WO2018115966A1 - Procédé et dispositif pour effectuer un traitement de pré-combinaison sur signaux massivement mimo de liaison montante - Google Patents

Procédé et dispositif pour effectuer un traitement de pré-combinaison sur signaux massivement mimo de liaison montante Download PDF

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Publication number
WO2018115966A1
WO2018115966A1 PCT/IB2017/001694 IB2017001694W WO2018115966A1 WO 2018115966 A1 WO2018115966 A1 WO 2018115966A1 IB 2017001694 W IB2017001694 W IB 2017001694W WO 2018115966 A1 WO2018115966 A1 WO 2018115966A1
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WIPO (PCT)
Prior art keywords
sub
array
signal
merging
matrix corresponding
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PCT/IB2017/001694
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English (en)
Chinese (zh)
Inventor
何大中
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阿尔卡特朗讯
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Publication of WO2018115966A1 publication Critical patent/WO2018115966A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H04B7/0842—Weighted combining
    • H04B7/0848—Joint weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0452—Multi-user MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining

Definitions

  • the present invention relates to the field of mobile communication technologies, and in particular, to a method and apparatus for pre-merging large-scale MIMO signals in a base station. Background technique
  • DSPs digital signal processors
  • ASICs application specific integrated circuits
  • field programmable gate arrays can be used.
  • FPGAs A large amount of signal processing is implemented in (FPGAs).
  • FPGAs frequency synthesizer
  • PA power amplifier
  • PA low noise amplifier
  • LNA low noise amplifiers
  • uplink and downlink conversion circuits uplink and downlink conversion circuits
  • RF front-ends RF front-ends
  • transmit/receive antennas The baseband part of the signal is connected to the RF circuit.
  • the performance of the wireless link can be greatly improved by using multiple antennas at the transmitting and receiving ends. These benefits include increased reliability and high data rates.
  • the physical antenna array and MIMO channel are two-dimensional—such as 2*4 cross-polarized array antennas. Based on this design, horizontal use can only be achieved on the UE side.
  • a method for pre-merging uplink massive MIMO signals in a base station comprises the following steps: a covariance array of uplink channel estimation from a UE The signal is decomposed into a plurality of sub-array signals;
  • a pre-merging apparatus for pre-merging processing an uplink massive MIMO signal in a base station
  • the pre-merging apparatus includes: a decomposing apparatus, configured to: The covariance array signal of the uplink channel estimation is decomposed into a plurality of sub-array signals in a reduced order;
  • a plurality of sub-pre-combining means are respectively used for respectively solving the eigenvalues and eigenvectors of the long-term covariance matrix corresponding to each sub-array signal by a recursive algorithm until recursive to the basic pre-merge device algorithm.
  • a receiver device in a base station comprising one or more pre-merging devices according to the invention.
  • the present invention has the following advantages: Decomposing and grouping the signal array corresponding to the uplink signal, and performing long-term smooth pre-merging processing on each array group respectively, thereby realizing processing of the large array signal, thereby reducing the processing
  • the computational complexity of multi-antenna uplink massive MIMO receivers improves the efficiency of signal processing.
  • FIG. 1 is a flow chart showing a method for pre-merging uplink large-scale MIMO signals in a base station according to the present invention
  • FIG. 2 illustrates a method for uplinking massive MIMO signals in accordance with the present invention.
  • Figure 3a shows a schematic view of an exemplary pre-merging device in accordance with the present invention
  • Figure 3b shows a schematic view of an exemplary basic pre-merging device in accordance with the present invention
  • FIG. 4 is a block diagram showing an exemplary antenna array in accordance with the present invention
  • FIG. 5 is a flowchart showing an exemplary process for solving a channel covariance matrix in accordance with the present invention
  • Figure 6 shows a grouping diagram of an exemplary antenna array in accordance with the present invention
  • Figure 7 shows a schematic diagram of a process for solving a channel covariance matrix in accordance with the present invention.
  • FIG. 1 is a flow chart showing a method for pre-merging uplink massive MIMO signals in a base station in accordance with the present invention.
