System and methods for beam forming in self-organising network (son)

FIELD: radio engineering, communication.

SUBSTANCE: result is achieved by dividing a geographical area into a plurality of geographical bins, setting up a plurality of zones for a cell based on a plurality of boundary thresholds, receiving a plurality of signal measurements from a plurality of user devices across the geographical bins, classifying the geographical bins into the different zones by comparing the signal measurements to the boundary thresholds of the zones, calculating a plurality of gain adjustments for the corresponding geographical bins in the zones and generating a beam pattern based on the gain adjustments.

EFFECT: optimising the antenna beam pattern of a base station.

23 cl, 10 dwg

 

This application claims the priority nepredvidatelne patent application (USA) serial number 13/646,557, filed October 5, 2012, entitled "System and Methods for Beam shaping in the Self-Organizing network (SON)", and provisional patent application (USA) serial number 61/544,155, filed October 6, 2011, entitled "System and Method for Beam shaping in the Self-Organizing Network", and these applications are hereby included in this document by reference.

The technical field TO WHICH the INVENTION RELATES

The present invention relates to the technical field of wireless communication and, in particular embodiments, to a system and methods for beamforming in a self-organizing network (SON).

The LEVEL of TECHNOLOGY

In wireless or mobile networks planning of radio frequency (RF) manual allocation may not be sufficient to change the RF environment, as the subscriber device (UE) such as mobile phones or smartphones, are typically moved. Additionally, the load of the system changes dynamically as more users log on the network, or quality of service (QoS) of each user is adjusted. The initial RF-parameters are sub-optimal manner due to inaccurate/insufficient input tool in RF planning and inherent inaccuracies in the models of RF propagation�message. Smart antenna is used in some wireless or cellular networks, called self-organizing networks (SON)", in order to increase throughput and to optimize the network coverage. In SON intelligent antenna (also called "adaptive antenna system (AAS)") may use the collected data and algorithms of formation and separation of the beam to provide an optimized antenna and thus improve communication. The beamforming is functionality that optimizes the shape of the main lobes of the radiation pattern of the antenna so that it is better to cover the intended service area in order to expand coverage and reduce interference. Thus, the improvement of algorithms of beamforming helps to further expand coverage and better solve the problems of interference.

Summary of the INVENTION

In one embodiment of the implementation, a method for beamforming in a wireless network includes the division of a geographic region on a variety of geographic cells, the establishment of many cell based on the set of boundary threshold values, reception of a plurality of signal measurements from a plurality of UE in geographical cells, classificat�Yu geographic cells as different zones by comparing the measurement signal with the boundary thresholds areas compute a set of adjustment gain for a respective geographic cells, at least in some areas and the formation of the pattern of antenna-based gain adjustments.

In another embodiment of the implementation, a network component that provides a beamforming in a wireless network, includes a processor and computer-readable storage medium that retains programming for execution by the processor, wherein the programming includes instructions to receive a variety of signal measurements from a plurality of UE according to the multitude of geographical cells for the area that covers the cell, to classify the geographic cells of the set of zones for the cell based on the comparison between the measurement signal and a set of pre-defined boundary threshold values for zones, calculate a set of gain adjustments for the respective geographic cells, at least in some areas and forming the pattern of antenna-based gain adjustments.

In still another embodiment, one implementation, a device that supports beamforming in a wireless network, includes a first module coupled with the second module and is arranged to form the pattern on�ravennati antenna by calculating a plurality of gain signals to a plurality of geographic cells, configured in a cell, wherein a signal amplification is calculated on the basis of multiple measurements of a signal and a plurality of pre-defined bounding threshold values for a plurality of zones configured for the cell, and wherein the second module is arranged to calculate the converging beam antenna pattern based on the pattern of the antenna.

BRIEF description of the DRAWINGS

For a more complete understanding of the present invention and additional advantages further reference to the subsequent detailed description when considered together with the drawings, in which:

Fig. 1 is a block diagram SON/AAS according to the embodiment of the implementation;

Fig. 2 illustrates the classification of zones according to the embodiment of the for honeycomb;

Fig. 3 shows the classification of zones according to another embodiment of the for honeycomb;

Fig. 4 is a block diagram of the sequence of operations of the method according to embodiment of the function control SON/AAS;

Fig. 5 is a block diagram of the sequence of operations of the method according to option implementation to display geographic cells in different zones;

Fig. 6 is a block diagram of the sequence of operations of the method according to embodiment of the filtering cells outside the intended boundaries;

Fig. 7 b is�OK is a flow chart of the method according to embodiment of the to adjust the gain of the antenna with the use of the tolerance;

Fig. 8 illustrates a scheme according to the embodiment of the variable gain control of the antenna by using a fixed threshold value;

Fig. 9 illustrates a scheme according to the embodiment of the to adjust the gain of the antenna on the basis of losses in the transmission path; and

Fig. 10 is a block diagram of a communication device according to the variant of implementation.

