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

Abstract

Methods and apparatus for providing an adaptive beamforming antenna for an OFDM-based communication system. In one embodiment, a method includes forming a matrix (A) of cyclic prefix values and a matrix (B) of tail values from orthogonal frequency division multiplexing (OFDM) symbols, and forming a summation matrix (S) and a difference matrix (D) from the matrices A and B. The method further comprises multiplying the beamformer preset matrix (W) with the matrix S and the matrix D to determine a matrix (P) and a matrix (Q), and determining a beam identifier from the matrix P and the matrix Q.

Description

[0001] Description of the case

[0002] This application is a divisional application of a Chinese invention patent application with an application date of May 11, 2020, Chinese national application number 202010392664.2, and invention name “Method and device for providing adaptive beamforming antennas for OFDM-based communication systems”. Technical Field

[0003] The exemplary embodiments of the present invention relate to the design and operation of communication networks. More particularly, the exemplary embodiments of the present invention relate to receiving and processing data streams via wireless communication networks. Background Art

[0004] With the rapid growth trend towards mobile and remote data access over high-speed communication networks such as Long Term Evolution (LTE) or fifth generation (5G) New Radio (NR) cellular services, accurately delivering and decrypting data streams is becoming increasingly challenging and difficult. Such systems must compensate for multipath transmissions that may have large path losses.

[0005] In 5G NR systems, the importance of beamformer is emphasized because it is one of the most practical methods for compensating for large path losses in the ultra-high frequency range. Typically, beam selection for the downlink beamformer is obtained from user equipment (UE) feedback, which is received as a channel quality indicator (CQI) for candidate beams transmitted by the NR base station (gNB). Based on the idea of ​​maintaining link reciprocity, downlink beam selection is also considered to be the best choice for uplink beams. However, in the presence of one or more interfering signals, link reciprocity may not provide the best beam selection for receiving uplink transmissions. Summary of the invention

[0006] In various exemplary embodiments, methods and apparatus are provided for adaptive beam selection for receiving uplink transmissions in a wireless communication network. In one embodiment, a cyclic prefix and tail of an OFDM symbol are compared to determine differences that may have occurred during transmission. The differences are processed to identify a preset beam pattern to be used for receiving uplink transmissions. Embodiments utilize the structure of OFDM symbols and do not require signal characteristics that are typically used for beamformer selection.

[0007] In one embodiment, a method is provided, which includes forming a matrix (A) of cyclic prefix values ​​and a matrix (B) of tail values ​​from orthogonal frequency division multiplexing (OFDM) symbols, and forming a sum matrix (S) and a difference matrix (D) from the matrix A and the matrix B. The method also includes multiplying a beamformer preset matrix (W) with the matrix S and the matrix D to determine a matrix (P) and a matrix (Q), and determining a beam identifier from the matrix P and the matrix Q.

[0008] In one embodiment, an apparatus is provided, comprising a first matrix forming circuit that generates a matrix (A) of cyclic prefix values ​​from received orthogonal frequency division multiplexing (OFDM) symbols; and a second matrix forming circuit that forms a matrix (B) of tail values ​​from received orthogonal frequency division multiplexing (OFDM) symbols. The apparatus also includes a summing circuit that forms a summing matrix (S) from matrix A and matrix B; and a difference circuit that forms a difference matrix (D) from matrix A and matrix B. The apparatus also includes a multiplication circuit that multiplies a beamformer preset matrix (W) with matrix S and matrix D to determine matrix (P) and matrix (Q); and a determination circuit that determines a beam identifier from matrix P and matrix Q.

[0009] Additional features and benefits of the exemplary embodiment(s) of the invention will become apparent based on the detailed description, drawings, and claims set forth below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Based on the detailed description given below and based on the drawings of various embodiments of the invention, exemplary aspects of the invention will be more completely understood, however, they should not be used to limit the invention to the detailed embodiments but are only for explanation and understanding.

[0011] Figure 1 A communication network having a transceiver including an exemplary embodiment of an adaptive beam selector used to select a beam pattern for receiving uplink communications is shown.

[0012] Figure 2 Shown in Figure 1 An exemplary detailed embodiment of an adaptive beam selector is shown in FIG.

[0013] Figure 3 Shown for Figure 2 An exemplary detailed embodiment of a symbol processor used in an adaptive beam selector is shown in FIG.

