Abstract
In the multiuser millimeter wave (mmWave) massive multi-input multi-output (MIMO) system, a key factor causing the system sum-rate change is its interference plus noise. Based on this, on the premise that both the base station (BS) and the user side adopt the hybrid beamforming architecture and the downlink channel is the ideal channel, an improved low complexity hybrid beamforming grouping sum-rate maximization algorithm (HBG-SRM) is proposed, which aims to optimize the sum-rate in multiuser scenarios. The algorithm first predefines a relevant threshold value, which is used to group multiusers, then uses the maximum likelihood (ML) criterion to identify the optimal beam and estimate its beamforming gain within each group. Finally, the user compares all the candidate optimal beams gain within the divided group to confirm this the optimal beam. The simulation consequences also verify the superiority of the proposed algorithm's sum-rate over other algorithms.
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