DETAILED DESCRIPTION of ILLUSTRATIVE embodiments of

Below explains in detail the creation and use of current preferred embodiments. However, one should take into account the fact that the present invention provides many applicable concepts of the invention that may be implemented in various specific contexts. Explained specific implementation options just illustrate specific ways to make and use the invention and do not limit the scope of the invention.

This document includes system and methods for implementing algorithms for beamforming to optimize the antenna and thus to expand coverage and reduce interference. The beamforming is implemented to extend the coverage, for example, using a vertical scheme of beamforming on the basis of the reports about changes�relations (MR) from user devices (UE), of location information of users and information on key performance (KPI). The beamforming may also be implemented, for example, using the horizontal scheme of beamforming to improve the network throughput based on the information of the traffic distribution and/or users. This is achieved by weighting the antenna towards the area with a higher concentration of users and/or higher density traffic.

The system includes the division of the geographic area of coverage at a variety of geographical cells. The cells are covered by one or more cells, wherein the cells in each cell is shown in different zones of the honeycomb, for example, in four of the Central zone of cells with different borders based on pre-defined thresholds. Intelligent antenna (or AAS) assigned to a cell, then can adjust the antenna pattern for the honeycomb through the definition and application of drawing pattern based on the calculated requirements by adjusting the gain for the cells. The requirements for adjusting the gain are determined by comparing zonal threshold values with the measured pilot/reference signals the UE cells. Many algorithms for beamforming and related functions is applied in order to determine the pattern of the directivity diagram in order to expand coverage, reduce interference, to prevent the output signal outside the intended boundaries, to increase the throughput of the system or to implement a combination thereof.

Fig. 1 illustrates SON/AAS 100 according to the embodiment of the implementation, made with the possibility to adjust the antenna for the coverage areas through the application of adaptive beamforming. SON/AAS 100 includes a node B 120 E-UTRAN (eNB), also known as evolved node B, SON/AAS-block 130 and one or more UE 110, which is arranged to communicate with the eNB 120. UE 110 are arranged in one or more cells (not shown), a wireless or cellular network. Examples of UE 110 include cell phones, smartphones, laptops and tablet computers. In other embodiments, system 100 may include base station or any other radioprimetime device, configured similarly to the eNB 120.

The ENB 120 includes a first radio unit 122 (designated as a remote radio unit (RRU) in Fig. 1) and the second radio unit 124 (designated as the main unit of bandwidth (BBU)) attached to the first radiobeacon. SON/AAS-block 130 contains SON module 132 and AAS-module 134 connected to the SON module 132. The first RF unit 122 is arranged to communicate with UE 110, which involves taking the measured pilot/reference signals or measurement reports from UE 110, and the information or reports on the location of the UE. The first RF unit 122 sends this information to the second radio unit 124. The second terminal 124 is arranged to process information and/or reports from the first RF unit 122, for example, aggregate information, or reports from various UE 110 for each cell and forward the processed information/reports to SON-module 132.

SON module 132 is arranged to calculate or determine one or more optimized antenna patterns for cells with the use of algorithms for beamforming and related functions, as described below, and send the results to AAS-module 134. AAS-module 134 is capable of converging to calculate the radiation pattern of the antenna using a convergent algorithms to achieve the calculated optimized radiation pattern of the antenna in accordance with the results of SON module 132. AAS-module 134 can calculate the parameters (e.g., phase and power antenna) for converging the radiation pattern of antenna. AAS-module 134 sends the information moving�cut the antenna back to the second radio unit 124, which then redirects the information to the first radio unit 122, for example, via the radio interface for General use (CPRI). The first RF unit 122 then uses the information to adjust the power and phase of the antenna to obtain an optimized pattern of directivity pattern for one or more cells.

SON/AAS 100 may implement adaptive beamforming, as described above (for example, to SON-in module 132) to extend the coverage area or cell on the basis of location information of UE and measurement reports. The vertical pattern of the antenna can be used to extend the network coverage. Additionally, adaptive beamforming can be implemented in order to increase the network bandwidth (i.e. to serve a greater number of UE 120 and/or to support additional communication traffic) based on UE information and traffic. The horizontal pattern of the antenna can be implemented in order to increase the network bandwidth, which is based on the weighting pattern of the antenna in the direction to areas with a higher concentration of users (UE 110) and/or higher density traffic.

