Method and device for implementing cognitive network |
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IPC classes for russian patent Method and device for implementing cognitive network (RU 2544792):
      
 Method for setting subbands in multicarrier communication system and radio base station apparatus / 2544781
Group of inventions relates to mobile radio communication. In the apparatus, a modulating unit modulates encoded Dch data to generate Dch data symbols. The modulating unit modulates encoded Lch data to generate Lch data symbols. An assigning unit assigns the Dch and Lch data symbols to subcarriers constituting OFDM symbols and outputs them to a multiplexing unit. At the same time, the assigning section assigns a set of Dch and Lch data symbols to each subcarrier for a respective subband.
 Supporting downlink, dl, triggered cqi feedback on hs-dpcch channel in cell in cell-fach state / 2544758
Disclosed is initiating and operating a high-speed dedicated physical control channel, HS-DPCCH, to report a current channel quality indicator, CQI. User equipment, UE, may receive a high speed-shared control channel, HS-SCCH, command from a Node B triggering a feedback response (i.e. a feedback regarding CQI and/or ACK/NACK on the HS-DPCCH channel). The UE may perform a physical random access channel (PRACH) procedure in response to receiving the command, and may also initiate a collision resolution procedure. The user equipment may transmit a current channel quality indicator (CQI) of the user equipment on a high-speed dedicated physical control channel (HS-DPCCH) prior (before, beforehand) to achieving collision resolution (i.e. a result from the collision resolution procedure).
 Wireless base station device using cooperative harq transmission system, wireless terminal device, wireless communication system and wireless communication method / 2544746
Invention relates to the technology of a cooperative transmission system which uses a distributed antenna. In a transmitting device at the serving eNB side, a first packet transmitting unit carries out an operation for packet transmission of retransmitted data. On the other hand, in a transmitting device at a cooperative eNB side, a second packet transmitting unit carries out an operation of transmitting a new data packet corresponding to information transmitted from the serving eNB by a packet transmitting unit. Control information on transmission by the serving eNB and the cooperative eNB to UE is transmitted only through a PUCCH from the UE to the serving eNB and a PDCCH from the serving eNB to the UE. The serving eNB and the cooperative eNB transmit the new data packet and the communication control information or the like through an X2 interface.
 Method and apparatus for reporting measurement data / 2544236
Invention relates to communication systems. Disclosed is a method of reporting measurement data, which includes initiating a plurality of measurements by user equipment to provide measurement data; initiating transmission, from the user equipment to a network element, a message indicating presence of measurement data; and in response to a message coming from said network element and requesting said measurement data, initiating a response transmitted from said user equipment to said network element and containing only part of said measurement data, as well as information indicating presence of additional measurement data.
 Method and device for data processing in communication network / 2544235
Invention relates to a wireless communication system which employs a discontinuous reception (DRX) function and is intended for efficient use of the DRX function.
 Home evolved node b (henb) blind detection for hierarchy configuration / 2544234
Invention relates to communication engineering and can be used for blind detection performed by a home base station (eNodeB). An apparatus for determining a synchronisation level comprises deciding means configured to decide whether or not a predefined condition is met; receiving means configured to receive a first signal at predefined mute time intervals; control means configured to control time synchronisation based on a first signal; inhibiting means configured to inhibit sending a second signal at said predefined mute time intervals, if the deciding means decides that the predefined condition is met, wherein the second signal corresponds to the first signal; monitoring means configured to monitor, if the first signal is received at the defined mute time intervals, if the deciding means decides that the predefined condition is met, and determining means configured to determine a first mute time interval based on the monitoring results obtained by the monitoring means, and a predefined rule, wherein the first mute time interval is one of the predefined mute time intervals, wherein the monitoring means detects reception of the first signal, wherein, according to said predefined rule, a first synchronisation level is determined, which corresponds to the mute time interval of the received first signal, and a second synchronisation level associated with the apparatus is defined as the next synchronisation level below the first synchronisation level.
 Audibility improvement for reference signals / 2544003
Invention relates to wireless communication engineering and can be used to improve audibility of transmitted reference signals. The method of improving audibility of reference signals in a wireless network includes a wireless communication device selecting one or more subframes as one or more positioning subframes for blanking data transmission; and said wireless communication device indicating one or more of said one or more positioning subframes as one or more multicast/broadcast single frequency network (MBSFN) subframes to additionally blank cell-specific reference signal (CRS) transmission over the one or more MBSFN subframes in a user plane.
 System and method for traffic to pilot power determination in uplink multiple input multiple output transmission / 2544000
Invention relates to wireless communication. Methods and apparatus are provided for uplink MIMO transmissions in a wireless communication system. In particular, scheduled uplink transmission power is allocated between a primary stream including an E-DPDCH and a secondary stream including an S-E-DPDCH. Specifically, a ratio between the power of the E-DPDCH and a primary pilot channel DPCCH, as well as a ratio between the power of the S-E-DPCCH and an unamplified power of the S-DPCCH, each corresponds to a first traffic to pilot power ratio. Further, the transport block size for a primary transport block provided on the E-DPDCH is determined based on the first traffic to pilot power ratio, while the transport block size for a secondary transport block provided on the S-E-DPDCH is determined based on a second traffic to pilot power ratio.
