Method and apparatus for providing an adaptive beamforming antenna for OFDM-based communication systems

Abstract

To provide methods and apparatus for receiving and processing a data stream via a wireless communication network.SOLUTION: A method for performing adaptive beam selection to receive uplink transmissions in a communication system includes the steps of: receiving an orthogonal frequency division multiplexed (OFDM) sub-frame symbol; forming a matrix (A) of cyclic prefix values and a matrix (B) of tail values from the OFDM symbol; forming a summation matrix (S) and difference matrix (D) from the matrix A and the matrix B; determining a matrix (P) and matrix (Q) by multiplying a beamformer preset matrix (W) with the sum matrix S and the difference matrix D; and determining a beam identifier from the P matrix and the Q matrix.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] [Cross-reference of related applications] This application claims priority from U.S. Provisional Application No. 62 / 846,661, filed on 11 May 2019, entitled “Method and Apparatus for Providing an Adaptive Beamforming Antenna for an OFDM-Based Communication System,” which is incorporated herein by reference in its entirety.

[0002] Multiple exemplary embodiments of the present invention relate to the design and operation of communication networks. More specifically, multiple exemplary embodiments of the present invention relate to receiving and processing data streams over wireless communication networks. [Background technology]

[0003] With the rapid growth of mobile and remote data access via high-speed communication networks such as Long-Term Evolution (LTE) or 5G New Radio (NR) cellular services, accurately transporting and decoding data streams is becoming increasingly difficult and challenging. Such systems need to compensate for multipath transmission, which can have significant path loss.

[0004] In 5G NR systems, the importance of beamformers is emphasized because they are one of the most practical ways to compensate for large path losses in the ultra-high frequency range. Generally, beam selection for downlink beamformers is obtained from user equipment (UE) feedback, which is received as a channel quality indicator (CQI) for the candidate beam transmitted by the NR base station (gNB). Based on the idea that link interrelationships are maintained, downlink beam selection is considered to be the optimal beam selection for the uplink beam as well. However, in the presence of one or more interfering signals, link interrelationships may not provide the optimal beam selection for receiving uplink transmissions. [Overview of the Initiative]

[0005] In various exemplary embodiments, methods and apparatus are provided for adaptive beam selection to receive uplink transmissions in a wireless communication network. In one embodiment, the cyclic prefix and tail portions of an OFDM symbol are compared for differences that may occur during transmission. The differences are processed to identify a preset beam pattern used for receiving the uplink transmission. The embodiments utilize the structure of the OFDM symbol and do not require signal features typically used for beamformer selection.

[0006] In one embodiment, a method is provided that includes the steps of forming a matrix of cyclic prefix values ​​(A) and a matrix of tail values ​​(B) from orthogonal frequency division multiplexing (OFDM) symbols, and forming an additive matrix (S) and a difference matrix (D) from matrices A and B. The method also includes the steps of multiplying a beamformer preset matrix (W) by matrices S and D, determining matrices (P) and (Q), and determining a beam identifier from matrices P and Q.

[0007] In one embodiment, an apparatus is provided comprising a first matrix formation circuit that forms a matrix (A) of cyclic prefix values ​​from received orthogonal frequency division multiplexing (OFDM) symbols, and a second matrix formation circuit that forms a matrix (B) of tail values ​​from received orthogonal frequency division multiplexing (OFDM) symbols. The apparatus also comprises an adder circuit that forms an adder matrix (S) from matrices A and B, and a difference circuit that forms a difference matrix (D) from matrices A and B. Furthermore, the apparatus comprises a multiplier circuit that determines matrices (P) and (Q) by multiplying a beamformer preset matrix (W) by matrices S and D, and a determination circuit that determines a beam identifier from matrices P and Q.

[0008] Additional features and benefits of one or more exemplary embodiments of the present invention will become apparent from the detailed description, drawings and claims described below. [Brief explanation of the drawing]

[0009] Exemplary aspects of the present invention will be better understood from the detailed description given below and from the accompanying drawings of various embodiments of the invention. However, the detailed description and accompanying drawings of various embodiments of the invention listed below are for illustrative and understanding purposes only and should not be construed as limiting the invention to specific embodiments.