Fig. 2 is a horizontal geographical representation of pattern�okazii 200 zones according to the embodiment of the implementation for the cell. Classification 200 zones used to implement adaptive beamforming in SON/AAS 100. Classification 200 zones contains the division of the coverage area of a wireless or cellular network comprising one or more cells, a plurality of cells. The cells can be adjacent geographical areas of square shape (shown as adjacent square blocks in Fig. 2), for example, 1 square meter (m2), 25 m2or with other sizes. Each cell is assigned a set of zones that are concentric relative to a cell that have different borders based on pre-defined thresholds. For example, the boundaries align with the predefined threshold values of signal levels in decibels (dB).

The zones include a Central zone 210 within the boundaries of the cell, intermediate or boundary zone 220, which corresponds to the normal border cell, the area 230 of interference that goes beyond the boundaries of a cell, and an external zone 240 are outside the zone 230 interference. Zones are used as criteria to classify the cells as different zones and to determine the gain control for cells in different zones of the cell. Many of the measured pilot/reference signals (e.g., received through the eNB 120 from one or more UE 110) in different cells is compared with �orehovyj the values of the corresponding areas to determine the requirements for adjusting the gain for each cell. The resulting requirements on the gain control for the cells are then used to calculate or determine the pattern of the antenna to cover the cells in the cell and neighboring cells. The drawing pattern is used by the eNB (or cell tower/base station) serving the cell. The drawing of the pattern can be applied on top of the antenna by default to cover the cells, leading to the optimized antenna pattern.

The drawing of the pattern is determined using the algorithm of beamforming, which can include adding (or increasing) the gain in cells within a boundary zone 220 and outside the Central zone 210 and the reduction (or elimination increase) amplification in cells within the zone of interference and 230 outside the boundary of the zone 220 on the basis of various criteria decision making. Criteria decision making include fixed threshold zones, a predetermined deviation in the difference between the measurement signal and threshold values, estimated losses in the transmission path of the antenna signal in the direction from the center of the cell, the density of rasprostaniteley in areas the density of traffic, or a combination thereof.

The measurement can be ignored from the UE in the external zone 240 (outside zone 230 interference), such as UE are captured by other neighboring cells, and not on the cell (i.e., the corresponding boundary zone 220). Additionally, the gain control is not required or is not implemented for cells in the Central zone 210, since the intensity of the signal closer to the center of the cell is supposed to be high enough for such cells. In another embodiment, the implementation, the zones include intermediate or boundary zone 220, zone 230 external interference and zone 240 without Central zone 210. In this case, the threshold value is not assigned or is not considered for the Central zone 210, and all cells within a boundary zone 220, which includes the cell closer to the center of the cell, subjected to gain control.

Fig. 3 shows a vertical geographical classification of 300 zones according to the embodiment of the for cell for implementation of adaptive beamforming. Similarly, classification 200 zones, classification 300 assigns zones Central zone 310, the boundary zone 320, the area 330 of interference and external (or other) area 340 for the considered cell. In particular, the boundaries of the zones are set according to pre-defined and fixirovannomu values of the signal levels. Central zone 310 is the Central coverage area of the considered serving cell. The boundary of the Central zone 310 corresponds to the predefined threshold value, the Offset-Max, dB. As described above, the gain control is not applied for this zone.

Area 330 interference is best served by one of the neighboring cells for the analyzed cell. The zone boundary 310 of interference corresponds to the predefined threshold value, the Offset-Min, in dB. If the average level of the pilot/reference signal of the cell of the analyzed cell compared to the maximum signal strength from neighboring cells is in the band, the analyzed cell may cause interference for the best of the neighboring serving cell (associated with the maximum signal level). In this case, the antenna gain decreases for this cell from the serving eNB of the considered cell to reduce interference to neighboring cells.

Boundary area 320 is an area of transmission service in which the UE can be supported by several hundred. Boundary boundary area 320 corresponds to the predefined threshold value is approximately 0 dB for a target signal intensity. In this area, the antenna gain is increased to values of approximately 0 dB for requirements on the target surface.

Fig. 4 and�illustrates a method 400 according to embodiment of the function control SON/AAS, which is used to implement beamforming in SON/AAS 100, for example, to SON-in module 132. Method 400 may use the classification of 200 or 300 zones to determine the requirements for adjusting the gain of the cells in different zones. In step 402, accepted input information, which includes MR-reports the location of the UE and KPI performance. For example, information is received from a plurality of UE 110 in the cells in the zones. MR-reports may include power or the signal intensity and signal quality. The location of the UE may include GPS information, triangulation information, coordinates of longitude and latitude or other types of location information. KPI includes information criteria for the implementation of beamforming, for example, load information on the traffic levels of signal intensity in the UE, the levels of signal intensity of a cell (e.g., cell tower or eNB) and/or other performance data.

