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    GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO

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    Type
    Article
    Authors
    Ying, Keke cc
    Gao, Zhen cc
    Lyu, Shanxiang cc
    Wu, Yongpeng cc
    Wang, Hua cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2020-01-21
    Online Publication Date
    2020-01-21
    Print Publication Date
    2020
    Submitted Date
    2020-01-02
    Permanent link to this record
    http://hdl.handle.net/10754/662203
    
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    Abstract
    Reconfigurable intelligent surface (RIS) is considered to be an energy-efficient approach to reshape the wireless environment for improved throughput. Its passive feature greatly reduces the energy consumption, which makes RIS a promising technique for enabling the future smart city. Existing beamforming designs for RIS mainly focus on optimizing the spectral efficiency for single carrier systems. Meanwhile, complicated bit/power allocation on different spatial domain subchannels needs to be designed for better bit error rate (BER) performance in conventional singular value decomposition-based beamforming. To avoid this, in this paper, we propose a geometric mean decomposition-based beamforming for RIS-assisted millimeter wave (mmWave) hybrid MIMO systems. In this way, multiple parallel data streams in the spatial domain can be considered to have the same channel gain, so that the better BER can be achieved without sophisticated bit/power allocation. Moreover, by exploiting the common angular-domain sparsity of mmWave massive MIMO channels over different subcarriers, a simultaneous orthogonal matching pursuit algorithm is utilized to obtain the optimal multiple beams from an oversampling 2D-DFT codebook. Besides, by only leveraging the angle of arrival and angle of departure associated with the line of sight (LoS) channels, we further design the phase shifters for RIS by maximizing the array gain for LoS channel. Simulation results show that the proposed scheme can achieve better BER performance than conventional approaches. Our work is an initial attempt to discuss the broadband beamforming for RIS-assisted mmWave massive MIMO with the hybrid architecture.
    Citation
    Ying, K., Gao, Z., Lyu, S., Wu, Y., Wang, H., & Alouini, M.-S. (2020). GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO. IEEE Access, 8, 19530–19539. doi:10.1109/access.2020.2968456
    Sponsors
    This work was supported in part by the Beijing Natural Science Foundation under Grant 4182055 and Grant L182024, in part by the National Natural Science Foundation of China under Grant 61701027, in part by the Young Elite Scientists Sponsorship Program by China Association for Science and Technology (CAST) and Chinese Institute of Electronics (CIE), and in part by the Talent Innovation Project of Beijing Institute of Technology (BIT).*%blankline%*
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Access
    DOI
    10.1109/ACCESS.2020.2968456
    Additional Links
    https://ieeexplore.ieee.org/document/8964330/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ACCESS.2020.2968456
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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