 Managing overload in communication network / 2543996
Invention relates to communication systems. Disclosed is a method of managing overload in a network node 20 of a communication network using a distributed queue system for transmitting data units. Said network node 20 has a priority queue (PQ) 40 for protocol data units (PDU) 50, 50a-n, in accordance with a constant retransmission protocol. The method comprises detecting 110 a state indicating overload and, in response, handling 120 content of the PDU 50, 50a-n in the PQ 40. A network node (20) and a computer-readable medium are also disclosed.
 Methods and nodes for scheduling radio resources in wireless communication system using enhanced timeslot assignment (efta) / 2543989
Invention relates to communication systems. Disclosed are methods and nodes (110, 120) in a wireless communication system (100), in particular, a network node (110) and method in a network node (110), for scheduling wireless transmissions between the network node (110) and a mobile station (120). The method comprises obtaining (301) a multiple timeslot class of the mobile station (120) and determining (302) a downlink temporary block flow configuration. Further, the method comprises assigning (304) uplink timeslots to the mobile station (120) and associating each assigned uplink timeslot with a priority value, based on the downlink temporary block flow configuration and the multiple timeslot class of the mobile station (120). A mobile station (120) and a method in a mobile station (120) are disclosed.
 Method and device for diverting transmission in multiple access wireless communication system / 2343646
Description is given of a method and device for switching wireless terminal channels. For this, several communication channels with different physical characteristics are supported in the cell of the base station. Each wireless terminal controls several channels and evaluates several channels at the same time, such that, there can be fast switching between channels. Information on the quality of the channel is sent from each wireless terminal to the base station. The wireless terminal or base station selects the channel, based on the evaluated quality of the channel. By supporting several channels and through periodical changes in channels in different implementation alternatives, the time taken before the wireless terminal finds good or suitable channel conditions is minimised, even if the wireless terminal changes position. Several antennae are used at the base station for simultaneous support of several channels, for example, through control of the directional pattern of the antennae.
 Method of generating repeating audio signals for call return and device to this end / 2343647
During different set conditions providing source of sound for company service information as substitutive audio signal for call return, receiver can determine whether source of sound for service information for subscriber or set time interval is provided for. Present invention provides for a method and device for obtaining substitutive repeating audio signal for call return based on choice or successively in accordance with a preset condition.
 Access channel with limited reception time / 2343648
Method consists of the following stages: reception of request for channel access from user terminal. Reception of the user terminal can be one of several active user terminals. The transmission cycle duration is determined as a result of reception of a request for channel access. The arrival time of data to the cycle is determined for the user terminal. The arrival time of data to the user terminal is set, so as to designate the channel for the user terminal, starting from the time of arrival of data.
 System and method of band subchannel control with adaptive modulation and coding (amc) in communication system of multiple access with orthogonal-frequency division / 2344548
Method for assignment of band channel with adaptive modulation and coding (AMC) to subscriber stations (SS) is realised in wireless communication system, which separates full range of frequencies into multiple subcarrier bands, every of which represents set from previously specified quantity of subranges, every of which represents set of previously specified quantity of adjacent subcarriers. Method comprises the following stages: necessity in use of band channel with AMC is detected; quality of reception is measured in frequency bands; list of frequency bands with high quality of reception is formed; request is sent for assignment of band channel with AMC as well as foresaid list to base station (BS); response is received to mentioned request from BS; in compliance with response, changeover is done in SS in condition of use of band channel with AMC.
 Method and device of communication for transfer and reception of messages about services to service center or back / 2344568
Service center (SZ) for transmission of information content should not know or define number of person who initiates loading, and sole connection (TKV) of communication from communication device (TKG) to service center (SZ) does not require making another communication contact, at that information content is requested in the first communication session (SI1) with the first notice (SN1) about service from service center (SZ), and is delivered from service center (SZ) in the second communication session (SI2) with at least one notice (SN2) about service.
 System of home register of location for servicing of user of several types of networks / 2344569
System comprises subsystem of all-channel signaling processing, data base subsystem, services processing subsystem and operational maintenance subsystem, at that all subsystems are connected to communication network and accordingly realise information exchange; at that all-channel signaling processing subsystem performs function of OKC-7 processing; data base subsystem is used for storage of user data; services processing subsystem comprises one or more modules for processing of home location register services; operational maintenance subsystem comprises operational maintenance server, services acceptance terminal and close-range terminal of operational maintenance.
 Grouping of pilot-signals and control of sets in communication systems with multiple carriers / 2344570
In one version of realisation access network may assign group identifier (group ID) to every of pilot-signals associated with sector, for instance, on the basis of pilot-signals coverage areas, and transmit pilot-signals with appropriate group ID. PN shift may be used as group ID. Access terminal may group accepted pilot-signals in one or more pilot-signals group according to their group ID, and select representative pilot-signals from every group of pilot-signals for transmission of message about pilot-signal level. Access terminal may also use grouping of pilot-signals for efficient control of sets.
 Method and device for switching between common and individual channels for provisioning of broadcasting content services transmission in wireless telephone network / 2344571
Wireless communication network comprises different base stations and subscriber stations. Every base station provides services of broadcasting content transfer to subscriber stations via communication channels of one of the following types: 1) common channel used by multiple subscriber stations, 2) individual channels, every of which is separated for use by separate subscriber station. In response to one or several preset changes of condition, i.e. change of number of subscriber stations that request the program, change of transmission power level used by base station, or in case of other change of network condition, communication channel type used for provisioning of broadcasting content to one or several subscriber stations is switched over.