In step 404, a given geographical cell (using the settings of the geographical cells). In step 406, the calculated coordinates of the UE (using the accepted location information). This phase also includes display coordinates of the UE in the cell. In step 408, configured zones (using an area pixel configuration�, for example, the boundary threshold values). In step 410 are calculated (for each cell) average measurement, for example, the average code power received signal (RSCP) in the case of a universal mobile communication system (UMTS) from the list of results of measurements taken by MR-reports. The strongest received pilot signal is selected (for each cell) from the average measurements as a pilot signal of the serving node (serving cell) from the average measurements. The second strongest received pilot signal is further selected (for each cell) from the average measurements as a pilot signal of the neighboring node (the best of the neighboring serving cell).

In step 412, the geographic cell may be set for different zones based on the average of the measurements (e.g., average RSCP-values) of cells and threshold zones, as described in more detail below. In step 414 are filtered out of the cell outside the intended boundaries of the coating (for example, cells outside interference, receiving signals from the serving cell). It can be installed by a substantial decrease of signal amplification for such cells.

In step 416 analyzes KPI to determine the need or not to optimize coverage or throughput. KPI specifies the requirements for coverage and bandwidth for honeycomb/gender�users. Optimization of bandwidth can be considered as a special case of the optimization of the coating, which additionally takes into account the density of users/traffic with criteria for coverage. In step 418, to optimize the coating, the algorithm for beamforming is selected on the basis of fixed threshold values for areas governed by the values of deviations to compare the measured signals with threshold values, losses in the transmission path, or a combination thereof. In step 420, in order to optimize throughput, the algorithm for beamforming is selected based on the density of the location of users and/or traffic density in addition to the considerations of the coating. In step 422, the gain when beamforming is generated for each geographic cell, i.e. regulating the gain is calculated for each cell.

In step 424, geographical locations appear in the corner of the cell. In step 426 calculates the pattern antenna (for corner cells). The gain at the beamforming in each corner cell can be calculated by averaging the gain when beamforming between geographic cells within the arc�new cell. The gain at the beamforming between the corner cells are then normalized. In step 428, the pattern antenna is provided as output to the smart antenna controller (or AAS), for example, in the first radio unit 122 through CPRI. The pattern of the antenna is applied on top of the original antenna to form optimized (converging) the radiation pattern of the antenna. The cell tower or the eNB may then apply the optimized antenna pattern for the cell.

Fig. 5 illustrates a method 500 according to the variant of implementation to display geographic cells in different zones. This can be implemented in step 412 of method 400. Method 500 may begin in step 502, for making the following entries for each cell: average RSCP of the serving node (in the case of UMTS) and RSCP of the strongest neighbor (neighboring cells). In other embodiments, other types of measuring signals used on the basis of technology or standard cellular networks. The average measurement for the serving cell from one cell is the average of all measurements taken from one or more UE in the cell. In step 504 are configured with the following boundary threshold: 0 dB between the boundary area and Bormio's� interference; Offset-Min (dB) between the interference area and the other (or outer) area, and Offset-Max (dB) between the Central zone and the edge zone. In step 508, the total number of cells is calculated as N1.

In step 510, method 500 begins a comparison between the average RSCP for the serving cell (RSCP of the serving node) and RSCP of the strongest neighbor (neighbor RSCP) for the considered cell. In step 512 the decision, the method 500 determines the falls or not the difference between the mean RSCP of the serving node and the strongest RSCP neighbor between 0 dB and Offset-Max (dB), i.e., in the borders or outside the boundary of the zone. If the condition in step 512 the decision is true, then method 500 continues to step 514, in which a cell is classified as a marginal area. Then, method 500 proceeds to step 532 (e.g., when all cells treated). If the condition in step 512 is false, then method 500 continues to step 516 the decision.

In step 516 the decision, the method 500 determines that exceeds or not the difference between the mean RSCP of the serving node and the strongest RSCP of the neighbor Offset-Max (dB), i.e., falls or not within the border of the Central zone. If the condition in step 516 the decision is true, then method 500 continues to step 518, in which a cell is classified as a Central area. Then, method 500 continues to step 53 (for example, when all the cells are processed). If the condition in step 516 is false, then method 500 continues to step 520 a decision.

In step 520 the decision, the method 500 determines the falls or not the difference between the mean RSCP of the serving node and the strongest RSCP neighboring node between the Offset-Min (dB) and 0 dB, i.e., falls or not within the borders of the zone of interference. If the condition in step 520 of the decision is true, then method 500 continues to step 522, where the cell area is classified as interference. Then, method 500 proceeds to step 532 (e.g., when all cells treated). If the condition in step 520 is false, then method 500 proceeds to step 524 decision.