  • the method according to the invention comprises a step S1 and a step S2.
  • the method according to the invention is implemented by a pre-merging device included in the base station.
  • the base station of the present invention includes, but is not limited to, a macro base station, a micro base station, a pico base station, a home base station, and the like.
  • the user equipment includes electronic devices that can communicate directly or indirectly with the base station in a wireless manner, including but not limited to mobile phones, PDAs, and the like.
  • the base station is included in a MIMO system.
  • step S1 the pre-merge device decomposes the covariance array signal of the uplink channel estimation from the UE into a plurality of sub-array signals.
  • the array signal is a large antenna array signal, such as an array signal of 64x64 or 128x128.
  • the pre-merge device continues to group each group of array signals to obtain more sub-array signals, thereby performing pre-combination operations on the respective sub-array signals in each group of array signals.
  • 128x128 is divided into two sets of 64x64 array signals, and each 64x64 signal is divided into four 16x16 signals, respectively, to pre-merge each 16x16 array signal separately.
  • the pre-merge device can decompose the covariance array signal of the uplink channel estimate multiple times, thereby 264x256 or even higher order antenna array signals.
  • step S2 the pre-merging device separately solves the eigenvalues and eigenvectors of the long-term covariance matrix corresponding to each sub-array signal by a recursive algorithm until the algorithm recursively to the basic pre-merging device can solve.
  • the basic pre-merge device is used to indicate a minimum pre-merging device that processes array signals that cannot be decomposed.
  • FIG. 3a shows a schematic illustration of the structure of each of the basic pre-combining devices of Figure 3a.
  • the array signal input to the pre-merge device is divided into four 16AxC sub-array signals.
  • Each 16AxC sub-array signal is decomposed into 4AxC or 8AxC array signals by sub-pre-merge device.
  • 8 receiver MMSE algorithms 8R x MU
  • the IRC algorithm (4R x IRC) of 4 receivers can be used.
  • the pre-merging device performs pre-merge processing on the array signal in a user specific manner, the method comprising the step S1, the step S201 (not shown) and the step S3 (not shown) ).
  • step S201 the pre-merge device solves the feature values and feature vectors of the long-term channel estimation co-variance matrix corresponding to the specific UE.
  • step S3 the pre-merge device solves the precoding matrix corresponding to the specific UE such that the beamforming gain for the UE is maximized.
  • the method includes the steps
  • step S4 the pre-merging device solves the long-term channel estimation association corresponding to the specific UE.
  • 3 ⁇ 4 represents the receiving end signal
  • 3 ⁇ 4 can be expressed by the following formula:
  • y k P k H k x k + ⁇ j ⁇ k P kj x j ⁇ n k ( 1 )
  • the user k (user k) indicating the signal after the pre-merging process, representing from user k to the base station Upstream channel estimation matrix.
  • the signal power that satisfies the user is the largest, then:
  • the pre-merge device performs pre-merge processing on the array signals in a group specific manner, the method comprising the steps S1, S202 (not shown) and step S5 (Fig. Show).
  • step S202 the pre-merge device solves the feature values and feature vectors of the long-term channel estimation covariance matrix corresponding to a group of UEs.
  • step S5 the pre-merge device solves the precoding matrix corresponding to the group of UEs such that the beamforming gain for the group of UEs is maximized.
  • the method comprises a step S6 (not shown)
  • step S6 the pre-merging device performs a signal scaling operation on the plurality of sub-array signals to perform subsequent equalization and combining processing on the scaled sub-signal matrices.
  • the following description is made by five exemplary algorithms based on the present invention.
  • Example 1 Pre-merging algorithm for a specific user ( user specific )
  • the antenna array is divided into four groups of arrays, the interior of which is highly correlated. specifically:
  • the antenna array is grouped according to the following antenna signals: ⁇ 1,2,...,8, 17,18,...,24 ⁇ , ⁇ 9,10,...,16, 25,26,..., 32 ⁇ ,..., and ⁇ 41,42,...,48,57,58, ...,64 ⁇ ;
  • SRS uplink reference signal
  • ⁇ is the first eigenvector of ⁇
  • the full-length option weight matrix M im is the block diagonal matrix of w ⁇ ., m .
  • the receiver can use the MMSE algorithm (8R x MU) of 8 receivers.
  • the single-user (SU) scenario 4 receivers can be used.