 Power control in external circuit for wireless communication systems / 2344572
One version of realisation comprises base station, which controls channel of speed indicator, decodes speed indicator channel with application of likelihood maximum decoder and determines availability of packet in speed indicator channel by comparison of probability to threshold, and analyses frame validity in packet-oriented channel on the basis of availability and content of packets accepted in speed indicator channel.
 Method and device for provisioning of multimedia service of broadcasting/multicasting in system of mobile communication / 2344573
Method and device are provided for provisioning of one or more communication services of point-point set type, such as multimedia service of broadcasting/multicasting (MBMS), to one or more mobile terminals, or subscriber devices (AA). When one or more mobile terminals are moved to new zone of mobile communication system controlled by other network component, after connection to service, information is transmitted between network elements by method.
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FIELD: physics, computer engineering. SUBSTANCE: invention relates to telecommunication. The method includes steps of: determining a type of a received network task; according to the type of the received network task, selecting a cognitive capability identifier corresponding to the type of the network task, where the cognitive capability identifier is configured to identify a cognitive capability of a network device; using network devices with the cognitive capability identifier as alternative network devices; determining an alternative network device that is among the alternative network devices and has a cognitive capability that meets a condition for performing the network task is a target network device; and controlling the target network device to perform the network task. In the method of implementing a cognitive network disclosed in the present invention, the cognitive capability of each network device is identified through cognitive capability identification on network devices to clearly embody a difference between the network devices, it is evaluated, according to the cognitive capability identifiers of different devices, whether the network devices need to perform a network task, and a device that meets the condition for performing the network task is selected, in order to ensure that the network task is smoothly performed. A method and a device for implementing a cognitive network are disclosed. EFFECT: higher efficiency of allocating resources. 9 cl, 8 dwg
The technical field to which the invention relates The present invention relates to the field of telecommunications equipment, in particular to a method and apparatus for implementing a cognitive network. Prior art Currently CR (cognitive radio) is the most promising technology to address the shortage of spectrum resources. The study shows that a large number of fixed distributed spectra is not fully used, resulting in a huge loss of spectral resources. Cognitive radio can detect these available bandwidth using the perception of radio spectral environment and dynamically access these frequency bands without interference from PU (master user), thereby improving the utilization of the spectrum. Based on the aspect of the concept, cognitive ability cognitive radio refers to the ability of matching the configuration settings by examining the environment in real-time to apply to the current radio environment. The radio network includes various terminals, such as an MS (mobile station) and UE (user interface), multiple device access to data, such as BTS (base transceiver station), Node (mobile base station), eNode B (I�Sovershenstvovanie Node B) and AP access point, as well as various network devices, such as MSC (mobile switching center). These devices have differences in cognitive abilities. Some devices have cognitive abilities, while some devices do not possess the cognitive abilities. Even for devices that have the cognitive ability, specific cognitive abilities that they possess, in some degree different. Since the cognitive abilities of these devices vary, their use for the implementation of the tasks or functions in the network, these differences in cognitive abilities lead to differences in the specific embodiment of a task or function that produces a result of certain risks in the implementation of the objectives of the network by network devices, and leads to the impossibility of the task network. Summary of the invention Embodiments of the present invention provide a method and a device for implementing the cognitive network. Specific solutions are described as follows. Implementation option provides a way of implementing a cognitive network, including: the type definition adopted by the objectives of the network; in accordance with the type of the adopted objectives of the network the selection of the at least one identifier cognitive ability, suitable for�is Central to the task type network, where the ID of cognitive ability configured to identify the cognitive ability of the network device; the use of network devices with at least one identifier cognitive ability as an alternative of network devices; determining that the alternative network device that is among the alternative network device and has the cognitive ability, which satisfies the condition for performing network tasks, is the target network device; and the management target network device to perform network tasks. Implementation option provides a device for implementing the cognitive network, including: the definition block, configured to determine the type of the adopted objectives of the network; the selection unit identifier cognitive ability, configured to: select in accordance with the type of the adopted network tasks, at least one identifier cognitive ability, appropriate to the type of network tasks, where the ID of cognitive ability configured to identify the cognitive ability of the network device; the block selection alternative devices that are configured to use network devices with at least one identifier of cogni�active abilities as an alternative of network devices; the selection unit of the target device, configured to determine that the alternative network device that is among the alternative network device and has the cognitive ability that satisfies the conditions for performing network tasks, is the target network device; and a control unit configured to control the target network device to perform network tasks. The technical solution in previous decisions, has the following advantage: in the case of using the method of identifying the cognitive abilities of network devices, the distinction between network devices can be implemented unambiguously that solves the problem of prior art, namely that cognitive ability of the network devices are not unambiguous and the task network in the process of selecting a network device, there are risks, and further reaches the goal, which consists in that the device satisfies the equation network is selected in accordance with the identifiers of the cognitive abilities of the various devices for performing network tasks. Brief description of the drawings Fig.1 is a flow chart of a method of implementing a cognitive network in accordance with the first embodiment of osushestvlenie� of the present invention; Fig.2 is a flow chart of a method of implementing a cognitive network in accordance with the second embodiment of implementation of the present invention; Fig.3 is a schematic graphical representation of an identifier of a network device in accordance with the second embodiment of implementation of the present invention; Fig.4 is a flow chart of a method of implementing a cognitive network in accordance with a third embodiment of implementation of the present