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하향링크 Massive MIMO 시스템에서 최적 오류 성능을 위한 GS 프리코딩의 반복횟수 도출 연구
노재현(Jae-Hyun Ro),이운상(Woon-Sang Lee),박찬엽(Chan-Yeob Park),김창환(Chang-Hwan Kim),송형규(Hyoung-Kyu Song) 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8
This paper proposes an estimation scheme of iteration number of Gauss-Seidel(GS) precoding in downlink massive multiple input multiple output(MIMO) system for optimal error performance. For estimating iteration number, the propose scheme calculates normalized Euclidean distance(NED) between the prior and updated GS precoding symbols using the property of decrease function of the GS precoding. The number of optimal iterations is estimated by comparing the NED with a threshold. The simulation results proves that an accuracy of estimation is very high when the number of transmit antennas is 2.5 times larger than the number of users, and the proposed scheme has optimal error performance.