Block-Diagonalization Applied in Multi-User Massive MIMO

被引:0
|
作者
Crasmariu, Victor-Florin [1 ]
Arvinte, Marius-Octavian [1 ]
Enescu, Andrei-Alexandru [1 ]
Ciochina, Silviu [2 ]
机构
[1] NXP Semicond, Digital Networking Wireless, Bucharest, Romania
[2] Univ Politehn Bucuresti, Telecommun Dept, Bucharest, Romania
来源
2016 INTERNATIONAL CONFERENCE ON COMMUNICATIONS (COMM 2016) | 2016年
关键词
Massive MIMO; BD; Precoding;
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
One of the main areas of research for the next generation of mobile communications (5G) is the concept of Massive MIMO, which implies using base stations that employ a considerably larger number of antennas than the classic MIMO systems (tens or even hundreds of antennas). The challenges become increasingly difficult when it comes to dealing with multiple mobile stations (MU-MIMO system) sharing the same time-frequency resource. This paper treats the downlink direction case. In a hypothetical system implementation in which the base station (BS) applies a classical "point-to-point" MIMO precoding method the mobile stations have to make use of a collaborative detection method, where each mobile station is required to share its received signals as well as channel information to all others. In order to avoid the need of a collaborative detection scheme, the BS needs to apply a precoding scheme that is capable of eliminating inter-user interference: each user should receive only its own signals and not the ones intended for the other users. This paper investigates the scalability of the Block Diagonalization MU-MIMO digital precoding scheme in a multi-user Massive MIMO system.
引用
收藏
页码:205 / 208
页数:4
相关论文
共 50 条
  • [21] Joint Optimization of Hybrid Beamforming for Multi-User Massive MIMO Downlink
    Li, Zheda
    Han, Shengqian
    Sangodoyin, Seun
    Wang, Rui
    Molisch, Andreas F.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (06) : 3600 - 3614
  • [22] Nonlinear Equalizer for Multi-User Hybrid mmW Massive MIMO Systems
    Magueta, Roberto
    Castanheira, Daniel
    Silva, Adao
    Dinis, Rui
    Gameiro, Atilio
    2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2017,
  • [23] Capacity-Aware Hybrid beamforming for Multi-User Massive MIMO
    Hefnawi, Mostafa
    Yahya, Esmael
    PROCEEDINGS OF 2018 6TH INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2018, : 206 - 208
  • [24] CSIT ESTIMATION AND FEEDBACK FOR FDD MULTI-USER MASSIVE MIMO SYSTEMS
    Rao, Xiongbin
    Lau, Vincent K. N.
    Kong, Xiangming
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [25] Channel Estimation for Finite Scatterers Massive Multi-User MIMO System
    Vanidevi, M.
    Selvaganesan, N.
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2017, 36 (09) : 3761 - 3777
  • [26] Enhanced CSI Acquisition for FDD Multi-User Massive MIMO Systems
    Zhang, Fangchao
    Sun, Shaohui
    Gao, Qiubin
    Tang, Wanwei
    IEEE ACCESS, 2018, 6 : 23034 - 23042
  • [27] On Performance of multi-user Massive MIMO for 5G and Beyond
    Khan, Muhammad Farhan
    Pesch, Dirk
    2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [28] User Grouping and Hybrid RF/Baseband Precoding for Multi-User Massive MIMO Systems
    Masmoudi, Ahmed
    Le-Ngoc, Tho
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (10) : 11308 - 11322
  • [29] Channel Estimation for Finite Scatterers Massive Multi-User MIMO System
    M. Vanidevi
    N. Selvaganesan
    Circuits, Systems, and Signal Processing, 2017, 36 : 3761 - 3777
  • [30] Hybrid Block Diagonalization for Massive Multiuser MIMO Systems
    Ni, Weiheng
    Dong, Xiaodai
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2016, 64 (01) : 201 - 211