invention; Fig.5 is a schematic graphical representation of another identifier of the network device in accordance with a third embodiment of implementation of the present invention; Fig.6 is a flow chart of a method of implementing a cognitive network in the fourth implementation of the present invention; Fig.7 is a flow chart of a method of implementing a cognitive network in accordance with a fifth alternative implementation of the present invention; and Fig.8 is a schematic structural graphical representation of an apparatus for implementing a cognitive network in accordance with an embodiment of implementing the present invention. Detailed description of embodiments of the Technical solutions according to embodiments is p�effect of the present invention are clearly and completely described below, in embodiments of the present invention with reference to the accompanying drawings. Obviously, the following implementation options are only a part and not all the options of implementing the present invention. All other implementation options received by specialists in the art based on the embodiments of the present invention without creative efforts, are within the scope of protection of the present invention. The present invention discloses a method of implementation of the cognitive network. By identifying the cognitive abilities of network devices can be evaluated in accordance with the cognitive abilities of different devices, if a network device to perform network tasks, as well as a device that satisfies the equation network is selected for the implementation of tasks of the network, which guarantees the successful Commission of a network task. The objective of the present invention specifies one or a combination of the recognition task, the task of decision making and task configuration changes. Cognitive abilities that are essential to accomplishing the objectives of the network include three types of abilities: recognition, learning and change configuration. Discrimination refers to the ability of identification of the peripheral environment of the radio communication and the detection of free and available spectrum. Learning ability refers to the ability�ability to perform adaptive processing in accordance with a change in the radio environment. The ability to change the configuration refers to the ability reconfiguration parameter, software and so on in accordance with a change in the radio environment. Types and levels of cognitive abilities and the specific parameters of cognitive abilities possessed by different network devices, different. The following description describes in detail each of the cognitive abilities. In actually existing network connection, a particular device may have the cognitive ability or may not have the cognitive ability. In actually existing network parameters to measure specific recognition ability include the sensitivity, the recognizable range of the frequency band, the access technology for recognizable signals that are supported by the recognition algorithm and support the recognition engine. All these parameters must be passed as a single IE (information element) in the network. The sensitivity is related to the potential abilities of the hardware device and refers to the ability of the device in the detection signal of a certain level. A lower level of signal that can be detected, an indicator of a higher sensitivity of recognition. Recognized dia�azone bandwidth, mainly refers to the range of frequency bands that can be detected by the device. This index is related to the potential abilities of the hardware or logical potential abilities of the hardware device. A wider range of frequency bands that can be detected, and a greater amount of resources available bandwidth that can be recognized, are indicative of a higher recognition ability of the device in this aspect. Technology access for detectable signals, mainly related to the access signal, which can be recognized by the device, for example, recognizes one or more types of signals from systems such as GSM, IS-95CDMA and so on, 2G, WCDMA, CDMA2000, TD-SCDMA, WiMAX, and so forth, in 3G and Wi-Fi. In this aspect, a greater number of access systems for signals that can be detected, an indicator of higher recognition ability of the device. Technology access for detectable signals can be used to implement the differences in the abilities of recognition between devices. For example, one device can recognize only one type of radio signal (such as one type of radio signal in 2G and 3G, or Wi-Fi signal), while the other Optionals�STV can detect two or more types of radio signals. Support the recognition algorithm, mainly refers to the ability of the recognition processing device. For example, one device can support algorithm for blind detection (such as energy detection), while another device may support the detection algorithm the characteristic features of the signal (such as detection using a matched filter). In particular, one device might not support the detection, in which the signal is already different, while another device may support the detection, in which the signal can only be different. Various algorithms supported by different devices, can be used to implement a differences of abilities recognition. Support the identification mechanism, mainly refers to whether the device supports jointly working mechanism of recognition, and if working together is the recognition mechanism is supported, is there an appropriate mechanism for the transfer of messages, and the integration algorithm is supported. Differences of abilities recognition can be implemented in accordance with the recognition mechanisms supported by the device. For example, one device supports co-working mechanism, in �on the other device does not support it. Learning ability is measured by a parameter learning algorithm supported by the device. These algorithms include: fuzzy logic, genetic algorithm, evolutionary algorithm and strengthening training. Problems and objectives in a variety of application scenarios can be implemented through the use of various learning algorithms. A greater number of learning algorithms supported by the device, serves as an indicator of a stronger ability, i.e. the ability of the device to the education of adaptation to the environment, and a larger value of the parameter learning algorithm. In actually existing network parameters to measure the content of learning and to measure learning ability can be transferred in a single IE (information element) in the network. The ability to change the configuration of, mainly, is measured by parameters such as the ability to change hardware configuration and change the configuration of software of a particular device. Hardware configuration mainly involves changing the configuration of the hardware parameters (such as radio frequency parameter), and the change in configuration of software mainly involves changing configuration Protocol (such as �changing the system configuration). In actually existing network indices for the measurement of the ability of configuration changes and the ability to measure changes to the configuration can be transferred in a single IE on the network. On the basis of previous theoretical foundations embodiment of the present invention is shown in the following implementation options: The first embodiment of the Fig.1 is a logical flow chart of a method of implementing a cognitive network in accordance with the first embodiment of implementation of the present invention, including: Step S11: Determine the type of the adopted network tasks. Determine whether the task network, the making of which is necessary at the present time, the recognition task, the task of the decision or task configuration changes or a combination of any two of these three types of tasks, or includes all three types of tasks. Step S12: In accordance with the type of the adopted objectives of the network selects at least one identifier cognitive ability that matches the type of network tasks, where the ID of cognitive ability configured to identify the cognitive ability of the network device. Identify the cognitive ability of each network device. Cognitive abilities.