Hybrid Precoding in Millimeter Wave Systems: How Many Phase Shifters Are Needed?

被引:0
|
作者
Yu, Xianghao [1 ]
Zhang, Jun [1 ]
Letaief, Khaled B. [1 ,2 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept ECE, Hong Kong, Hong Kong, Peoples R China
[2] Hamad Bin Khalifa Univ, Doha, Qatar
关键词
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
Hybrid precoding has been recently proposed as a cost-effective transceiver solution for millimeter wave (mm-wave) systems. The analog component in such precoders, which is composed of a phase shifter network, is the key differentiating element in contrast to conventional fully digital precoders. While a large number of phase shifters with unquantized phases are commonly assumed in existing works, in practice the phase shifters should be discretized with a coarse quantization, and their number should be reduced to a minimum due to cost and power consideration. In this paper, we propose a new hybrid precoder implementation using a small number of phase shifters with quantized and fixed phases, i.e., a fixed phase shifter (FPS) implementation, which significantly reduces the cost and hardware complexity. In addition, a dynamic switch network is proposed to enhance the spectral efficiency. Based on the proposed FPS implementation, an effective alternating minimization (AltMin) algorithm is developed with closed-form solutions in each iteration. Simulation results show that the proposed algorithm with the FPS implementation outperforms existing ones. More importantly, it needs much fewer phase shifters than existing hybrid precoder proposals, e.g., similar to 10 fixed phase shifters are sufficient for practically relevant system settings.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Hybrid Precoding in Cooperative Millimeter Wave Networks
    Fang, Chao
    Makki, Behrooz
    Li, Jingya
    Svensson, Tommy
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (08) : 5373 - 5388
  • [42] Adaptive Hybrid Precoding With High Energy Efficiency for Millimeter Wave Communication Systems
    Liu, Fulai
    Bai, Xiaoyu
    Du, Ruiyan
    Shi, Huiyang
    Liu, Huajing
    [J]. IEEE SYSTEMS JOURNAL, 2022, 16 (04): : 5164 - 5175
  • [43] Hybrid Precoding for Multi-Subarray Millimeter-Wave Communication Systems
    Zhang, Jianjun
    Huang, Yongming
    Yu, Tianyuan
    Wang, Jiaheng
    Xiao, Ming
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2018, 7 (03) : 440 - 443
  • [44] Low Complexity Hybrid Sparse Precoding and Combining in Millimeter Wave MIMO Systems
    Rusu, Cristian
    Mendez-Rial, Roi
    Gonzalez-Prelcic, Nuria
    Heath, Robert W., Jr.
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 1340 - 1345
  • [45] Alternating Optimization Based Hybrid Precoding Strategies for Millimeter Wave MIMO Systems
    Qiao, Xu
    Zhang, Yao
    Zhou, Meng
    Yang, Longxiang
    [J]. IEEE ACCESS, 2020, 8 : 113078 - 113089
  • [46] Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems
    Alkhateeb, Ahmed
    Leus, Geert
    Heath, Robert W., Jr.
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (11) : 6481 - 6494
  • [47] Relay Hybrid Precoding Design in Millimeter-Wave Massive MIMO Systems
    Xue, Xuan
    Wang, Yongchao
    Dai, Linglong
    Masouros, Christos
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (08) : 2011 - 2026
  • [48] Hybrid Precoding with Finite-size Codebooks for Millimeter Wave MIMO Systems
    Zhang, Bohan
    Cimini, Leonard J.
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2018,
  • [49] An alternating direction algorithm for hybrid precoding and combining in millimeter wave MIMO systems
    Souto, Nuno
    Silva, Joao
    Pavia, Joao
    Ribeiro, Marco
    [J]. PHYSICAL COMMUNICATION, 2019, 34 : 165 - 173
  • [50] Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems
    Li, Xiaofeng
    Alkhateeb, Ahmed
    [J]. CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2019, : 800 - 805