In step 524 the decision, the method 500 determines, below or not the difference between the mean RSCP of the serving node and the strongest RSCP of the neighbor Offset-Min (dB), i.e. falls or not in the other or outer zone. If the condition in step 524 the decision is true, then method 500 proceeds to step 526, where the cell is classified as other or outer zone. Then, method 500 proceeds to step 532 (e.g., when all cells treated). If the condition in step 524 is false, then method 500 proceeds to step 528, where the number of remaining cells for analysis is reduced by 1.

In step 530 the decision, the method 500 determines proanalizirovat�s or not all the cells, and the number of remaining cells reached 0. If the condition in step 530 the decision is true, then method 500 proceeds to step 532, where the classification of all cells as different zones is provided as output, and the method 500 may terminate. If the condition in step 530 is false, then method 500 returns to step 510 to continue the classification of the remaining cells.

Fig. 6 illustrates a method 600 according to embodiment of the filtering cells beyond the intended boundaries. This can be implemented in step 414 of the method 400. Method 600 can begin in step 602, the cell is classified as a boundary zone and the zone of interference (e.g., from step 412 or method 500). In step 604, the total number of the input cells calculated as M1. Then, in step 606 the decision, method 600 determines that exceeds or not the measured delay of the signal flow in the forward and backward directions (RTD) RTD threshold-value for the considered cell. The measured RTD is twice the delay spread between the cell tower or the eNB and UE in the cell. One or more RTD-values can be measured between the cell tower or eNB and one or more UE in the cell to calculate the average RTD for the cell. If the condition in step 606 the decision is true, the cell�udaetsa cell outside the intended boundaries, i.e. the cell outside cell coverage, which takes the signal from that cell. Then, method 600 continues to step 612 (e.g., when all cells treated). Otherwise, method 600 continues to step 608, where the number of remaining cells for analysis is reduced by 1.

Then, in step 610 the decision, the method 600 determines the analyzed or not all the cells, and the number of remaining cells reached 0. If this condition is true, the method continues to step 612. Otherwise, method 600 returns to step 604 to continue the analysis of the remaining cells. In step 612, the cells outside the intended boundaries remaining cells or without cells outside the intended boundaries are provided as output.

Fig. 7 illustrates a method 700 according to embodiment of the to adjust the gain of the antenna with the use of the tolerance. This can be implemented in step 422 of method 400. Method 700 can be used where traditional antenna is replaced by a smart antenna, or AAS. Method 700 may begin in step 702, where the average measured signal or MR is obtained as input from traditional and AAS antenna for each of the considered cells in the boundary zone and the zone of interference. The average measurement for a conventional antenna for a cell is obtained before replacement �the traditional AAS antenna or smart antenna. The average measurement for AAS or smart antenna for identical cell is obtained after replacing traditional AAS antenna or smart antenna. In step 704, the total number of cells in the boundary zone and the zone of interference) is calculated as K. In step 706, the difference between the average measurements of traditional and AAS antenna is computed for the considered cell. For example, in the case of UMTS, calculates a difference of the average RSCP for both types of antenna.

In step 708 the decision, the method 700 determines that exceeds or not the difference between the average measurement (or RSCP-Difference) 0 dB not more than a predetermined tolerance value for the deviation, which represents the threshold for the range of tolerance for the difference in measurements between the two types of antenna. If the condition in step 708 the decision is true, the method 700 continues to step 710, which regulates the gain at 0 dB is assigned to the cell. Then, method 700 proceeds to step 722 (e.g., when all cells treated). If the condition in step 708 is false, then method 700 proceeds to step 712 of the decision.

In step 712 the decision, the method 700 determines that exceeds or not RSCP-Difference tolerance value according to the deviation (Deviation-Tolerance). If the condition in step 712 the decision is true, the method 700 continues to step 714, where p�pout regulating the gain is assigned to the cell. The first regulating the gain is calculated in such a way as to satisfy the target value, as further described below. The first regulating amplification (Adj-Gain1) can be a negative value, which effectively lowers the gain of the signal for the cell to maintain the value RSCP-Difference in the tolerance range for the deviation. Then, method 700 proceeds to step 722 (e.g., when all cells treated). If the condition in step 712 is false, then method 700 proceeds to step 716 of the decision.

In step 716 the decision, the method 700 determines, below or not RSCP-Difference of 0 dB. If the condition in step 716 the decision is true, then method 700 proceeds to step 718, in which the second regulating the gain is assigned to the cell. The second regulating the gain is calculated in such a way as to satisfy the target value, as further described below. Second regulating amplification (Adj-Gain2 may be a positive value that increases the gain of the signal for the cell to maintain RSCP-Difference above 0 dB and in the tolerance range for the deviation. Then, method 700 proceeds to step 722 (e.g., when all cells treated). If the condition in step 716 is false, then method 700 proceeds to step 719 of the decision.