�ü each of the terminals, access devices and network devices can be represented by setting or item of information. Different identifiers cognitive abilities are used to represent different cognitive abilities and provided for the network as a basis for choice, if must be implemented in a variety of tasks or functions, network device for performing tasks or functions. The same network device can have multiple identifiers cognitive abilities, each of which has a different shape, and identifiers identify cognitive ability cognitive ability of network devices from various relevant aspects. If the identifier is selected cognitive abilities in accordance with the type of task network, one or more identifiers cognitive abilities appropriate to the type of task network can be selected in accordance with the needs of the current task network. Assuming that the current task network, which must be met, is the recognition task, in this case can be selected one or more identifiers cognitive abilities containing the IDs of recognition. Step S13: the Use of a network device with said at least one identifier of cognitive ability in to�quality alternative network devices. Suppose that the result determined in step S12, so that the task of the network is the task of recognition. At this stage, in accordance with the fact that the type of task network is a task of recognition, select a network device that contains the ID recognition ability that matches the type of recognition task, and use all network devices that contain identifiers recognition ability, as an alternative of network devices. Step S14 Determines that the alternative network device that is among the alternative network device and has the cognitive ability, which satisfies the condition to perform the task network, the target network device. In actually existing network connection, a particular device may have the cognitive ability or may not have the cognitive ability. Levels and parameters of cognitive abilities possessed by different devices, different, even if they contain cognitive ability, and must be assessed in accordance with the specific needs of network tasks, whether cognitive ability of alternative network device-demand network tasks. Only network device that meets the requirement, can be defined as a�the first network device to perform network tasks. If the condition for executing the task of the network is simple, for example, it is only necessary that contained relevant cognitive ability, all of the alternative network device can be identified as the target network device at this stage, in accordance with the result of the previous stage. However, if the condition for executing the task network is strict, for example, in addition to the requirement for the type of network devices with cognitive ability, there is an additional requirement level and cognitive ability parameter, in this phase should be measured using a level and a parameter of the network device in accordance with actual requirements, and the network device that satisfies the condition for performing network tasks, defined as a target network device. Step S15: Control of the target network device to perform network tasks. In the previous method was identified cognitive ability of a network device, clearly realized differences in cognitive abilities between network devices, using cognitive identifier was assessed type of cognitive ability, which has a network device, and then evaluated whether the network device to participate in the decision network tasks in order was �astigmata aim of carrying out the objectives of the network. The second implementation option In the way of implementing cognitive network disclosed in the second embodiment of the case in which the task of the network is the task of recognition is taken for example to describe the process of this method, and sequence of actions shown in Fig.2, includes: Step S21: Determine the type of the adopted network tasks. The result of the determination is the task of recognition. Step S22: In accordance with the type of the adopted objectives of the network selects at least one identifier cognitive ability that matches the type of network tasks, where the ID of cognitive ability configured to identify the cognitive ability of the network device. The identifier of the network device, the selected at this stage, may indicate a specific cognitive ability and level, which has a network device, and a schematic graphical representation of the ID looks like, as shown in Fig.3. A filled circle indicates that the device has the cognitive ability for this item, and the empty circle indicates that the device does not have the cognitive ability for this item. Can also be taken and other forms to specify the content of cognitive ability. For example, use the checkbox to indicate that ustroystvami.imeet cognitive ability for this item, and the cross is used to indicate that the device does not have the cognitive ability for this item. As shown in Fig.3, if a particular network device has no cognitive ability, the appropriate level of cognitive ability is equal to 0. If the network device has an extremely ability to make configuration changes, its level of cognitive ability is equal to 1. If the network device has an extremely trainability, its level of cognitive ability is equal to 2. If the network device has the ability to make configuration changes and the ability to learn, its level of cognitive ability is equal to 3. Other levels can be derived by analogy. Then, if the network device has the ability to recognize, the ability to learn and the ability to make configuration changes, its level of cognitive ability is the highest, that is 7. The higher the level, the greater the number of types of cognitive abilities possessed by the network device, and the more difficult the task network, which may be executed by a network device. Because the current task network is a recognition task, select the ID of cognitive ability with the ability of recognition. Step S23: Used�t network device with said at least one identifier cognitive ability as an alternative network devices. In accordance with the result at step S21 as an alternative of a network device in accordance with the type of network tasks should be selected network device with ID recognition ability. As shown in Fig.3, as an alternative, the network devices must be selected network device identifier cognitive ability, indicating that the network device has a certain cognitive ability and level, as well as with the level of cognitive ability, which is in the range of 4-7. Step S24: Assess in accordance with the ID of cognitive ability, which indicates that the network device has a certain cognitive ability level and whether the level of cognitive ability of the alternative network device to the condition to perform the task of the network; if Yes, perform step S25a; if not, perform step S25b. If the condition for the task network contains the presence of the identifier recognition ability and the level of cognitive ability, at least equal to 6 to perform the task, the alternative network device filtered out during the evaluation process. Step S25a: Determine that an alternative device is the target network device. After filtering out network resolv�STV with the levels of cognitive ability, equal 6 and 7. Step S25b: Reject alternative device that does not satisfy the condition. Reject the network device with the levels of cognitive ability, equal to 4 and 5. Step S26: Control of the target network device to perform