Closed-Form Hybrid Beamforming Solution for Spectral Efficiency Upper Bound Maximization in mmWave MIMO-OFDM Systems

被引:3
|
作者
Ma, Mengyuan [1 ]
Nhan Thanh Nguyen [1 ]
Juntti, Markku [1 ]
机构
[1] Uninves Oulu, Ctr Wireless Commun CWC, POB 4500, FI-90014 Oulu, Finland
来源
2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL) | 2021年
基金
芬兰科学院;
关键词
Hybrid beamforming; millimeter wave; MIMO-OFDM; spectral efficiency; computational efficiency;
D O I
10.1109/VTC2021-FALL52928.2021.9625163
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
Hybrid beamforming is considered a key enabler to realize millimeter wave (mmWave) multiple-input multiple-output (MIMO) communications due to its capability of considerably reducing the number of costly and power-hungry radio frequency chains in the transceiver. However, in mmWave MIMO orthogonal frequency-division multiplexing (MIMO-OFDM) systems, hybrid beamforming design is challenging because the analog precoder and combiner are required to be shared across the whole employed bandwidth. In this paper, we propose closed-form solutions to the problem of designing the analog precoder/combiner in a mmWave MIMO-OFDM system by maximizing the upper bound of the spectral efficiency. The closed-form solutions facilitate the design of analog beamformers while guaranteeing state-of-art performance. Numerical results show that the proposed algorithm attains a slightly improved performance with much lower computational complexity compared to the considered benchmarks.
引用
收藏
页数:5
相关论文
共 31 条
  • [1] Hybrid Beamforming for mmWave MIMO-OFDM System with Beam Squint
    Liu, Bin
    Tan, Weiqiang
    Hu, Han
    Zhu, Hongbo
    2018 IEEE 29TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2018, : 1422 - 1426
  • [2] Hybrid Beamforming in mmWave MIMO-OFDM Systems via Deep Unfolding
    Chen, Kuan-Yuan
    Chang, Hsin-Yuan
    Chang, Ronald Y.
    Chung, Wei-Ho
    2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [3] Deep Unfolded Hybrid Beamforming in Reconfigurable Intelligent Surface Aided mmWave MIMO-OFDM Systems
    Chen, Kuan-Ming
    Chang, Hsin-Yuan
    Chang, Ronald Y.
    Chung, Wei-Ho
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (04) : 1118 - 1122
  • [4] Constrained Tensor Decomposition-Based Hybrid Beamforming for Mmwave Massive MIMO-OFDM Communication Systems
    Zilli, Guilherme
    Zhu, Wei-Ping
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (06) : 5775 - 5788
  • [5] Dynamic Hybrid Beamforming With Low-Resolution PSs for Wideband mmWave MIMO-OFDM Systems
    Li, Hongyu
    Li, Ming
    Liu, Qian
    Swindlehurst, A. Lee
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2020, 38 (09) : 2168 - 2181
  • [6] Iterative hybrid precoder and combiner design for mmWave MIMO-OFDM systems
    Li, Ming
    Liu, Wenfei
    Tian, Xiaowen
    Wang, Zihuan
    Liu, Qian
    WIRELESS NETWORKS, 2019, 25 (08) : 4829 - 4837
  • [7] Iterative hybrid precoder and combiner design for mmWave MIMO-OFDM systems
    Ming Li
    Wenfei Liu
    Xiaowen Tian
    Zihuan Wang
    Qian Liu
    Wireless Networks, 2019, 25 : 4829 - 4837
  • [8] Hybrid Beamforming and Resource Allocation Designs for mmWave Multi-User Massive MIMO-OFDM Systems on Uplink
    Tseng, Hsin-Hsiang
    Chen, Yung-Fang
    Tseng, Shu-Ming
    IEEE ACCESS, 2023, 11 : 133070 - 133085
  • [9] Hybrid Beamformer Design for mmWave Wideband Multi-User MIMO-OFDM Systems
    Kwon, Yongjin
    Chung, Jihoon
    Sung, Youngchul
    2017 IEEE 18TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2017,
  • [10] Hybrid beamforming for downlink multiuser millimetre wave MIMO-OFDM systems
    Zhang, Didi
    Wang, Yafeng
    Li, Xuehua
    Xiang, Wei
    IET COMMUNICATIONS, 2019, 13 (11) : 1557 - 1564