In step 719, the number of remaining cells for anal�is reduced by 1 for. In step 720 the decision, the method 700 determines the analyzed or not all the cells, and the number of remaining cells reached 0. If this condition is true, the method continues to step 722.

Otherwise, method 700 returns to step 706 to continue the analysis of the remaining cells. In step 722, the adjustable gain for all cells are provided as output.

Fig. 8 illustrates a diagram 800 according to embodiment of the variable gain control antenna using a predetermined and fixed threshold. Circuit 800 can be achieved using the method 400, or any suitable combination of the above functions or methods. Circuit 800 compares the average measured pilot/reference signal, for example, RSCP-levels are reported in the MR data for each cell 820 in the boundary zone and the zone of interference with fixed target threshold level of the RF signal for signal coverage and interference. The target threshold for the boundary zone and the zone of interference can be discontinuous around the edge of the honeycomb (from the base station or eNB 810), as shown in Fig. 8. The antenna gain at the location of each cell is adjustable so that the signal level in the cell coincides with the target values.

Fig. 9 illustrates a circuit 900 according to embodiment of the for seat�toos antenna gain on the basis of losses in the transmission path. The circuit 900 can be achieved using the method 400, or any suitable combination of the above functions or methods. Diagram 900 compares the average measured pilot/reference signal of each cell 920 in the boundary zone and the zone of interference with the target threshold level of the RF signal for signal coverage and interference with additional regulation based on the distance of cells 920 from the serving eNB 910 or the base station. The target threshold for the boundary zone and the zone of interference can continuously decline around the edge of the honeycomb, as shown in Fig. 9.

The antenna gain at the location of each cell is adjustable so that the signal level in the cell coincides with the target values given the distance of cells from the serving eNB 910. The distance of cells from the serving eNB 910 is used to adjust the target signal levels in each cell using an approximated curve distribution model. Based on empirical data RF-distribution curve distribution model can represent a stable function of the antenna height.

The above-described functions of the algorithms of beamforming, i.e. how 400-700 can be implemented to extend the coverage of the antenna using gain adjustments for geographic cells. The algorithm formirovaniya orientation can also be used for to increase throughput on the basis of the density of the location of users (for example, in step 420). Accordingly, the algorithm is arranged to form the radiation pattern of the antenna by weighting the antenna gain in the direction of cells in the boundary zone with a higher density of active users (i.e. active UE) and weighing antenna gain in the direction of the cells in the zone of interference with higher density of active users. In this regard, gain are proportional to the number of active UE in the corresponding cell.

We can assume that the traffic generated by each active user, on average, is similar. As a result, the required transmit power in order to serve users in the boundary area decreases after increasing the antenna gain for the cells in this zone, and therefore, the resulting increase of the total available power can be used to serve a higher volume of user traffic and increase the throughput of the cell. The required transmit power in order to serve the users in the zone of interference also decreases following a decrease in the antenna gain and interference power for the cells in this zone, and therefore, the resulting increased�e full available power can also be used for to serve a higher volume of user traffic and increase the throughput of a cell.

Functions algorithms for beamforming can also be used to enhance the bandwidth based on the traffic density (for example, in step 420) with/without taking into account the density of the location of users. Accordingly, when the actual information of the total traffic in the cell is available, the algorithm is arranged to form the radiation pattern of the antenna by weighting the antenna gain in the direction of cells in the boundary zone with higher overall traffic and weighing antenna gain in the direction of the cells in the zone of interference with higher overall traffic. To achieve this, the overall traffic can be specified on the basis of available information dispatch traffic from the component of the scheduler. For example, the average total throughput in megabits per second (Mbps) during the observed period of time (e.g. 1 hour) can be specified as a figure for the total traffic in the cell.

Similarly, the beamforming based on the density of the location of users, the beamforming based on the traffic density required transmit power in order to serve users in gr�border area, decreases after increasing the antenna gain for the cells in this zone. Resulting increase the total available power can be used to serve a higher volume of user traffic and increase the throughput of the cell. The required transmit power in order to serve the users in the zone of interference also decreases following a decrease in the antenna gain for the cells in this zone, and the resulting increase of the total available power can also be used to serve a higher volume of user traffic and increase the throughput of a cell.