  • the long-term covariance matrix of each group of antenna arrays is obtained based on the following steps:
  • the covariance matrix of each row is a plurality of rows (columns), and the polarization and physical resource blocks (PRBs) are averaged and filtered in the time domain to obtain a covariance matrix in the horizontal direction;
  • the horizontal covariance matrix of the UE is expressed as R ⁇ [(/ ⁇ )*/ ⁇ ], where h is for each row of antennas per polarized antenna and each PRB, from the UE uplink reference signal (SRS) port to 8 TRX 1x8 channel vector of the eNB;
  • the vertical direction covariance matrix of the UE is expressed as ⁇ /! 7 ) 7 ], where 7 is a 1x4 channel vector for each polarized antenna and each PRB for each column of antennas based on SRS measurements;
  • the receiver can use the MMSE algorithm (8R x MU) of 8 receivers.
  • the IRC algorithm (4RxIRC) of 4 receivers can be used.
  • the precoding matrix of the beamforming (BF) weight can be obtained by the following steps:
  • n is the antenna number and N is the number of TRXs connected to the antenna.
  • N is the number of TRXs connected to the antenna.
  • the number of TRXs in the horizontal direction is 8, and the number of TRXs in the vertical direction is 4.
  • Example 3 Maximum SINR algorithm for a specific user (user specific )
  • the antenna array is divided into four groups of arrays, the interior of which is highly correlated. specifically:
  • the antenna array is grouped according to the following antenna signals: ⁇ 1, 2, ..., 8, 17, 18, ..., 24 ⁇ , ⁇ 9,10,...,16, 25,26,...,32 ⁇ ,..., and ⁇ 41,42,...,48,57,58, ...,64 ⁇ ;
  • the long-term weight matrix M of each sub-array, m is a generalized eigenvector corresponding to the largest generalized eigenvalue of the matrix, expressed as:
  • the receiver can use the MMSE algorithm (8R x MU) of 8 receivers.
  • the IRC algorithm (4RxIRC) of 4 receivers can be used.
  • Example 4 Pre-merging algorithm for a specific group ( group specific )
  • the antenna array is divided into eight sub-arrays, and the interior of the sub-array is highly correlated. specifically:
  • the antenna array according to the following antenna signals: ⁇ 1,2,3,4,5,6,7,8 ⁇ , ⁇ 17,18,19,20,21,22,23,24 ⁇ , ⁇ 33,34 , 35, 36, 37, 38, 39, 40 ⁇ ,..., and ⁇ 41,42,43,44,45,46,47,48 ⁇ , ⁇ 57,58,59,60,61,62, 63,64 ⁇ ;
  • the channel covariance matrix of user i and subarray m is R 3 ⁇ 43 ⁇ 4 , M ⁇ 3 ⁇ 4, ], where 3 ⁇ 4, m
  • (8x8) is a channel estimation matrix of user i and sub-array m based on SRS measurements.
  • the long-term weight matrix ⁇ .TM (8x1) of each sub-array is the first eigenvector of (8x8+8x8);
  • the full length option weight matrix is the block diagonal matrix of ⁇ , ⁇ .
  • the process of solving the de-channel covariance matrix in the algorithm is shown in Fig. 7.
  • the receiver can use the MMSE algorithm (8R x MU) of 8 receivers.
  • the IRC algorithm (4RxIRC) of 4 receivers can be used.
  • Example 5 Gradation algorithm for a group specific
  • the long-term covariance matrix of each group of antenna arrays is obtained based on the following steps:
  • the covariance matrix of each row is a plurality of rows (columns), and the polarization and physical resource block (PRB) are filtered by a long-term average and smoothed in the time domain to obtain a horizontal square covariance matrix;
  • the horizontal covariance matrix of the UE is expressed as ⁇ [(/ ⁇ )*/ ⁇ ], where h is 1 ⁇ 8 of 8 TRX from the UE SRS port to the eNB for each polarized antenna and each PRB for each row of antennas Channel vector
  • the vertical covariance matrix of the UE is expressed as ⁇ E[(/3 ⁇ 4W], where 7 is the SRS measurement based on each polarized antenna and each PRB for each column of antennas.
  • the receiver can use the MMSE algorithm (8R x MU) of 8 receivers.
  • the IRC algorithm (4RxIRC) of 4 receivers can be used.
  • the precoding matrix of the beamforming (BF) weight is obtained such that the step of maximizing the beamforming gain for the group of UEs is the same as or similar to the steps in the example 1, and will not be described herein.
  • the power difference after gradualization of each UE and the pre-combined power difference are considered, wherein for 16 antennas in a sub-array,
  • the ideal antenna signal power of the UE can be expressed as ⁇ ⁇ I; multiplied by the pre-merging matrix of each user to obtain the equivalent antenna power of each UE, expressed as ⁇ h_ ⁇ Ideal * PreComb user .
  • the PUSCH receiving end compensates the final RSSI of the 16 weights used, which is expressed as:
  • the signal array corresponding to the uplink signal is decomposed and grouped, and each array group is subjected to long-term smooth pre-merging processing, thereby realizing processing of large-scale array signals and reducing multi-antenna uplink large-scale.
  • the computational complexity of the MIMO receiver improves the efficiency of signal processing.
