Performance Analysis of Massive Multi-input and Multi-output with Imperfect Channel State Information
Tasher Ali Sheikh, Joyatri Bora, Anwar Hussain · Traitement du signal · 2019
The type and state of the fading channel directly affect the performance of massive multi-input and multi-output (MIMO) system.For example, the small and large fading (SSF and LSF) of the channel have a great impact on the sum-rate of the system.However, the channel state information (CSI) is far from perfect, making it difficult to analyze the sum-rate of massive MIMO systems with uniform user distribution.To solve the problem, this paper proposes three scheduling algorithms, namely, semi-orthogonal user scheduling (SUS), random user scheduling (RUS), and distance-dependent user scheduling (DUS).The three algorithms were adopted to schedule different number of users (8, 10 and 12), based on the maximum signalto-noise ratio (SNR) with changing number of base station antennas, number of active users, etc.The zero forcing (ZF) precoding was employed to improve the sum-rate, and the highly scattering Rayleigh fading channel was considered for both SSF and LSF, in the light of user locations.Under imperfect CSI and additional noise, the DUS achieved higher sum-rate than the other algorithms.The research results shed new light on the use of massive MIMO systems for 5G applications with high sum-rate requirements.