Fig. 10 illustrates a block diagram embodiment of a device 1000 connections, which may be equivalent to one or more devices (e.g., UE, BS, eNB, etc.), explained above. The communication device 1000 may include a processor 1004, a storage device 1006, a cellular interface 1010, an additional wireless interface 1012 and an additional interface 1014, which can be placed (or not placed), as shown in Fig. 10. The processor 1004 may be any component capable of running calculations and/or other related processing tasks, and a storage device 1006 may be any component, allowing for the preservation programming and/or instructions for processor 1004. The processor 104 may be configured to implement or support schemes, scenarios and strategies ViMP interactions described above. For example, the processor 1004 may be configured to support or implement method 400. Cellular interface 1010 may be any component or collection of components that allows the communications device 1000 to communicate using a cellular signal, and can be used to receive and/or transmit information over cellular data cellular network. Additional wireless interface 1012 may be any component or collection of components that allows the communications device 1000 to communicate through neatby wireless Protocol, for example, the Protocol Wi-Fi or Bluetooth, or management Protocol. Additional interface 1014 may be a component or set of components that allows the communications device 1000 to communicate through an additional Protocol, including wired protocols. In embodiments, an additional interface 1014 may allow the device 1000 to communicate with the transit network.

Although the present invention and its advantages are described in detail, it should be understood that various changes, substitutions and alterations can be performed in this document without derogating from the essence and scope of the invention defined through�Twomey appended claims. In addition, the scope of this application does not have the intention to be limited to specific variants of implementation of the process, machines, products, compositions, means, methods and steps described in the detailed description. Specialists in the art should easily take account of the disclosure of the essence of the present invention, processes, machines, products, compositions, means, methods, or steps, existing at present or later developed, that perform almost the same function or achieve almost the same result as the corresponding variants of implementation, described herein, can be used according to the present invention. Accordingly, the attached claims has the intention to include in its scope such processes, machines, products, compositions, means, methods, or steps.

1. A method of beamforming in a wireless network, the method contains the stages at which:
- divide a geographic area into many geographic cells;
- establish multiple zones for honeycomb on the basis of a set of boundary threshold values;
- accept a variety of signal measurements from a plurality of user devices (UE) by geographic cells;
- classify the geographic cells of the set of zones of RVBR�the rotary comparing the measurement signal with a cutoff threshold of zones;
- calculate a set of gain adjustments for the respective geographic cells, at least in some areas; and
- shaping the pattern of the beam on the basis of the gain adjustments.

2. A method according to claim 1, additionally containing a stage on which to apply the pattern of the beam to the existing beam antenna pattern to form converging the radiation pattern of the antenna, thus converging the radiation pattern of the antenna is optimized to extend the coverage of the signal or communication bandwidth.

3. A method according to claim 1, additionally containing phases in which:
- taking location information of UE;
- calculate the location of the UE using the location information of UE; and
- UE displays the geographical cell.

4. A method according to claim 1, additionally containing phases in which:
- for each of the geographical cells, calculate a set of average measurements of a signal using the received measurements;
- choose the measurement signal of the serving cell, which corresponds to strong medium measurement signal calculated from the average measurements of a signal; and
- choose the measurement signal of the neighboring cell, which corresponds to the second strongest average signal measurement from the calculated average izmereniya.

5. A method according to claim 4, in which areas contain the Central zone, boundary zone, the interference zone and the outer zone, wherein the method further comprises the steps on which:
- for each geographic cell, calculate the difference between the measurement signal of the serving cell and the measurement signal of the neighboring cell;
- classify the cell as a boundary area, if the calculated difference is less than the first boundary threshold for the Central zone and greater than the second boundary threshold for the boundary zone;
- classify the cell as the Central zone, if the calculated difference exceeds the first boundary threshold value for the Central zone;
- classify the cell as a zone of interference, if the calculated difference is less than the second boundary threshold value for boundary zones and more third boundary threshold value for the zone of interference; and
- classify the cell as outside the zone, if the calculated difference is less than the third boundary threshold value for the zone of interference.

6. A method according to claim 5, further comprising stages on which:
- for each of the geographical cells, calculate the first average measurement for traditional antenna and the second average measurement for smart antenna as a replacement for traditional antenna;
- assign the gain to 0 decibels (dB) with�testwuide cell if the difference exceeds 0 dB less than the predefined threshold of tolerance for deviation;
- assign a negative value gain for the corresponding cell, if the difference exceeds a predetermined threshold tolerance for the deviation; and
- assign a positive value gain for the corresponding cell, if the difference is less than 0 dB.

7. A method according to claim 1, additionally containing phases in which:
- take information about key performance (KPI) for the implementation of beamforming, which includes the information of the traffic load, the intensity levels of the signal in a UE, the intensity levels of the signal received in a cell, or combinations of the aforesaid; and
- calculate the gain based on the KPI.