[0010] [Figure 1] The present invention illustrates a communication network having a transceiver that includes an exemplary embodiment of an adaptive beam selector used to select a beam pattern for receiving uplink communications.

[0011] [Figure 2] Figure 1 shows an exemplary and detailed embodiment of the adaptive beam selector.

[0012] [Figure 3] Figure 2 shows an exemplary and detailed embodiment of a symbol processor for use in an adaptive beam selector.

[0013] [Figure 4] Figure 2 shows an exemplary and detailed embodiment of a symbol processor for use in an adaptive beam selector.

[0014] [Figure 5] This document provides an exemplary method for performing adaptive beam selection to receive uplink transmissions in a communication system.

[0015] [Figure 6] This shows an example of a device that performs adaptive beam selection for receiving uplink transmissions in a communication system. [Modes for carrying out the invention]

[0016] The purpose of the following detailed description is to provide an understanding of one or more embodiments of the present invention. Those skilled in the art will recognize that the following detailed description is merely exemplary and is not intended to limit in any way. It will be easy to suggest other embodiments to such persons skilled in the art who will benefit from the present disclosure and / or description.

[0017] For clarity, not all of the features of a series of implementations described herein are illustrated and described. Of course, in the development of such actual implementations, it will be understood that a number of implementation-specific decisions may be made to achieve the developer's specific objectives, such as complying with application and business-related constraints, and these specific objectives will vary depending on the implementation and the developer. Furthermore, such development efforts can be complex and time-consuming, but will be understood to be routine engineering work for those skilled in the art who will benefit from the (one or more) embodiments of the present disclosure.

[0018] The various embodiments of the present invention shown in the drawings may not be drawn to scale. Rather, the dimensions of the various features may be enlarged or reduced for clarity. In addition, some of the drawings may be simplified for clarity. Accordingly, the drawings may not show all of the components of a given apparatus (e.g., device) or method. The same reference indicators are used throughout the drawings and the following detailed description to refer to the same or similar parts.

[0019] As used herein, the terms "system" or "device" generally refer to any number of components, elements, subsystems, devices, packets, switch elements, packet switches, access switches, routers, networks, modems, base stations, eNBs (eNodeBs), computers and / or communication devices or mechanisms, or combinations of these components. The term "computer" includes a processor, memory, and bus capable of executing instructions. A computer refers to one or a group of computers, personal computers, workstations, mainframes, or combinations of these computers.

[0020] Orthogonal frequency division multiplexing (OFDM) is used in digital wireless broadcast and indoor wireless data networks for multipath mitigation and bandwidth efficiency. In a wireless environment, spatio-temporal diversity can be employed for performance improvement. By applying a blind approach that provides spatio-temporal diversity to an OFDM system, higher bandwidth efficiency can also be achieved. Since wireless applications require a channel equalizer with fast channel adaptation and tracking capabilities, it is more advantageous to utilize the structure of the signal without information on the received signal statistics. In various embodiments, a blind spatio-temporal equalization algorithm using a cyclic prefix in an OFDM system is provided. Instead of using the statistics of the received signal, the signal / structure of an OFDM symbol, i.e., the cyclic prefix, is utilized. Using the least squares method, a spatio-temporal equalizer is applied to the received signal samples in one OFDM symbol frame. Embodiments of the present invention disclose a method and / or apparatus for adaptive beam selection in a wireless communication network.

[0021] Figure 1 shows a communication network 100 having a MIMO transceiver 102 that includes an exemplary embodiment of an adaptive beam selector (ABS) 106 used to select a beam pattern for receiving uplink communications. The MIMO transceiver 102 is coupled to a plurality of antennas 104. During downlink transmission, the MIMO transceiver 102 controls the antennas 104 to transmit information using one or more transmission beam patterns 108. For example, a downlink beam pattern 112 may be formed to transmit downlink information to a user device 110. The user device 110 responds with channel quality information indicating the quality of the received downlink transmission. The transceiver uses the channel quality information to adjust or select an appropriate beam pattern to be used for downlink transmission.