network tasks. Control a target network device with the levels of cognitive ability, equal to 6 and 7 to perform network tasks. In this embodiment, the implementation of the task of recognition is accepted, for example, by obtaining the specified identifier cognitive ability, which indicates that the network device has a certain cognitive ability and level, and also evaluated whether the network device of cognitive ability, appropriate to the tasks of recognition, and then evaluated in accordance with the level of cognitive abilities identified in the identifier cognitive ability, whether the network device to the condition to perform the task network, and selects a network device that satisfies the condition to perform network tasks. This method resolves a problem in which the task of the network fails due to the fact that the cognitive ability of the selected network device does not meet the requirement of the task network, which improves the operating efficiency of the network. T�eti implementation option In this embodiment of the case in which the task of the network is the task of recognition, is still taken as an example to further describe the method. His procedure is performed by the method shown in Fig.4, includes: Step S41: Determine that the type adopted by the network task is the task of recognition. The task of the network in this embodiment, the implementation is still a problem of recognition, that is, the task is to identify the environment of the radio, and then determine whether there is a free and affordable range. Step S42: Choose two identifiers cognitive skills relevant to the type of network tasks, where the IDs of cognitive ability configured to identify the cognitive abilities of the network device. Identifiers cognitive ability that is selected in this embodiment of implementation, include: an identifier indicating that the network device has a certain cognitive ability and level, and the identifier indicating the value of the parameter cognitive ability, which has a network device. In the number of identifiers cognitive abilities gained in this embodiment, in addition to the identifier indicating a specific cognitive ability and level in the pre�future version of the implementation, in their composition additionally includes the identifier specifying the parameter value of cognitive ability, which has a network device, i.e. an identifier that further refines cognitive ability of the network device. Its schematic graphical representation looks like, as shown in Fig.5, and the specific parameters of recognition ability, learning ability and the ability to change the configuration, which has a network device, indicated separately. Different IDs are the values of the parameters for different cognitive abilities. For example, the recognizable range of the frequency band is designated as S1, indicates that the corresponding recognizable range of the frequency band is from 100 to 100 MHz, and support the learning algorithm, denoted as L1, indicates that support the learning algorithm is an algorithm fuzzy logic. This form of identification is more specific than a form of identification in the second embodiment of implementation. If the requirement of the objectives of the network lies in the fact that a network device that performs the task network, had a certain level of cognitive ability, the requirement can be implemented through a form of identification from the second version of the implementation. If the requirements� network task is more specific however, assuming that it is necessary that the recognizable range of the bandwidth of a network device that performs the task network, ranged from 50 to 500 MHz, the form of identification of a second embodiment of the cannot satisfy this more stringent requirement. Therefore, you must use the identifier specifying the parameter value of cognitive ability, which has a network device in this embodiment implementation. Form, specifically selected for identification, may be determined in accordance with the requirement of the actual network tasks. If in accordance with the requirement of network tasks, it is necessary to determine the whether the network device specified or defined two or three specific cognitive abilities and their levels should be obtained only identifiers cognitive abilities disclosed in the second embodiment of implementation. After determining that the device has a certain, defined two or three specific cognitive abilities, if you need a specific measurement of these cognitive abilities possessed by the device, IDs cognitive abilities disclosed in this embodiment, the implementation may be obtained separately. If is to be determined�and specific cognitive ability, which has a device, IDs cognitive abilities of these two forms may be obtained at the same time as described in this embodiment implementation. Step S43: the Use of a network device with two identifiers cognitive ability as an alternative network devices. Use the network device with the previous two identifiers cognitive ability and the ability of recognition as an alternative network devices. Step S44: Assess in accordance with the ID of cognitive ability, which indicates that the network device has a certain cognitive ability level and whether the level of cognitive ability of the alternative network device to the condition to perform the task of the network; if Yes, perform step S45a; if not, perform step S45b. Assume that the statement of the problem the network is that the level of cognitive ability is equal to 6. Then the network device with the level of cognitive ability, equal to 6, is selected from alternative network devices at this stage. Step S45a: Assess in accordance with the ID of cognitive ability, indicating the value of the parameter cognitive abilities possessed by the network device, whether the value Paramet er�and cognitive ability of the alternative network device to the condition to perform the task network; if Yes, then perform step S46a; if not, perform step S46b. If the condition for the task network is that the recognizable range of the bandwidth of the network device is equal to from 50 to 500 MHz, we find, in accordance with the ID of cognitive ability, indicating that the parameter value cognitive abilities possessed by the network device, the network device with the value of the recognizable range of the frequency band, in recognition ability equal to S1 for use by network devices in the target network device. Step S45b: Reject network device that does not meet the level of cognitive ability. Reject the network device with the levels of cognitive ability, equal to 4, 5 and 7. Step S46a: Determine that an alternative device is the target network device. Determine that the network device with the level of cognitive ability, equal to 6, and the value of the recognizable range of the frequency band equal to S1 is the target network device. Step S46b: Reject network device, the value of the cognitive ability which does not satisfy the condition for network tasks. Step S47: Control of the target network device to perform network tasks. In this embodiment, the implementation in supplementary�lanie, what should assess the level of cognitive ability of the network devices that need to be performed a detailed analysis of the recognition ability of the network device, the measured value or values of one or more parameters, such as sensitivity of perception, the recognizable range of the frequency band, the access technology for recognizable signals that are supported by the recognition algorithm and support the mechanisms of recognition and evaluated in accordance with these parameter values, whether the ability of a network device in the detection of free spectrum in the environment of radio communications condition for this recognition task, and if the values of its parameters satisfy the condition