Coordinated Hybrid Beamforming for Millimeter Wave Multi-User Massive MIMO Systems

被引:0
|
作者
Song, Nuan [1 ]
Sun, Huan [1 ]
Yang, Tao [1 ]
机构
[1] Nokia Shanghai Bell, Nokia Bell Labs China, Shanghai, Peoples R China
关键词
ANALOG;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Massive Millimeter Wave (mmWave) Multiple Input Multiple Output (MIMO) systems utilize hybrid beamforming techniques to alleviate the implementation complexity of combining a large number of antennas. To solve the optimization problem in the hybrid design supporting multiple users and multiple data streams per user, we first propose a coordinated Radio Frequency (RF) beamforming technique based on the Generalized Low Rank Approximation of Matrices (GLRAM) approach and then develop an efficient Modified GLRAM (MGLRAM) algorithm. The proposed scheme only requires the information of the composite channel, instead of the complete physical channel matrix which is assumed to be known in the existing literature. It takes advantage of the coordination between the base station and users to achieve a maximal array gain and has no dimensionality constraint. The multiplexing gain is then exploited by applying the Block Diagonalization (BD) technique. It is shown that our proposed scheme is a practical and competing solution, which can be easily applied to both the Time Division Duplex (TDD) and Frequency Division Duplex (FDD) systems.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Hybrid Processing for Multi-user Millimeter-Wave Massive MIMO Systems via Matrix Decomposition
    Wu, Wei
    Liu, Danpu
    2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOP (WCNCW), 2019,
  • [22] Data-Driven Hybrid Beamforming for Uplink Multi-User MIMO in Mobile Millimeter-Wave Systems
    Ma, Yuan
    Ren, Silei
    Quan, Zhi
    Feng, Zhiyong
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2022, 21 (11) : 9341 - 9350
  • [23] Hybrid Beamforming for Multi-User Transmission in Millimeter Wave Communications
    Kim, Minhyun
    Lee, Junghoon
    Lee, Junhwan
    2017 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC), 2017, : 1260 - 1262
  • [24] Hybrid Beamforming for Multi-User Millimeter-Wave Networks
    Nasir, Ali Arshad
    Hoang Duong Tuan
    Duong, Trung Q.
    Poor, H. Vincent
    Hanzo, Lajos
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (03) : 2943 - 2956
  • [25] Hybrid Beamforming for Broadband Millimeter Wave Massive MIMO Systems
    Chen, Rui
    Xu, Hui
    Li, Changle
    Zhu, Lina
    Li, Jiandong
    2018 IEEE 87TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2018,
  • [26] Detection for Hybrid Beamforming Millimeter Wave Massive MIMO Systems
    Izadinasab, Kazem
    Shaban, Ahmed Wagdy
    Damen, Oussama
    IEEE COMMUNICATIONS LETTERS, 2021, 25 (04) : 1168 - 1172
  • [27] User Selection and Rank Adaptation for Multi-User Massive MIMO with Hybrid Beamforming
    Miyazaki, Hiroyuki
    Suyama, Satoshi
    Okuyama, Tatsuki
    Mashino, Jun
    Okumura, Yukihiko
    2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,
  • [28] Adaptable Hybrid Beamforming with Subset Optimization Algorithm for Multi-User Massive MIMO Systems
    Huang, Ziyang
    Yang, Longcheng
    Tan, Weiqiang
    Wang, Han
    SENSORS, 2024, 24 (13)
  • [29] Interference Cancellation Aided Hybrid Beamforming for mmWave Multi-User Massive MIMO Systems
    Zhan, Jinlong
    Dong, Xiaodai
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (03) : 2322 - 2336
  • [30] Dual-Iterative Hybrid Beamforming Design for Millimeter-Wave Massive Multi-User MIMO Systems With Sub-Connected Structure
    Zhang, Yang
    Du, Jianhe
    Chen, Yuanzhi
    Li, Xingwang
    Rabie, Khaled M.
    Khkrel, Rupak
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (11) : 13482 - 13496