[0022] However, in the case of uplink transmission, beam pattern 112 may not be the optimal choice. For example, using beam pattern 112 may result in receiving interference signals from interference transmission source 114. To receive uplink transmissions from user equipment 110 while rejecting interference signals from source 114, the MIMO transceiver 102 uses or selects a different beam pattern (such as beam pattern 116) that can receive uplink transmissions from user equipment 110 while rejecting or weakening transmissions from interference source 114. Thus, network 100 operates with multiple beam patterns in both uplink and downlink operations. Since the optimal uplink beam pattern may differ from the optimal downlink beam pattern, a method is needed to select the optimal beam pattern for use in uplink transmission.

[0023] In an exemplary embodiment, the MIMO transceiver 102 includes an ABS 106 that selects the optimal beam for receiving uplink transmissions. The ABS 106 determines or selects the optimal beam pattern to be used for receiving uplink transmissions based on an analysis of the received uplink symbols. A more detailed description of the ABS 106 is provided below.

[0024] Figure 2 shows an exemplary and detailed embodiment of a transceiver 102 having an adaptive beam selector 106, as shown in Figure 1. The transceiver 102 includes a beamformer 202, a subframe receiver 204, and an adaptive beam selector 106. In one embodiment, the ABS 106 includes a symbol processor 206 and a beam pattern selector 208. The beamformer 202 applies weights to the signal received from the antenna 104 according to a beam preset weight signal 214 to form a preset beam pattern used to receive uplink transmissions. In one embodiment, the beam pattern selector 208 stores the preset beam 218 and outputs the beam preset weight signal 214.

[0025] During operation, the uplink transmission is received and processed by the beamformer 202, and the resulting signal is input to the subframe receiver 204. In one embodiment, the beam pattern selector 208 outputs a beam preset weight signal 214 to cause the beamformer 202 to implement a preset beam pattern selected from preset beam patterns 218. The beam pattern selector 208 operates to select a preset beam based on the received system selection signal 216. For example, the first beam pattern may be selected using the system selection signal 216. The subframe receiver 204 identifies the subframe symbols and outputs the subframe symbols 210 to other entities in the transceiver 102. The subframe symbols 210 are also input to the ABS 106. The symbol processor 206 receives the subframe symbols 210, processes these symbols according to the beam selection algorithm, and determines the preset beam identifier 212 to be input to the beam pattern selector 208. The beam pattern selector 208 generates a beam preset weight signal 214 using a preset beam identifier 212, causing the beamformer 202 to implement one of the preset beam patterns 218. Therefore, the selection of the uplink beam pattern is based on the received symbols. This process is repeated for the symbols of each subframe, resulting in adaptive beam selection.

[0026] Figure 3 shows an exemplary and detailed embodiment of a symbol processor 206 for use in the adaptive beam selector 106 shown in Figure 2. In one embodiment, the symbol processor 206 comprises a symbol analyzer 302, a memory 304, a symbol receiver 306, and an output interface 308, all coupled and communicating via a bus 310.

[0027] During operation, the symbol receiver 306 receives symbols 210 received in the uplink transmission from the user equipment. For example, the beamformer 202 and subframe receiver 204 process the received uplink transmission to generate the received symbols 210. These symbols are passed to the symbol analyzer 302, which uses memory 304 when analyzing the symbols. In one embodiment, memory 304 stores a beam selection algorithm 318 used by the symbol analyzer to identify the beam pattern used to receive the uplink transmission. Memory 304 also stores a beamformer preset matrix W. After the symbol analyzer 302 determines the preset beam to be selected, the output interface 308 outputs a preset beam identifier 212 to the beam pattern selector 208. A more detailed description of the beam selection algorithm 318 is provided below.

[0028] Figure 3 also shows the received symbol structure 316. The symbol structure has a cyclic prefix section 312 including a tail section 314 and a modulated symbol section 322. The cyclic prefix section 312 is x1(k) to x i (k) includes the value of (k). The modulated symbol part 322 is x i+1 from x H+i (k) is included in the value, and the tail section 314 is x H+1 (k) to x H+i Includes the value of (k).

[0029] The tail section 314 and the cyclic prefix section 312 are identical before transmission. Distortion and / or interference during transmission may result in a difference between the cyclic prefix section 312 and the tail section 314. In various exemplary embodiments, these differences are used to determine appropriate beam selection.