for the recognition task, defined, what network device is the target network device to perform the recognition task. The method disclosed in this embodiment, implementation, describes in detail the process of determining the target devices, avoiding the case in which the task of the network fails due to the fact that the value of the parameter of the network device does not satisfy the condition for network tasks. The fourth embodiment of the The procedure implementations of the cognitive network, as disclosed in the fourth embodiment of the present invention, looks like�Asano in Fig.6, includes: Step S61: Determine the type of the adopted network tasks. The task of the network in this embodiment, the implementation is still a problem of recognition, that is, the identification of environmental radio for recognition in the future as to whether there is free and available range. Step S62: Choose at least one identifier cognitive ability that matches the type of network tasks, where the ID of cognitive ability configured to identify the cognitive ability of the network device. In this embodiment, the implementation of the chosen two identifiers cognitive abilities described in the previous version of the implementation. Step S63: the Use of a network device with at least one identifier cognitive ability as an alternative network devices. Install network devices that satisfy the previous condition as an alternative network devices. Step S64: Assess in accordance with the ID of cognitive ability, which indicates that the network device has a certain cognitive ability level and whether the level of cognitive ability of the alternative network device to the condition to perform the task of the network; if Yes, perform step S65a; if not,�complete the stage S65b. Assume that the statement of the problem the network is that the level of cognitive ability is equal to 7. At this stage, from alternative network device selects a network device with the level of cognitive ability, is $ 7. Step S65a: Assess in accordance with the ID of cognitive ability, indicating the importance of cognitive ability parameter of the network device, whether the value of the parameter alternative cognitive ability of the network device to the condition to perform the task of the network; if Yes, perform step S66a; if not, perform step S66b. If the condition for the task network is that the recognizable range of the bandwidth of the network devices is from 500 to 1000 MHz, we find, in accordance with the ID of cognitive ability, indicating the importance of cognitive ability parameter of the network device, the network device with a recognized value for the parameter range of the frequency band with the ability to recognize equal to S2, to use the network device as the target network device. Stage S65b: reject network device that does not satisfy the condition of level of cognitive ability. Rejected by the network device, the levels of cognitive ability which is equal to 4, 5 and 6. Step S66a: Determine that �alternative devices are the target network device. Determine that the network device with the level of cognitive ability, equal to 7, and recognized the value of the parameter bandwidth equal to S2, are the target network device. Step S66b: Reject network device, the value of the cognitive ability which does not satisfy the condition for network tasks. Step S67: Assess whether the number of target network device a pre-determined requirement; if Yes, perform step S68; if not, perform step S69. This advanced stage estimates the number of target network devices that are selected to perform the recognition task. If we assume that the number of target network devices, which satisfies the requirement of the tasks of recognition, is 5, and the number of the current target network devices that are selected to perform the task, is 5 or more than 5, it indicates that the selected network device can perform the task of recognition, and subsequent operation continues. If the number of current target network devices that are selected to perform the task, less than 5, the selected network device can not perform the task of recognition. Step S68: to Manage the selected network device to perform network tasks. Step S69: Stop the task network. In the way of implementing �cognitive network, when opened in this version of the implementation, added the process of detecting the number of target network devices to perform network tasks, eliminating the problem that the network fails due to the small number of target network devices. Implementation option 5 The procedure implementations of the cognitive network, as disclosed in the fourth embodiment of the present invention, is shown in Fig.7, includes: Step S71: Determine the type of the adopted network tasks. The task of the network in this embodiment, the implementation is still a problem of recognition. Step S72: Choose at least one identifier cognitive ability that matches the type of network tasks, where the ID of cognitive ability configured to identify the cognitive ability of the network device. In this embodiment, the implementation of the chosen two identifiers cognitive abilities described in the previous version of the implementation. Step S73: the Use of a network device with at least one identifier cognitive ability as an alternative network device. Install network devices that satisfy the previous condition as an alternative network device. Step S74: Assess� in accordance with the ID of cognitive ability, which indicates that the network device has a certain cognitive ability level and whether the level of cognitive ability of the alternative network device to the condition to perform the task of the network; if Yes, perform step S75a; if not, perform step S75b. Step S75a: Assess in accordance with the ID of cognitive ability, indicating the importance of cognitive ability parameter of the network device, whether the value of the parameter alternative cognitive ability of the network device to the condition to perform the task of the network; if Yes, perform step S76a; if not, perform step S76b. Step S75b: Reject network device that does not satisfy the condition of level of cognitive ability. Step S76a: Determine that an alternative device is the target network device. Stage S76b: Reject network device, the value of the cognitive abilities which does not satisfy the condition for network tasks. Step S77: Assess whether the number of target network devices to a predetermined requirement; if Yes, perform step S78; if not, perform step S79. Step S79: Assess whether the updated task network; if Yes, perform step S710; if not, perform step S711. Evaluate whether to be updated those�painful task network for the goal of the network could be accomplished through the use of existing network devices in the network. Step S710: Update task network and perform step S72. The particular refresh operation can be set according to the actual situation. For example, the required amount recognizing device is reduced through the extension of recognition or increase the number of times of recognition for the currently selected network device to perform the recognition task satisfies the requirement of the updated network tasks in relation to the number recognition device, and then you could perform the task network. For example, the extension of the recognition should extend the time a network device, identifying the environment of the radio communication, and the increase in the number of times of recognition must recognize the environment of the radio many times through the use of the current network device. Characteristics reduce the required number of recognized devices is achieved by the timing of recognition and the number of times of recognition. For example, for the current task network requires ten network devices with the ability of the Recognizer to recognize the