[0014] Figure 4 Shown for Figure 2 An exemplary detailed embodiment of a symbol processor used in an adaptive beam selector is shown in FIG.

[0015] Figure 5An example methodology for performing adaptive beam selection for receiving uplink transmissions in a communication system is shown.

[0016] Figure 6 An example apparatus for performing adaptive beam selection for receiving uplink transmissions in a communication system is shown. DETAILED DESCRIPTION

[0017] The purpose of the following detailed description is to provide an understanding of one or more embodiments of the present invention. Those of ordinary skill in the art will recognize that the following detailed description is illustrative only and is not intended to be limiting in any way. Other embodiments will readily reveal themselves to such technicians with the benefit of this disclosure and / or description.

[0018] For the sake of clarity, not all routine features of the implementations described herein are shown and described. Of course, in developing any such actual implementation, many implementation-specific decisions may be made in order to achieve the developer's specific goals (such as compliance with application and business-related constraints), which will vary from implementation to implementation and from developer to developer. Moreover, it will be appreciated that such development work may be complex and time consuming, but it will be a routine design effort for a person of ordinary skill in the art who has the benefit of the disclosed embodiment(s).

[0019] The various embodiments of the invention illustrated in the accompanying drawings may not be drawn to scale. Instead, the sizes of various features may be expanded or reduced for clarity. In addition, some drawings may be simplified for clarity. Therefore, the drawings may not depict all components of a given device (e.g., apparatus) or method. The same reference numerals will be used throughout the drawings and the following detailed description to refer to the same or similar parts.

[0020] The term "system" or "device" is generally used to describe any number of components, elements, subsystems, devices, packet switch elements, packet switches, access switches, routers, networks, modems, base stations, eNBs (eNodeBs), computers and / or communication devices or mechanisms, or combinations of components thereof. The term "computer" includes a processor capable of executing instructions, a memory, and a bus, where a computer refers to a computer, a personal computer, a workstation, a mainframe, or a computer or a group of computers in which the computer is a combination.

[0021] Orthogonal frequency division multiplexing (OFDM) is widely used in digital wireless broadcasting and indoor wireless data networks for its multipath suppression and bandwidth efficiency. In a wireless environment, space-time diversity can be used to enhance performance. Higher bandwidth efficiency can also be achieved by applying a blind approach that provides space-time diversity to an OFDM system. Since wireless applications require a channel equalizer with fast channel adaptation and tracking capabilities, it is more advantageous to exploit the signal structure without knowing the statistics of the received signal. In various embodiments, a blind space-time equalization algorithm using a cyclic prefix in an OFDM system is provided. As an alternative to using the statistics of the received signal, the signal structure (i.e., the cyclic prefix) of the OFDM symbol is utilized. Using the least squares method, the space-time equalizer is applied to the signal samples received in an OFDM symbol frame. Embodiments of the present invention disclose methods and / or equipment for adaptive beam selection in a wireless communication network.

[0022] Figure 1 A communication network 100 is shown having a MIMO transceiver 102 including an exemplary embodiment of an adaptive beam selector (ABS) 106 for selecting a beam pattern to receive uplink communications. The MIMO transceiver 102 is coupled to a plurality of antennas 104. During downlink transmissions, 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 equipment 110. The user equipment 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 for downlink transmissions.

[0023] However, for uplink transmissions, beam pattern 112 may not be the best choice. For example, utilizing beam pattern 112 may result in receiving interference signals from interfering transmission source 114. In order to receive uplink transmissions from user equipment 110 while rejecting interference signals from interfering transmission source 114, MIMO transceiver 102 utilizes or selects a different beam pattern (such as beam pattern 116) that can receive uplink transmissions from user equipment 110 while rejecting or attenuating transmissions from interfering transmission source 114. Therefore, network 100 operates with multiple beam patterns for both uplink and downlink operations. Since the best uplink beam pattern may be different from the best downlink beam pattern, a method of selecting the best beam pattern for uplink transmissions is needed.

[0024] In an exemplary embodiment, the MIMO transceiver 102 includes an ABS 106 that selects the best beam for receiving uplink transmissions. The ABS 106 determines or selects the best beam pattern for receiving uplink transmissions based on analysis of received uplink symbols. A more detailed description of the ABS 106 is provided below.