[0030] [Beam selection algorithm] In various embodiments, beam selection algorithms are provided for interference-free beam selection for 5G NR and LTE, utilizing OFDM signal structures and potentially being implemented at both the UE and base stations.

[0031] In an OFDM communication network, the CP refers to prefixing a symbol structure that includes repetition of a tail or an end of a symbol. The receiver generally discards the cyclic prefix samples. The cyclic prefix serves two functions, namely, (1) providing a guard interval to eliminate signal interference from the previous symbol, and (2) the CP serves the function of repeating the end of the symbol. As a result, the linear convolution of a frequency-selective multipath channel can be modeled using a frequency domain such as a discrete Fourier transform (DFT). This approach provides simple frequency domain processing such as channel estimation and equalization.

[0032] In one embodiment, the symbol analyzer 302 executes a beam selection algorithm 318 and performs the following operations, where the receiver has an antenna array of N elements and M candidate beamformer presets, and the signal to be transmitted to the receiver is an OFDM(A) signal with a CP added.

[0033] 1. Receive an OFDM(A) symbol using a plurality of N antennas. The following structural facts of the OFDM(A) symbol and its transmission are utilized by the beam selection algorithm. A. The cyclic prefix and its original part (e.g., the tail of the OFDM(A) symbol) are the same before transmission. B. The symbol experiences very little time dispersion in higher frequency bands. C. The channel response is quasi-static within the symbol time.

[0034] 2. Calculate an addition matrix (S) of the CP matrix (N×L CP ) and the tail matrix (N×L TL ), where L CP = L TL (the length of the cyclic prefix). The addition matrix S has the following characteristics. A. An SNR 3 dB better than that of a normal received signal. B. The SNR can be used as a reference symbol for beamfinding.

[0035] 3. Calculate the difference matrix (D) of the CP matrix and the tail matrix. Matrix D includes noise and unwanted signal portions that are not associated with the desired signal.

[0036] 4. The beamformer preset matrix (W) (e.g., 320) is multiplied by both the S and D matrices to form the P and Q matrices. The beamformer preset matrix W is denoted as (N × M), where M is the number of preset beams. Thus, for each preset beam (m), there is a set of weights (N) applied to the receiving antenna to form a specific preset beam pattern. AP=W H S (M x L) CP ) indicates the reception of the necessary signal. BQ=W H D(M×L CP ) indicates the reception of an unwanted signal.

[0037] 5. Determine the optimal beamformer preset (m) from the M available presets according to the following:

number

[0038] In various exemplary embodiments, adaptive beam selection methods and apparatus offer the following advantages: 1) Determining interference rejection beams without knowing the characteristics of the interference signal (can be implemented at the outer front end of the baseband modem) 2) Candidate beams can be further verified and refined in baseband receivers. 3) It can be applied in conjunction with existing beamforming technologies. 4) Applicable even when the interrelationship of links is not guaranteed (for example, it can be implemented in FDDs). 5) Applicable to both base stations and user equipment, as well as other OFDM-based communication systems with beamformers.

[0039] Therefore, in various exemplary embodiments, the adaptive beam selection algorithm uses the OFDM / SC-FDMA signal structure (cyclic prefix) to determine uplink beam selection, and in the case of OFDMA, the algorithm supports frequency-selective interference rejection beamforming.

[0040] Figure 4 shows an exemplary and detailed embodiment of a symbol processor 400 for use in the adaptive beam selector 106 shown in Figure 2. In one embodiment, the symbol processor 400 comprises a symbol receiving circuit 402, a matrix A forming circuit 404, a matrix B forming circuit 406, an adder circuit 408, a difference circuit 410, a multiplier circuit 412, a memory 414, and a decision circuit 416. In one embodiment, each circuit of the symbol processor 400 includes selected components, which are selected from components including programmable arrays, discrete circuits, memory, registers, logic, control circuits, and / or other suitable components.