environment once for ten minutes. However, if the number�STV network devices, which satisfy current demand, is equal to five, the recognition time of a task network can be upgraded up to twenty minutes or number recognition task network can be upgraded to two, and thus may be allowed to carry on the work of ten network devices using current five network devices and performing network tasks. Step S711: Stop the task network. In the way of implementing cognitive network disclosed in this embodiment, implementation, additionally described a case where the target network device does not satisfy the condition for performing network tasks. If the selected target network device cannot satisfy the condition for performing network tasks, the current task network can be certified by waiting for the next task, or the current task network can be automatically updated by changing the conditions required for the execution of the current task network, such as the extension of the recognition or the number of positives, to reduce the requirements for the number of target network devices, or other requirements, by changing the conditions of the problem the network itself to the network device in the current network could perform the task network, which improves the efficiency of operation of the cognitive network. In the way of implementing cognitive path�ow network, disclosed in the present invention, if the type of task network is a combination of any two of or all of the recognition task, task definitions and task configuration changes, the method of implementation of the cognitive network is the same as the method described in the previous embodiment implementation. Need comprehensive review of the conditions required by each type of task networks, and network devices are filtered in accordance with this condition for network device discovery for many types of network problems. The present invention further discloses a device for implementing the cognitive network. Fig.8 depicts the structure. The device includes: a block 81 definition, block 82 the choice of identifier cognitive ability, block 83 the selection of alternative devices, block 84 select the target device and the block 85 management. The block 81 is configured to determine the type definition adopted by the network task; block 82 the choice of identifier cognitive ability configured to: select in accordance with the type of the adopted network tasks, at least one identifier cognitive ability, appropriate to the type of network tasks, where the ID of cognitive ability configured to identify the cognitive ability of the network device; block 83 you�ora alternative devices configured to use a network device with said at least one identifier cognitive ability as an alternative of network devices; block 84 select the target device is configured to determine that the alternative network device that is among the alternative network device and has the cognitive ability, which satisfies the condition to perform the task network, the target network device; and block 85 control configured to control the target network device to perform network tasks. The device further includes: a block 86 assessment tasks, block 87 is completed and the block 88 of the update. Block 86 assessment task assesses if the identifier cognitive ability alternative network device does not satisfy the condition for performing network tasks, should there be an updated task network; block 87 completion configured to complete network tasks, if the task of the network should not be updated; block 88 pack configured to update the network task, if the task of the network must be updated. All versions of the implementation in this description are set out in the order of increasing complexity. Each implementation option emphasizes the difference from other embodiments. Similar parts in all of the embodiments have links to each other. As the device disclosed in an embodiment of implementation, it corresponds to the method disclosed in embodiments, osushestvlenie�, and therefore, it is just described. In describing the elements of the method can be referenced to the illustration for the corresponding element. Specialists in the art may optionally be noted that the blocks and the steps of the algorithms in each example described in the embodiments disclosed in this document, can be implemented by electronic hardware, software, or combinations thereof. To uniquely illustrate the interchangeability of hardware and software composition and stages of each example, in General, are described in accordance with the functions in the preceding illustration. Variant implementations of these functions in hardware or software depends on the specific application and design constraints of the technical solution. Specialists in the art may use different methods to implement the described functions for each specific application. However, such an embodiment should not be viewed as outside the scope of the present invention. The steps of the methods or algorithms described in embodiments disclosed in this document can be directly implemented by means of hardware, a software module, executable by the percent�Sora, or combinations thereof. A software module can be placed in random access memory (RAM), read only memory (ROM), electrically programmable ROM, electrically erasable and programmable ROM, registers, hard disk, mobile disk, CD-ROM (read only memory CD-ROM) or in a storage medium of any other shape known in the art to which the invention relates. The previous description of the disclosed embodiments allows specialists in the art to implement or use the present invention. For specialists in the art will obviously many modifications to these implementation options. 1. Method of realization of the cognitive network containing phases in which: 2. A method according to claim 1, wherein the target network device are determined in accordance with the following process whereby determine in accordance with the identifier indicating the cognitive ability of the network device and the level of cognitive ability that alternative network device, the level of cognitive ability which satisfies the aforementioned condition to perform network tasks, is the target network device. 3. A method according to claim 1, wherein the mentioned at least one identifier cognitive abilities further comprises an identifier that specifies the parameter value of cognitive ability, which has a network device. 4. A method according to claim 3, wherein the process of determining target network device contains a phase which is determined in accordance with the identifier indicating the cognitive ability and cognitive ability of the network device and the identifier indicating the value Paramet er�and cognitive ability, which has a network device that alternative network device, the level of cognitive ability and the value of the parameter which satisfy the above condition to perform network tasks, is the target network device. 5. A method according to claim 1, further comprising the steps, in which: if the ID of the cognitive abilities of an alternative network device does not satisfy the above condition to perform network tasks, then stop the task network or update the task network and returning to the step of selecting at least one identifier cognitive ability, appropriate to the type of network tasks. 6. A method according to claim 5, in which the type of task network contains one or a combination of any of the recognition task, the task of decision making and task configuration changes. 7. A method according to claim 6, in which cognitive ability includes: recognition ability, learning ability or the ability of the configuration changes. 8. A device for implementing the cognitive network that contains: 9. The device according to claim 8, further comprising:
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