[0025] Figure 2 It shows that Figure 1 1. An exemplary detailed embodiment of the transceiver 102 of the adaptive beam selector 106 is shown in FIG. 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 signals received from the antenna 104 according to a beam preset weight signal 214 to form a preset beam pattern for receiving uplink transmissions. In one embodiment, the beam pattern selector 208 stores a preset beam 218 and outputs a beam preset weight signal 214.

[0026] During operation, uplink transmissions are received and processed by the beamformer 202, and the resulting signals are input to the subframe receiver 204. In one embodiment, the beam pattern selector 208 outputs a beam preset weight signal 214 that causes the beamformer 202 to implement a preset beam pattern selected from the 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 initial beam pattern may be selected using the system selection signal 216. The subframe receiver 204 identifies the symbols in the subframe and outputs the subframe symbols 210 to other entities at the transceiver 102. The subframe symbols 210 are also input to the ABS 106. The symbol processor 206 receives the subframe symbols 210 and processes them according to a beam selection algorithm to determine a preset beam identifier 212 that is input to the beam pattern selector 208. The beam pattern selector 208 uses the preset beam identifier 212 to generate a beam preset weight signal 214 to cause the beamformer 202 to implement one of the preset beam patterns 218. Thus, the uplink beam pattern selection is based on the received symbols. This process is repeated for the symbols in each subframe to achieve adaptive beam selection.

[0027] Figure 3 Shown in Figure 2 An exemplary detailed embodiment of the symbol processor 206 used in the adaptive beam selector 106 is shown in FIG. In one embodiment, the symbol processor 206 includes a symbol analyzer 302, a memory 304, a symbol receiver 306, and an output interface 308, all coupled to a bus 310 for communication.

[0028] During operation, the symbol receiver 206 receives a symbol 210 that has been received in an uplink transmission from a user equipment. For example, the beamformer 202 and the subframe receiver 204 process the received uplink transmission to generate the received symbol 210. The symbol is passed to the symbol analyzer 302, which uses the memory 304 when analyzing the symbol. In one embodiment, the memory 304 stores a beam selection algorithm 318 that is used by the symbol analyzer to identify a beam pattern for receiving an uplink transmission. The 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 the preset beam identifier 212 to the beam pattern selector 208. A more detailed description of the beam selection algorithm 318 is provided below.

[0029] Figure 3 Also shown is a received symbol structure 316. The symbol structure includes a cyclic prefix portion 312 and a modulated symbol portion 322 including a tail portion 314. The cyclic prefix portion 312 includes values ​​x1(k) to x i (k). The modulated symbol portion 322 includes the value x i+1 (k) to x H+i (k), and the tail 314 includes the value x H+1 (k) to x H+i (k).

[0030] Prior to transmission, the tail portion 314 is identical to the cyclic prefix portion 312. Distortion and / or interference during transmission may result in differences between the cyclic prefix portion 312 and the tail portion 314. In various exemplary embodiments, these differences are used to determine appropriate beam selection.

[0031] Beam selection algorithm

[0032] In various embodiments, for interference suppression beam selection, a beam selection algorithm is provided to 5G NR and LTE utilizing OFDM signal structure, and the algorithm can be implemented in both the UE and the base station.

[0033] In OFDM communication networks, CP refers to a repeated prefix of the symbol structure that contains the tail or end of the symbol. The receiver usually discards the cyclic prefix samples. The cyclic prefix has two functions, namely: (1) it provides a guard interval to eliminate signal interference from previous symbols; and (2) the CP repeats the end of the symbol so that the linear convolution of the frequency selective multipath channel can be modeled using the frequency domain (e.g., discrete Fourier transform (DFT)). This approach provides simple frequency domain processing, such as channel estimation and equalization.

[0034] In one embodiment, the symbol analyzer 302 executes the beam selection algorithm 318 to perform the following operations, where the receiver has an antenna array with N elements and M candidate beamformers preset, and the desired signal transmitted to the receiver is a CP-added OFDM (A) signal.

[0035] 1. Using N-multiple antennas to receive OFDM(A) symbols. The following structural facts of OFDM(A) and its transmission are utilized by the beam selection algorithm.

[0036] A. The cyclic prefix and its original part (eg, the tail of an OFDM(A) symbol) are the same before transmission.