[0041] During operation, the symbol receiving circuit 402 receives symbols 210 received in the uplink transmission from the user equipment. For example, the beamformer 202 and subframe receiver 204 process the received uplink transmission to generate the received symbols 210. The symbols are input to the matrix A forming circuit 404, which forms matrix A as described above. The symbols are also input to the matrix B forming circuit 404, which forms matrix B as described above. Matrices A and B are input to the adder circuit 408 and the difference circuit 410, which form the adder matrix S and the difference matrix D, respectively. The multiplier circuit 412 receives the S matrix and the D matrix and multiplies the S matrix and the D matrix by the beamformer preset matrix W418 obtained from memory 414. As described above, the multiplier circuit 412 generates the P matrix and the Q matrix. The determination circuit 416 receives the P matrix and the Q matrix and determines the optical beam pattern to be used, which is output as the preset beam identifier 212. Therefore, the symbol processor 400 processes the received symbols and determines the optimal beam pattern for use in receiving uplink communications.

[0042] Figure 5 shows an exemplary method 500 for operating an adaptive beam selector to select the optimal beam for receiving an uplink transmission. For example, method 500 is suitable for use with the adaptive beam selector 106 shown in Figures 1 and 2.

[0043] In block 502, the received subframe of an OFDM symbol is input to the adaptive beam selector. For example, the subframe of symbol 210 is input to the adaptive beam selector 106 and received by the symbol receiver 306. The symbol receiver 306 passes the symbol to the symbol analyzer 302.

[0044] In block 505, a matrix (A) of symbol cyclic prefix values ​​is formed from the received subframes of symbols. For example, the symbol analyzer 302 executes the beam selection algorithm 318 to form matrix A.

[0045] In block 506, a matrix (B) of symbol tail values ​​is formed from the received subframes of the symbols. These two matrices should be identical, but due to distortion or interference during transmission, they may currently have different values. For example, the symbol analyzer 302 performs the beam selection algorithm 318 to form matrix B.

[0046] In block 508, the addition (S) matrix and the difference (D) matrix are calculated from matrix A and matrix B. For example, the S matrix and the D matrix are formed from matrix A and matrix B as described above. For example, the symbol analyzer 302 executes the beam selection algorithm 318 to form the S matrix and the D matrix.

[0047] As described above, in block 510, the beamformer preset matrix W is multiplied by the addition matrix S and the difference matrix D to form a first matrix P representing the desired signals and a second matrix Q representing the unwanted signals. For example, the symbol analyzer 302 executes the beam selection algorithm 318 to form the P and Q matrices.

[0048] In block 512, the optimal preset beam to be used is determined from the P matrix and the Q matrix. For example, as described above, the symbol analyzer 302 executes the beam selection algorithm 318 to determine the optimal preset beam to be selected.

[0049] Therefore, Method 500 operates to select the optimal beam for receiving the uplink transmission. Note that Method 500 is illustrative and not limiting, and the operation of Method 500 may be rearranged, added, deleted or otherwise modified within the scope of the embodiments.

[0050] Figure 6 shows an exemplary embodiment of an adaptive beam selector 600 that selects the optimal beam for receiving uplink transmissions. For example, ABS600 is suitable for use as ABS106, as described above.

[0051] In one embodiment, the ABS600 includes means 602 for forming a matrix of cyclic prefix values ​​(A) and a matrix of tail values ​​(B) from orthogonal frequency division multiplexing (OFDM) symbols, which in one embodiment includes a symbol analyzer 302 or a matrix A formation circuit 404 and a matrix B formation circuit 406. The ABS600 also includes means 604 for forming an additive matrix (S) and a difference matrix (D) from matrices A and B, which in one embodiment includes a symbol analyzer 302 or an additive circuit 408 and a difference circuit 410. The ABS600 also includes means 606 for determining a required signal matrix (P) and an unwanted signal matrix (Q) by multiplying a beamformer preset matrix (W) by matrices S and D, which in one embodiment includes a symbol analyzer 302 or a multiplier circuit 412. The ABS600 also includes means 608 for determining a selected beam identifier based on the required matrix P and the unwanted matrix Q.

[0052] While specific embodiments of the present invention are shown and described herein, it will be apparent to those skilled in the art that modifications and alterations can be made based on the teachings herein without departing from these (one or more) exemplary embodiments of the present invention and their broader aspects. Accordingly, the appended claims are intended to encompass all such modifications and alterations within their scope, as they fall within the original spirit and scope of these (one or more) exemplary embodiments of the present invention.

