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User scheduling algorithm for mmWave FDMA Massive MU-MIMO system with hybrid beamforming

Published: 21 November 2016 Publication History
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  • Abstract

    In millimeter wave (mmWave) cellular system, the multipath nature of wireless channels and large bandwidth ensure the existence of frequency selective channels. This paper proposes user scheduling for downlink orthogonal frequency division multiple access (OFDMA) massive multi-user multiple input multiple output (MU-MIMO) system with hybrid beamforming (HB) algorithm. The analog beamforming is implemented by employing same phase shifters in the entire frequency band. Therefore the optimization of the wideband analog beamforming should consider the beam direction of multiple OFDMA users scheduled in different frequency resources. For user scheduling, firstly the users with correlated channels constitute an OFDMA user group. For a same OFDMA user group, BS allocates these frequency resources to the user with the best channel gain. Finally, spatial multiplexing users are selected to adequately utilize multiple RF chains. The proposed user scheduling algorithm can adapt to various HB algorithms. Simulation results show that the proposed user scheduling with HB can highly improve the performance of mmWave OFDMA massive MU-MIMO system.

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    • (2022)Hybrid Beamforming in 5G mmWave Networks: A Full-Stack PerspectiveIEEE Transactions on Wireless Communications10.1109/TWC.2021.310357521:2(1288-1303)Online publication date: Feb-2022
    1. User scheduling algorithm for mmWave FDMA Massive MU-MIMO system with hybrid beamforming

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      cover image ACM Other conferences
      ICSPS 2016: Proceedings of the 8th International Conference on Signal Processing Systems
      November 2016
      235 pages
      ISBN:9781450347907
      DOI:10.1145/3015166
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      Publication History

      Published: 21 November 2016

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      Author Tags

      1. Massive MU-MIMO
      2. OFDMA
      3. Scheduling algorithm
      4. mmWave

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      ICSPS 2016 Paper Acceptance Rate 46 of 83 submissions, 55%;
      Overall Acceptance Rate 46 of 83 submissions, 55%

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      • (2022)Hybrid Beamforming in 5G mmWave Networks: A Full-Stack PerspectiveIEEE Transactions on Wireless Communications10.1109/TWC.2021.310357521:2(1288-1303)Online publication date: Feb-2022

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