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In this paper, we investigated the user scheduling issue during the downlink signaling in a massive MIMO system and proposed an adaptive user scheduling scheme based on instantaneous channel rate. We evaluated the sum rate, peruser throughput, and bit error performance of the proposed algorithm and compared the performance with traditional scheduling algorithms. The results obtained from the Matlab simulations show that the proposed algorithm performs better than the traditional user scheduling algorithm in terms of sumrate and per-user throughput. It also provides better error performance and establishes fairness among all users. We also studied the performance of the proposed algorithm with several modulation techniques and found that 64QAM provides the best data rate, whereas QPSK provides the best error rate. Finally, we assessed the fairness index of the proposed algorithm using Jain¡¯s fairness index. We found that the proposed algorithm provides a fairness index of 0.99 and ensures fairness among all the users. Thus, the proposed algorithm is a suitable candidate for downlink user scheduling in a massive MIMO system with a large number of antennas. |
IEEE/ICACT20230176 Slide.16
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