inis 19(21): e2

Research Article

Transmit Antenna Selection Aided Linear Group Precoding for Massive MIMO Systems

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  • @ARTICLE{10.4108/eai.24-10-2019.160982,
        author={Van  Khoi  Dinh and Minh  Tuan  Le and Vu  Duc  Ngo and Xuan  Nam  Tran and Chi  Hieu  Ta},
        title={Transmit Antenna Selection Aided Linear Group Precoding for Massive MIMO Systems},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={6},
        number={21},
        publisher={EAI},
        journal_a={INIS},
        year={2019},
        month={10},
        keywords={MU-MIMO system, Massive MIMO system, linear precoder, lattice reduction algorithm},
        doi={10.4108/eai.24-10-2019.160982}
    }
    
  • Van Khoi Dinh
    Minh Tuan Le
    Vu Duc Ngo
    Xuan Nam Tran
    Chi Hieu Ta
    Year: 2019
    Transmit Antenna Selection Aided Linear Group Precoding for Massive MIMO Systems
    INIS
    EAI
    DOI: 10.4108/eai.24-10-2019.160982
Van Khoi Dinh1,*, Minh Tuan Le2, Vu Duc Ngo3, Xuan Nam Tran1, Chi Hieu Ta1
  • 1: Le Quy Don Technical University, Vietnam
  • 2: MobiFone R&D Center, MobiFone Corporation, Vietnam
  • 3: Hanoi University of Science and Technology, Vietnam
*Contact email: Vankhoi.tcu@gmail.com

Abstract

In this paper, we investigate the combination of linear group precoding with a transmit antenna group selection (TA-GS) algorithm based on the channel capacity analysis for Massive MIMO systems. Simultaneously, we propose a low complexity linear precoding algorithm that works on the selected antennas. The proposed precoder is developed based on the conventional linear precoders in combination with the element-base lattice reduction shortest longest vector technique having low complexity. Numerical and simulation results show that the system performance significantly improves when the transmit selection technique is applied. Besides, the proposed precoder has remarkably lower computational complexity than its LC-RBD-LR-ZF counterpart. The bit error rate (BER) performance of the proposed precoder can approach that of the LC-RBD-LR-ZF precoder as the number of groups increases, yet at the cost of higher detection complexity.