[0037] B. Symbols experience very little time dispersion in higher frequency bands.

[0038] C. The channel response within the symbol time is quasi-static.

[0039] 2. Calculate the CP matrix (N x L CP ) and the tail matrix (N x L TL ) of the sum matrix (S), where L CP =L TL (The length of the cyclic prefix). The summation matrix S has the following characteristics.

[0040] A.SNR is 3dB better than the normal received signal.

[0041] B. Can be used as a reference for beam finding.

[0042] 3. Calculate the difference matrix (D) between the CP matrix and the tail matrix. The matrix D contains noise and unwanted signal parts that are not correlated with the desired signal.

[0043] 4. Multiply the beamformer preset matrix (W) (e.g., 320) by both the matrix S and the matrix D to form the matrix P and the matrix Q. The beamformer preset matrix W can be expressed as (N x M), where M is the number of preset beams. Therefore, for each preset beam (m), there is a set of weights (N) that are applied to the receive antenna to form a specific preset beam pattern.

[0044] AP=W H S(M x L CP ), which indicates the reception of the required signal.

[0045] BQ=W H D(M x L CP ), which indicates the reception of unwanted signals.

[0046] 5. Determine the best beamformer preset (m) from the M available presets according to the following equation:

[0047]

[0048] where s l and d l are the lth column vectors of the matrices S and D respectively (e.g., s m,l and d m,l are the elements of the matrix S and matrix D in the mth row and lth column).

[0049] In various exemplary embodiments, the adaptive beam selection method and apparatus provide the following advantages:

[0050] 1) Determine the interference suppression beam without knowing the characteristics of the interference signal (can be implemented in the front end outside the baseband modem (MODEM)).

[0051] 2) Candidate beams can be further verified and refined in the baseband receiver.

[0052] 3) Applicable in combination with existing beamforming technology.

[0053] 4) Applicable even when link reciprocity is not guaranteed.

[0054] 5) Applicable to both base stations and user equipments and other OFDM-based communication systems with beamformers.

[0055] Thus, in various exemplary embodiments, an adaptive beam selection algorithm exploits 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.

[0056] Figure 4 Shown in Figure 2 4. An exemplary detailed embodiment of a symbol processor 400 used in the adaptive beam selector 106 is shown in FIG. In one embodiment, the symbol processor 400 includes a symbol receiving circuit 402, a matrix A forming circuit 404, a matrix B forming circuit 406, a summing circuit 408, a difference circuit 410, a multiplication circuit 412, a memory 414, and a determination circuit 416. In one embodiment, each circuit of the symbol processor 400 includes components selected from components including programmable arrays, discrete circuits, memories, registers, logic, control circuits, and / or other suitable components.

[0057] During operation of the symbol receiving circuit 402, the symbol receiving circuit 402 receives the symbol 210, which has been received in an uplink transmission from a user equipment. For example, the beamformer 202 and the subframe receiver 204 process the received uplink transmission to generate the received symbol 210. As described above, the symbol is input to the matrix A forming circuit 404, which forms the matrix A. As described above, the symbol is also input to the matrix B forming circuit 406, which forms the matrix B. The matrix A and the matrix B are input to the summing circuit 408 and the difference circuit 410, which form the summing matrix S and the difference matrix D, respectively. The multiplication circuit 412 receives the matrix S and the matrix D, and multiplies the beamformer preset matrix W 418 retrieved from the memory 414 with the matrix S and the matrix D. As described above, the multiplication circuit 412 generates the matrix P and the matrix Q. The determination circuit 416 receives the matrix P and the matrix Q and determines the optimal beam pattern to be used, which is output as the preset beam identifier 212. Thus, the symbol processor 400 processes the received symbols to determine the optimal beam pattern for use when receiving uplink communications.

[0058] Figure 5 An exemplary method 500 for operating an adaptive beam selector to select an optimal beam for receiving an uplink transmission is shown. For example, the method 500 is suitable for use with Figure 1 to Figure 2 The adaptive beam selector 106 shown in FIG.

[0059] At block 502, the received OFDM subframe symbol is input to the adaptive beam selector. For example, the subframe symbol 210 is input to the adaptive beam selector 106 and is received by the symbol receiver 306, which passes the symbol to the symbol analyzer 302.