8. A method according to claim 1, additionally containing a stage, on which filter out one or more cells beyond the intended boundaries of the geographic cells.

9. A method according to claim 8, further comprising stages on which:
- for each of the geographical cells, compute delay propagation in forward and reverse directions for the cell.
- identify the cell as the cell outside the intended boundaries, if the calculated delay propagation in the forward and abramsonabramson exceeds the predetermined threshold delay the passage of the forward and reverse directions; and
- significantly reduce the gain of the signal for cells outside the intended boundaries.

10. A method according to claim 1, additionally containing phases in which:
- display a geographic cell in a variety of angular cells; and
- calculate the pattern of the antenna for a corner cell.

11. A network component that provides a beamforming in a wireless network, wherein the network component comprises:
processor; and
- computer-readable storage medium that retains programming for execution by the processor, wherein the programming includes instructions for:
- take multiple measurements of the signal from the plurality of user devices (UE) for a variety of geographic cells for the area that covers the honeycomb;
- to classify the geographic cells of the set of zones for the cell based on the comparison between the measurement signal and a set of pre-defined bounding threshold values for the zones;
- calculate a set of gain adjustments for the respective geographic cells, at least in some areas; and
- to form a picture of the beam on the basis of the gain adjustments.

12. The network component according to claim 11, in which the zones are concentric in relation to the cell and contain granick�th area, which has a boundary coinciding with the boundary of the cell, the Central zone, which has a border within a border cell, the interference area that has a border outside the border of a cell, and an external area outside the boundary of the zone of interference.

13. The network component of claim 12, wherein the gain control for the corresponding geographic cells are calculated for the boundary zone and the zone of interference, and not for the Central zone and the outer zone.

14. The network component according to claim 12, in which the calculated gain adjustments for the respective geographic cell contains the stage at which weigh gain in the direction to geographic cells with higher density UE in the border area and weigh gain in the direction of the geographic cells with higher density UE in the interference area, wherein the gain control are proportional to the number of UE in the appropriate cells to increase throughput.

15. The network component according to claim 12, in which the calculated gain adjustments for the respective geographic cell contains the stage at which weigh gain in the direction to geographic cells with higher density of traffic in the border area and weigh gain in the direction of the geographic cells with higher density of traffic in W�not interference in this case gain are proportional to the load on the traffic in the appropriate cells to increase throughput.

16. The network component of claim 12, wherein the gain control to increase the geographical cells in the boundary zone and reduced to geographical cells in the zone of interference, and wherein the gain control to increase the boundary of the zone and drop zone interference, to reduce the transmission power in a cell and provide most of the available transmit power to expand coverage, increase at least one of bandwidth for users and bandwidth traffic or improve both coverage and throughput.

17. The network component of claim 12, wherein the gain control based on fixed pre-defined threshold boundary values for the boundary zone and the zone of interference, wherein the gain control will coordinate a variety of signal levels in the geographic cells with the first fixed target threshold for the boundary zone and the second fixed target threshold for the zone of interference.

18. The network component of claim 12, wherein the gain control based on predetermined boundary threshold values for the boundary zone and the zone of interference with the adjustment of�Nowe geographical distances of cells in a cell, this gain will agree on many signal levels for geographic cells in the boundary zone and the zone of interference using an approximated curve of the model distribution.

19. A device that supports beamforming in a wireless network, wherein the device contains:
- the first module connected with the second module and is arranged to form a picture of the pattern by calculating a plurality of gain signals to a plurality of geographic cells, configured in a cell,
- gain signal are calculated on the basis of multiple measurements of a signal and a plurality of pre-defined bounding threshold values for a plurality of zones configured for the cell; and
- wherein the second module is arranged to calculate a convergent directional pattern of the antenna on the basis of the drawing pattern.

20. The device according to claim 19 wherein the first module is arranged to communicate with a base station to receive one or more measurement reports (MR), which contain the measurement signal, and to receive location information for a plurality of user devices (UE) in a cell, which is associating the measurement signal with different geographic cells, and wherein the base station performing�ena with the opportunity to apply converging the radiation pattern of the antenna in a cell.

21. A method according to claim 1, wherein zones are defined areas in accordance with the signal levels, and in which a large number of boundary threshold values are pre-defined threshold values of signal levels in decibels (dB).

22. The network component according to claim 11, in which zones are defined areas in accordance with the signal levels, and in which a large number of boundary threshold values are pre-defined threshold values of signal levels in decibels (dB).

23. The device according to claim 19, in which zones are zones with different signal levels.



 

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31 cl, 8 dwg

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61 cl, 7 dwg, 3 tbl

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43 cl, 5 dwg

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95 cl, 10 dwg

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