In this paper, we focus on the design of low complexity antenna selection algorithm of a millimeter-wave (mmWave) multiple-input multiple-output nonorthogonal multiple access (MIMO-NOMA) for space information network (SIN). First, the angle-domain sparse geometric based mmWave channel model is utilized in the mmWave downlink system. By grouping the NOMA users according to the distance and path loss, the system performance is related to the instantaneous channel gain of users. Hence, we propose a continuous maximum antenna selection (CM-AS) algorithm, which can approach the maximum sum-rate of the high complexity exhaustive search algorithm. Based on this CM-AS algorithm, we propose two algorithms to improve the user fairness, including discrete maximum AS (DM-AS) and ratio maximization AS (RM-AS) algorithms. Simulations are conducted to confirm the performance of the proposed algorithms in sum-rate and user fairness, and shown that the DM-AS and RM-AS algorithms are reasonable compromise using in practice based on the sum-rate and fairness.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Millimeter-Wave MIMO-NOMA Antenna Selection Algorithms for Space Information Network


    Contributors:
    Chen, Zeqiong (author) / Jiao, Jian (author) / Li, Qiwen (author) / Feng, Bowen (author) / Wu, Shaohua (author) / Zhang, Qinyu (author)


    Publication date :

    2020-11-01


    Size :

    1104484 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Arrays

    Wang, Bichai / Dai, Linglong / Gao, Xiqi et al. | IEEE | 2017


    Joint Relay-and-Antenna Selection in Relay-Based MIMO-NOMA Networks

    Zhang, Jian / Ge, Jianhua / Ni, Qiang | IEEE | 2018


    IRS-Assisted Millimeter-wave Massive MIMO with Transmit Antenna Selection for IoT Networks

    Elganimi, Taissir Y. / Rabie, Khaled M. / Nauryzbayev, Galymzhan | IEEE | 2023