[0060] At block 505, a matrix (A) of symbol cyclic prefix values ​​is formed from the received subframe symbols. For example, the symbol analyzer 302 executes the beam selection algorithm 318 to form the matrix A.

[0061] At block 506, a matrix (B) of symbol tail values ​​is formed from the received subframe symbols. The two matrices should be identical, but due to distortion or interference during transmission, the two matrices may now have different values. For example, the symbol analyzer 302 executes the beam selection algorithm 318 to form the matrix B.

[0062] At block 508, a sum matrix (S) and a difference matrix (D) are calculated from matrix A and matrix B. For example, matrix S and matrix D are formed from matrix A and matrix B as described above. For example, symbol analyzer 302 executes beam selection algorithm 318 to form matrix S and matrix D.

[0063] At block 510, the beamformer preset matrix W is multiplied with the sum matrix S and the difference matrix D to form a first matrix P representing the desired signal and a second matrix Q representing the undesired signal, as described above.

[0064] At block 512, the best preset beam to be used is determined from the matrix P and the matrix Q. For example, as described above, the symbol analyzer 302 executes the beam selection algorithm 318 to determine the best preset beam to be selected.

[0065] Thus, method 500 operates to select the best beam for receiving uplink transmissions.It should be noted that method 500 is illustrative rather than limiting, and that operations of method 500 may be rearranged, added, deleted, or otherwise modified within the scope of the embodiments.

[0066] Figure 6 An exemplary embodiment of an adaptive beam selector 600 is shown that selects the best beam to receive an uplink transmission. For example, ABS 600 is suitable for use as ABS 106 as described above.

[0067] In one embodiment, the ABS 600 includes means 602 for forming a matrix (A) of cyclic prefix values ​​and a matrix (B) of tail values ​​from orthogonal frequency division multiplexing (OFDM) symbols, and in one embodiment includes the symbol analyzer 302 or the matrix A forming circuit 404 and the matrix B forming circuit 406. The ABS 600 also includes means 604 for forming a sum matrix (S) and a difference matrix (D) from the matrix A and the matrix B, and in one embodiment includes the symbol analyzer 302 or the sum circuit 408 and the difference circuit 410. The ABS 600 also includes means 606 for multiplying a beamformer preset matrix (W) with the matrix S and the matrix D to determine a desired signal matrix (P) and an undesired signal matrix (Q), and in one embodiment includes the symbol analyzer 302 or the multiplication circuit 412. The ABS 600 further comprises means 608 for determining a selected beam identifier based on the required matrix P and the unrequired matrix Q.

[0068] Although specific embodiments of the present invention have been shown and described, it will be clear to those skilled in the art that, based on the teachings herein, changes and modifications may be made without departing from the exemplary embodiment(s) of the present invention and its broader aspects. Therefore, the appended claims are intended to cover within their scope all such changes and modifications within the true spirit and scope of the exemplary embodiment(s) of the present invention.

Claims

1. A method for reducing signal interference by adaptive beam selection during network communications, comprising: receiving, via an uplink transmission over a wireless network, an incoming signal stream from one or more antennas; In response to the subframe symbol, obtaining a beam preset weight signal from an adaptive beam selector; generating a result signal in response to the incoming signal stream and the beam preset weight signal; as well as The resulting signal is forwarded to the subframe receiver for identification.

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

3. The method according to claim 1, further comprising: A preset beam identifier is generated according to the subframe symbol.

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

5. The method according to claim 3, further comprising: The beam preset weight signal is generated by the beam pattern selector in response to the preset beam identifier.

6. The method of claim 1, wherein receiving an incoming signal stream further comprises receiving an Orthogonal Frequency Division Multiplexing (OFDM) digital data transmission.

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

8. The method of claim 7, further comprising forming a sum matrix S and a difference matrix D from the matrix A and the matrix B.

9. The method of claim 7, further comprising multiplying a beamformer preset matrix W with the sum matrix S and the difference matrix D to determine a matrix P and a matrix Q.