Claims

1. The steps include receiving a stream of received signals via uplink transmission from one or more antennas over a wireless network, The steps include: acquiring a beam preset weight signal from an adaptive beam selector based on subframe symbols; A step of generating a resulting signal based on the stream of received signals and the beam preset weight signal, The step of transmitting the resulting signal to a subframe receiver in order to identify the symbol, A method for reducing signal interference during network communication via adaptive beam selection, comprising the following:

2. The method according to claim 1, further comprising the step of transmitting the subframe symbols from the subframe receiver to the symbol processor of the adaptive beam selector for symbol analysis.

3. The method according to claim 1, further comprising the step of generating a preset beam identifier based on the subframe symbol.

4. Steps to transmit a preset beam identifier from the symbol processor to the beam pattern selector of the adaptive beam selector. The method according to claim 2, further comprising:

5. The method according to claim 3, further comprising the step of a beam pattern selector generating a beam preset weight signal based on the preset beam identifier.

6. The method according to claim 1, wherein the step of receiving the stream of received signals further includes the step of receiving orthogonal frequency division multiplexing (OFDM) digital data transmission.

7. The method according to claim 1, further comprising the step of generating a matrix of cyclic prefix values ​​(A) and a matrix of tail values ​​(B) from received orthogonal frequency division multiplexing (OFDM) symbols.

8. The method according to claim 7, further comprising the step of forming an addition matrix (S) and a difference matrix (D) from the matrix (A) and the matrix (B).

9. The method according to claim 7, further comprising the step of multiplying an addition matrix (S) and a difference matrix (D) by a beamformer preset matrix (W) in order to form matrices (P) and (Q).

10. The method according to claim 9, further comprising the step of determining a beam identifier from the matrix (P) and the matrix (Q).

11. A beamformer configured to receive and process a stream of radio signals via uplink transmission based on beam preset weights, A subframe receiver coupled to the beamformer and configured to generate subframe symbols based on the stream of the radio signal, An adaptive beam selector coupled to the beamformer and configured to provide the beam preset weights based on subframe symbols through a comparison between the cyclic prefix portion of the symbol and the tail portion of the symbol, A device that can reduce signal interference during network communication.

12. The apparatus according to claim 11, wherein the adaptive beam selector includes a beam pattern selector configured to generate beam preset weights based on a preset beam identifier.

13. The apparatus according to claim 11, wherein the adaptive beam selector includes a symbol processor capable of generating a preset beam identifier based on the subframe symbol.

14. The apparatus according to claim 13, wherein the symbol processor includes a memory for storing a beam selection algorithm for facilitating symbol analysis.

15. The apparatus according to claim 13, wherein the symbol processor includes a symbol analyzer for identifying a beam pattern based on the subframe symbols.

16. The apparatus according to claim 13, wherein the symbol processor includes a first matrix forming circuit configured to generate a matrix of cyclic prefix values ​​from received orthogonal frequency division multiplexing (OFDM) symbols.

17. The apparatus according to claim 16, wherein the symbol processor includes a second matrix forming circuit configured to generate a matrix of tail values ​​from the received orthogonal frequency division multiplexing (OFDM) symbols.

18. The apparatus according to claim 13, wherein the symbol processor includes an adder circuit configured to provide an addition matrix from a matrix of cyclic prefix values ​​and a matrix of tail values.

19. The apparatus according to claim 13, wherein the symbol processor includes a multiplication circuit configured to provide a beamformer preset matrix based on a matrix of cyclic prefix values ​​and a matrix of tail values.

20. The steps include receiving a stream of received signals via orthogonal frequency division multiplexing (OFDM) uplink transmission from one or more antennas over a wireless network, The process involves obtaining a beam preset weight signal from an adaptive beam selector, which indicates the beam pattern used for uplink transmission based on subframe symbols, and A step of generating a resulting signal by applying the beam preset weighting signal based on the stream of received signals, A step of transmitting the resulting signal to a subframe receiver in order to generate one or more subframe symbols, A method for reducing noise interference during network communication via adaptive beam selection, comprising the following:

