Downlink beamforming design for mobile users in massive MIMO system

被引:3
作者
Hu, Yunbo [1 ,3 ]
Kang, Kai [1 ]
Majhi, Sudhan [4 ]
Qian, Hua [1 ,2 ]
机构
[1] Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai 201210, Peoples R China
[2] ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100490, Peoples R China
[4] Indian Inst Technol Patna, Dept Elect Engn, Patna, India
基金
中国国家自然科学基金;
关键词
Massive MIMO; Beamforming; Beam design; Mobile user; Optimization; SUM-RATE MAXIMIZATION; COMMUNICATION-SYSTEMS; CHANNEL PREDICTION; OPTIMIZATION; BEAMWIDTH; NOMA;
D O I
10.1016/j.dsp.2022.103716
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
With numerous antennas, the massive multiple-input multiple-output (MIMO) system can precisely point to the user equipments (UEs) with narrow beams. Mobile UEs, however, may suffer from the narrow beam nature of the massive MIMO system, since UEs may move out of the beam coverage. Frequent CSI feedback and beam adjustment help to track mobile UEs. However, a significant amount of transmission and computation overhead is incurred. In this paper, we consider a mobility adaption problem in massive MIMO systems with infrequent CSI feedback. We propose a beam design method to use one beam to serve multiple transmissions, thus reducing the overhead of frequency beam adjustment. An optimization problem is formulated that maximizes the overall system sum rate during one beam adjustment, i.e., during the entire time interval between CSI feedback. We assume that each transmission antenna has a peak power constraint, as the power amplifier in each branch limits the transmit power. A fractional programming based algorithm is proposed to solve the problem. To further reduce the computation overhead, a sub-optimal solution is obtained. Simulation results show that the proposed algorithms achieve satisfactory performance with little transmission and computation overhead compared to existing algorithms.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Energy-Efficient Beamforming for Two-Tier Massive MIMO Downlink
    XU Guozhen
    LIU An
    JIANG Wei
    XIANG Haige
    LUO Wu
    中国通信, 2015, 12 (10) : 64 - 75
  • [32] Joint pilot design and beamforming optimization in massive MIMO surveillance systems
    Kai, Caihong
    Zhang, Xiangru
    Hu, Xinyue
    Huang, Wei
    CHINA COMMUNICATIONS, 2022, 19 (04) : 83 - 97
  • [33] Downlink beamforming for cellular mobile communications (GSM system)
    Asté, T
    Forster, P
    Féty, L
    Mayrargue, S
    ANNALS OF TELECOMMUNICATIONS, 1998, 53 (11-12) : 435 - 448
  • [34] Robust Beamforming for BDMA Massive MIMO
    Zhu, Fengchao
    Gao, Feifei
    Lin, Hai
    Jin, Shi
    GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, 2017,
  • [35] Joint Beamforming and Broadcasting in Massive MIMO
    Larsson, Erik G.
    Poor, H. Vincent
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2016, 15 (04) : 3058 - 3070
  • [36] Robust beamforming and spatial precoding for quasi-OSTBC massive MIMO communications
    Lee, Ju-Hong
    Sun, Wei-En
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019, 2019 (1)
  • [37] Combined DL-UL Distributed Beamforming Design for Cell-Free Massive MIMO
    Gouda, Bikshapathi
    Arvola, Antti
    Atzeni, Italo
    Tolli, Antti
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (06) : 1621 - 1625
  • [38] Robust Frequency Selective Precoding for Downlink Massive MIMO in 5G Broadband System
    Xu, Qian
    Sun, Jianyong
    Xu, Zongben
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (12) : 15941 - 15952
  • [39] Beamforming Design in Short-Packet Transmission for URLLC in Cell-Free Massive MIMO System
    Fu, Jiafei
    Zhu, Pengcheng
    Li, Jiamin
    Wang, Yan
    You, Xiaohu
    IEEE SYSTEMS JOURNAL, 2023, 17 (03): : 4715 - 4724
  • [40] Blind Beamforming Method by Terminal Station for Downlink Multi-Beam Massive MIMO
    Ogawa, Shota
    Nishimori, Kentaro
    Taniguchi, Ryotaro
    Hiraguri, Takefumi
    2017 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP 2017), 2017,