10. The method of claim 7, further comprising determining a beam identifier from the matrix P and the matrix Q.

11. An apparatus capable of reducing cross-signal interference during network communication, comprising: a beamformer configured to receive and process a wireless signal stream via an uplink transmission in response to beam preset weights; a subframe receiver coupled to the beamformer and configured to generate subframe symbols based on the wireless signal stream; as well as An adaptive beam selector is coupled to the beamformer and configured to provide the beam preset weight based on a subframe symbol via a comparison between a cyclic prefix portion of the symbol and a tail portion of the symbol. 12 . The apparatus of claim 11 , wherein the adaptive beam selector comprises a beam pattern selector configured to generate the beam preset weight in response to a preset beam identifier.

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

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

15. The apparatus of claim 13, wherein the symbol processor comprises a symbol analyzer to identify a beam pattern in response to the subframe symbol.

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

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

18. The apparatus of claim 13, wherein the symbol processor comprises a summation circuit configured to facilitate providing a summation matrix from a matrix of cyclic prefix values ​​and a matrix of tail values.

19. The apparatus of claim 13, wherein the symbol processor comprises a multiplication circuit configured to provide a beamformer preset matrix in response to a matrix of cyclic prefix values ​​and a matrix of tail values.

20. A method for reducing noise interference via adaptive beam selection during network communications, comprising: receiving, via an uplink transmission over a wireless network, an incoming signal stream formatted in orthogonal frequency division multiplexing (OFDM) from one or more antennas; Obtaining a beam preset weight signal from an adaptive beam selector, wherein the beam preset weight signal indicates a beam pattern based on a subframe symbol; and A result signal is generated in response to the incoming signal stream and the beam preset weight signal.

21. The method of claim 20, further comprising forwarding the resulting signal to a subframe receiver to generate one or more subframe symbols.

22. The method of claim 21, further comprising forwarding the subframe symbols from the subframe receiver to a symbol processor of the adaptive beam selector for symbol analysis.

23. The method of claim 20, further comprising generating a preset beam identifier based on the result signal.

24. The method of claim 23, further comprising forwarding the preset beam identifier from a symbol processor to a beam pattern selector of the adaptive beam selector.

25. The method of claim 23, further comprising: The beam preset weight signal is generated by the beam pattern selector in response to the preset beam identifier.

26. The method of claim 20, wherein receiving an incoming signal stream further comprises receiving an orthogonal frequency division multiplexing (OFDM) digital data transmission.

27. The method of claim 20, further comprising generating a matrix of cyclic prefix values ​​and a matrix of tail values ​​from received orthogonal frequency division multiplexing (OFDM) symbols.

28. The method of claim 20, further comprising generating a summation matrix based on the matrix of cyclic prefix values ​​and the matrix of tail values.

29. An apparatus for minimizing signal interference via adaptive beam selection during network communications, comprising: a beamformer capable of receiving an incoming signal stream from one or more antennas via an uplink transmission over a wireless network; as well as an adaptive beam selector, coupled to the beamformer and configured to generate a beam preset weight signal according to a subframe symbol; The beamformer is capable of generating a result signal in response to the incoming signal stream and the beam preset weight signal, and forwarding the result signal to a subframe receiver to identify a symbol.

30. The apparatus of claim 29, wherein the subframe receiver is configured to forward the subframe symbols to a symbol processor of the adaptive beam selector for symbol analysis.

31. The apparatus of claim 29, wherein the adaptive beam selector comprises a symbol processor configured to generate a preset beam identifier according to the subframe symbol.

32. The apparatus of claim 31, wherein the symbol processor is capable of forwarding the preset beam identifier to a beam pattern selector of the adaptive beam selector.

33. The apparatus of claim 31, wherein the adaptive beam selector comprises a beam pattern selector configured to generate the beam preset weight signal in response to the preset beam identifier.

34. An apparatus for reducing noise interference via adaptive beam selection during network communications, comprising: a beamformer that receives an incoming signal stream formatted using orthogonal frequency division multiplexing (OFDM) from one or more antennas via an uplink transmission over a wireless network; an adaptive beam selector coupled to the beamformer and configured to generate a beam preset weight signal indicating a beam pattern based on a subframe symbol; as well as The beamformer is capable of providing a result signal in response to the incoming signal stream and the beam preset weight signal.

35. The apparatus of claim 34, further comprising a subframe receiver coupled to the beamformer and configured to generate one or more subframe symbols in response to the resultant signal.

36. The apparatus of claim 34, further comprising a subframe receiver coupled to the beamformer and configured to forward subframe symbols to a symbol processor of the adaptive beam selector for symbol analysis.

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