An Adaptive Multi-User MIMO Scheme for the Millimeter-Wave Downlink

被引:0
|
作者
Lu, Siyao [1 ]
Hemadeh, Ibrahim A. [1 ]
El-Hajjar, Mohammed [1 ]
Hanzo, Lajos [1 ]
机构
[1] Univ Southampton, Sch Elect & Comp Sci, Southampton, Hants, England
关键词
DESIGN;
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
Space-time shift keying (STSK) constitutes a beneficial multiple-input-multiple-output (MIMO) technique that strikes a compelling trade-off between the multiplexing and diversity gains attained. Its close relative, namely layered multi-group STSK (LMG-STSK) combines the concepts of multi-user MIMO, STSK and beamforming for simultaneously conveying information to multiple users. Generalized frequency division multiplexing (GFDM) has been proposed as a promising multicarrier modulation candidate for dispersive wideband channels since it benefits from its time-frequency domain structure when combined with a powerful ADAM scheme. As a further evolution, we propose a novel GFDM-aided adaptive layered multi-group STSK (LMG-STSK) system for the downlink of millimeter wave communications systems. The proposed system tackles the propagation challenges of the high pathloss at millimeter wave frequencies, where multiple users are clustered into groups served by different antenna layers at the transmitter. We propose an adaptive scheme that can adapt both the number of transmit antennas (TAs) per layer based on the number of users in each user group in order to maximize the number of users served and also the STSK codeword in order to maximise the achievable user throughput.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Hybrid Beamforming Design for Millimeter-Wave Multi-User Massive MIMO Downlink
    Li, Zheda
    Han, Shengqian
    Molisch, Andreas F.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2016,
  • [2] Channel-Statistics-Based Analog Downlink Beamforming for Millimeter-Wave Multi-User Massive MIMO
    Li, Zheda
    Han, Shengqian
    Molisch, Andreas F.
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [3] Performance Improvement for Multi-User Millimeter-Wave Massive MIMO Systems
    Fernando Carrera, Diego
    Vargas-Rosales, Cesar
    Villalpando-Hernandez, Rafaela
    Alejandro Galaviz-Aguilar, Jose
    [J]. IEEE ACCESS, 2020, 8 : 87735 - 87748
  • [4] A Beam Selection Algorithm for Millimeter-Wave Multi-User MIMO Systems
    Pal, Rahul
    Srinivas, K. V.
    Chaitanya, A. Krishna
    [J]. IEEE COMMUNICATIONS LETTERS, 2018, 22 (04) : 852 - 855
  • [5] Interference Alignment Techniques for Multi-User MIMO Systems at Millimeter-Wave
    Ciccotosto, Stefano
    Benvenuto, Nevio
    [J]. 2015 IEEE CONFERENCE ON ELECTRONICS, CIRCUITS, AND SYSTEMS (ICECS), 2015, : 625 - 628
  • [6] Optimizing Channel-Statistics-Based Analog Beamforming for Millimeter-Wave Multi-User Massive MIMO Downlink
    Li, Zheda
    Han, Shengqian
    Molisch, Andreas F.
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2017, 16 (07) : 4288 - 4303
  • [7] Matching Theoretic Beam Selection in Millimeter-Wave Multi-User MIMO Systems
    Hegde, Amod
    Srinivas, K., V
    [J]. IEEE ACCESS, 2019, 7 : 25163 - 25170
  • [8] An Overlapped Subarray Structure in Hybrid Millimeter-Wave Multi-User MIMO System
    Wang, Zhiqiang
    Zhu, Jinle
    Wang, Jun
    Yue, Guangrong
    [J]. 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [9] Adaptive Signal Dimensioning for Multi-User MIMO Downlink
    Li, Bin
    Luo, Yi
    Wang, Xiaodong
    [J]. 2010 IEEE 72ND VEHICULAR TECHNOLOGY CONFERENCE FALL, 2010,
  • [10] HYBRID BEAMFORMING FOR MULTI-USER MASSIVE MIMO SYSTEMS AT MILLIMETER-WAVE NETWORKS
    AlQaisei, Mohammed A.
    Sheta, Abdel-Fattah A.
    Elshafiey, Ibrahim
    [J]. PROCEEDINGS OF 2022 39TH NATIONAL RADIO SCIENCE CONFERENCE (NRSC'2022), 2022, : 181 - 187