  • FIG. 2 is a block diagram showing the structure of a pre-merge device for performing pre-merging processing on an uplink large-scale MIMO signal according to the present invention.
  • the decomposition device decomposes the covariance array signal of the uplink channel estimate from the UE into a plurality of sub-array signals.
  • the array signal is a large array signal, such as a 64x64 or 128x128 array signal.
  • the decomposition means continues to group each set of array signals to obtain more sub-array signals, thereby performing pre-merge operations on the respective sub-array signals in each set of array signals.
  • 128x128 is divided into two sets of 64x64 array signals, and each 64x64 signal is divided into four 16x16 signals, respectively, to pre-merge each 16x16 array signal separately.
  • the decomposing means can decompose the covariance array signal of the uplink channel estimation multiple times, thereby 264x256 or even higher order antenna array signals.
  • the sub-pre-merge device respectively solves the eigenvalues and eigenvectors of the long-term covariance matrix corresponding to each sub-array signal by a recursive algorithm, until the algorithm recursively to the basic pre-merging device can solve.
  • the basic pre-merge device is used to indicate a minimum pre-merging device that processes array signals that cannot be decomposed.
  • FIG. 3a shows a schematic block diagram of each of the basic pre-combining devices of Figure 3a.
  • the array signal input to the pre-merge device is divided into four 16AxC sub-array signals.
  • Each 16AxC sub-array signal is decomposed into 4AxC or 8AxC array signals by sub-pre-merge device, and is used by multiple users (Multiusers) at the receiving end.
  • 8 receivers' MMSE algorithm (8R x MU) can be used.
  • 4 receiver IRC algorithms 4R x IRC ) can be used.
  • the pre-merge device pre-merge the array signals in a user specific manner.
  • the sub-pre-merge device solves the feature values and feature vectors of the long-term channel estimation covariance matrix corresponding to a particular UE.
  • the pre-merge device solves the precoding matrix corresponding to the particular UE such that the beamforming gain for the UE is maximized.
  • the pre-merging device finds the feature value and the feature vector corresponding to the long-term covariance matrix of the specific UE, so that the UE obtains the maximum SINR.
  • the pre-merge device performs pre-merge processing on the array signals in a group specific manner.
  • the sub-pre-merge device solves the feature values and eigenvectors of the long-term channel estimation covariance matrix corresponding to a group of UEs.
  • the pre-merge device solves the precoding matrix corresponding to the set of UEs such that the beamforming gain for the set of UEs is maximized.
  • the signal array corresponding to the uplink signal is decomposed and grouped, and the long-term smooth pre-merge processing is performed on each array group, thereby processing the large-scale array signal, thereby reducing the multi-antenna uplink large-scale.
  • the computational complexity of the MIMO receiver improves the efficiency of signal processing.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Radio Transmission System (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne un procédé et un dispositif destinés à effectuer un traitement de pré-combinaison sur signaux massivement MIMO de liaison montante dans une station de base. Le procédé comporte les étapes consistant à: décomposer un signal de réseau de covariance d'une estimation de canal de liaison montante en provenance d'un UE en une pluralité de signaux de sous-réseau; résoudre respectivement une valeur propre et un vecteur propre d'une matrice de covariance d'estimation de canal à long terme correspondant à chaque signal de sous-réseau par l'intermédiaire d'un algorithme récursif, jusqu'à ce que l'algorithme récursif vers un dispositif de pré-combinaison de base puisse être résolu. La présente invention présente les avantages suivants par comparaison à l'état antérieur de la technique: un traitement de signal de réseau à grande échelle est effectué en décomposant et en groupant un signal de réseau correspondant à un signal de liaison montante et en effectuant respectivement un traitement de pré-combinaison régulière à long terme sur chaque groupe de réseau, réduisant ainsi la complexité de calcul d'un récepteur massivement MIMO de liaison montante à antennes multiples, et accroissant le rendement du traitement de signaux.
PCT/IB2017/001694 2016-12-19 2017-12-18 Procédé et dispositif pour effectuer un traitement de pré-combinaison sur signaux massivement mimo de liaison montante WO2018115966A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111294104A (zh) * 2020-02-27 2020-06-16 杭州电子科技大学 一种基于特征值分解的波束赋形优化方法

