Beamforming based on SLR for uplink channel in MU-MIMO system and detection design

被引:0
|
作者
Çiftlikli, C. [1 ]
Al-Obaidi, W. [1 ]
Al-Obaidi, M. [1 ]
机构
[1] Erciyes University, Talas, Kayseri,38280, Turkey
来源
关键词
Fading channels - Maximum likelihood - MIMO systems - Channel state information - Signal interference - Beam forming networks - Quality of service;
D O I
10.1615/TelecomRadEng.v78.i13.60
中图分类号
学科分类号
摘要
Multi-user (MU) techniques are adopted in wireless systems to fully benefit from multiple-input multiple-output (MIMO) antenna array. Beamforming (BF) technique in the MU-MIMO limits the effect of the co-channel interference (CCI) and improves capacity, and quality of service (QoS) of the system. In this study, we propose a new uplink MU-MIMO precoding scheme based on maximizing the signal to leakage ratio (SLR). The SLR based beamforming can exclude the CCI and noise for MU-MIMO mode effectively and can be realized more easily than the traditional ideal SINR based system. Our major assumption for the study is that base station (BS) use ordered successive interference cancellation (OSIC) detection when the channel state information (CSI) of each user is available at the BS and in each user. We propose the maximum-likelihood (ML) method to estimate the received symbols. Promising results from the simulation show that the performance of the proposed scheme over Rayleigh and Rician fading channels is significantly better than the performance of the classical uplink MU-MIMO precoding system. In addition, in our proposed scheme there is no restriction on the number of antennas at the transmitter and receiver comparing with the classical uplink MU-MIMO precoding system. ©2019 by Begell House, Inc.
引用
收藏
页码:1203 / 1211
相关论文
共 50 条
  • [41] Joint Design for Communication Beamforming and Radar Waveform in MIMO Radar and MU-MIMO Communication Co-Existing System
    Zhang, Guanyu
    Zou, Jiaqi
    Sun, Songlin
    2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024, 2024,
  • [42] Zero-Forcing Beamforming Codebook Design for MU-MIMO OFDM Systems
    Bala, Erdem
    Pan, Kyle Jung-Lin
    Olesen, Robert
    Grieco, Donald
    68TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, FALL 2008, 2008, : 1765 - 1769
  • [43] Precoding for MU-MIMO System in Low Scattering Channel Environments
    Chai, Yingqi
    Du, Qinghe
    Ren, Pinyi
    2013 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP 2013), 2013,
  • [44] DECENTRALIZED BEAMFORMING FOR MASSIVE MU-MIMO ON A GPU CLUSTER
    Li, Kaipeng
    Sharan, Rishi
    Chen, Yujun
    Cavallaro, Joseph R.
    Goldstein, Tom
    Studer, Christoph
    2016 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP), 2016, : 590 - 594
  • [45] Advanced Hybrid Beamforming Technique in MU-MIMO Systems
    Shim, Seong-Joon
    Lee, Seulgi
    Lee, Won-Seok
    Ro, Jae-Hyun
    Baik, Jung-In
    Song, Hyoung-Kyu
    APPLIED SCIENCES-BASEL, 2020, 10 (17):
  • [46] Transmit beamforming and detection design for uplink multiuser MIMO systems
    Xi, Songnan
    Zoltowski, Michael D.
    2006 FORTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-5, 2006, : 1593 - +
  • [47] On Hybrid Beamforming of mmWave MU-MIMO System for High-Speed Railways
    Gao, Meilin
    Ai, Bo
    Niu, Yong
    Wu, Wen
    Yang, Peng
    Lyu, Feng
    Shen, Xuemin
    ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2019,
  • [48] Spectral decomposition-based optimization for MMSE receiver design in an uplink MU-MIMO cooperative communication system with imperfect CSI
    Imam, Sarah M.
    El-Mahdy, Ahmed E.
    PHYSICAL COMMUNICATION, 2024, 63
  • [49] Generalized Transceiver Beamforming for DFRC With MIMO Radar and MU-MIMO Communication
    Chen, Li
    Wang, Zhiqin
    Du, Ying
    Chen, Yunfei
    Yu, F. Richard
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2022, 40 (06) : 1795 - 1808
  • [50] Beamforming Using Exact Evaluation of Leakage and Ergodic Capacity of MU-MIMO System
    Hassan, Ahmad Kamal
    Moinuddin, Muhammad
    SENSORS, 2021, 21 (20)