21. The steps of receiving a stream of received signals from one or more antennas via a wireless network via orthogonal frequency division multiplexing (OFDM) uplink transmission, The process involves obtaining a beam preset weight signal from an adaptive beam selector, which indicates the beam pattern used for uplink transmission based on subframe symbols, and A step of generating a resulting signal by applying the beam preset weighting signal based on the stream of received signals, A step of generating a preset beam identifier based on the aforementioned result signal, A method for reducing noise interference during network communication via adaptive beam selection, comprising the following:

22. The steps of receiving a stream of received signals from one or more antennas via a wireless network via orthogonal frequency division multiplexing (OFDM) uplink transmission, The steps include generating a matrix of cyclic prefix values ​​and a matrix of tail values ​​from the received orthogonal frequency division multiplexing (OFDM) symbols, The process involves obtaining a beam preset weight signal from an adaptive beam selector, which indicates the beam pattern used for uplink transmission based on subframe symbols, and A step of generating a resulting signal by applying the beam preset weighting signal based on the stream of received signals, A method for reducing noise interference during network communication via adaptive beam selection, comprising the following:

23. The steps of receiving a stream of received signals from one or more antennas via a wireless network via orthogonal frequency division multiplexing (OFDM) uplink transmission, A step of generating an addition matrix based on a matrix of cyclic prefix values ​​and a matrix of tail values, The process involves obtaining a beam preset weight signal from an adaptive beam selector, which indicates the beam pattern used for uplink transmission based on subframe symbols, and A step of generating a resulting signal by applying the beam preset weighting signal based on the stream of received signals, A method for reducing noise interference during network communication via adaptive beam selection, comprising the following:

24. The method according to claim 20, further comprising the step of transmitting the subframe symbols from the subframe receiver to the symbol processor of the adaptive beam selector for symbol analysis.

25. The method according to claim 21, further comprising the step of transmitting the preset beam identifier from the symbol processor to the beam pattern selector of the adaptive beam selector.

26. The method according to claim 21, further comprising the step of a beam pattern selector generating a beam preset weight signal based on the preset beam identifier.

27. The method according to any one of claims 20 to 26, wherein the step of receiving the stream of received signals further includes the step of receiving orthogonal frequency division multiplexing (OFDM) digital data transmission.

28. Means for receiving a stream of received signals via uplink transmission from one or more antennas over a wireless network, A means for acquiring a beam preset weight signal from an adaptive beam selector based on subframe symbols, means for generating a resulting signal based on the stream of received signals and the beam preset weight signal, Means for transmitting the resulting signal to a subframe receiver in order to identify the symbol, A device for minimizing signal interference during network communication via adaptive beam selection, comprising the following features.

29. The apparatus according to claim 28, further comprising means for transmitting the subframe symbols from the subframe receiver to the symbol processor of the adaptive beam selector for symbol analysis.

30. The apparatus according to claim 28, further comprising means for generating a preset beam identifier based on the subframe symbol.

31. The apparatus according to claim 30, further comprising means for transmitting the preset beam identifier from the symbol processor to the beam pattern selector of the adaptive beam selector.

32. The apparatus according to claim 30, further comprising means for a beam pattern selector to generate a beam preset weight signal based on the preset beam identifier.

33. A means for receiving a stream of received signals via orthogonal frequency division multiplexing (OFDM) uplink transmission from one or more antennas via a wireless network, A means for acquiring a beam preset weight signal from an adaptive beam selector, which indicates the beam pattern used for uplink transmission based on subframe symbols, means for generating a resulting signal by applying the beam preset weight signal based on the stream of the received signal, Means for transmitting the resulting signal to a subframe receiver in order to generate one or more subframe symbols, A device for reducing noise interference during network communication via adaptive beam selection, comprising the following features.

34. A means for receiving a stream of received signals via orthogonal frequency division multiplexing (OFDM) uplink transmission from one or more antennas via a wireless network, A means for transmitting subframe symbols from a subframe receiver to a symbol processor of an adaptive beam selector for symbol analysis, Means for acquiring a beam preset weight signal from the adaptive beam selector, based on the subframe symbol, that indicates a beam pattern used for uplink transmission, means for generating a resulting signal by applying the beam preset weight signal based on the stream of the received signal, A device for reducing noise interference during network communication via adaptive beam selection, comprising the following features.

Images