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114531184B (zh) * 2020-11-23 2023-06-02 上海诺基亚贝尔股份有限公司 用于大规模mimo空间复用的局部迫零的方法和装置

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040087308A1 (en) * 2002-01-29 2004-05-06 Olav Tirkkonen Data transfer method in radio system
US20130215989A1 (en) * 2011-01-27 2013-08-22 Nec Corporation Information processing apparatus and information processing method, and non-transitory computer readable medium storing information processing program

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8194770B2 (en) * 2002-08-27 2012-06-05 Qualcomm Incorporated Coded MIMO systems with selective channel inversion applied per eigenmode
KR100981554B1 (ko) * 2003-11-13 2010-09-10 한국과학기술원 다중 송수신 안테나들을 구비하는 이동통신시스템에서,송신 안테나들을 그룹핑하여 신호를 전송하는 방법
US8638871B2 (en) * 2008-12-22 2014-01-28 Motorola Mobility Llc System and method for combination multiple input, multiple output (MIMO) and beamforming
CN105991171B (zh) * 2015-02-15 2019-05-10 电信科学技术研究院 一种三维信道状态信息确定方法及装置

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040087308A1 (en) * 2002-01-29 2004-05-06 Olav Tirkkonen Data transfer method in radio system
US20130215989A1 (en) * 2011-01-27 2013-08-22 Nec Corporation Information processing apparatus and information processing method, and non-transitory computer readable medium storing information processing program

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111294104A (zh) * 2020-02-27 2020-06-16 杭州电子科技大学 一种基于特征值分解的波束赋形优化方法
CN111294104B (zh) * 2020-02-27 2022-10-21 杭州电子科技大学 一种基于特征值分解的波束赋形优化方法

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