Data detection based on matrix decomposition for massive MIMO systems in realistic channel scenarios

Massive multiple-input multiple-output (MIMO) is a key technology for modern wireless communication systems. In massive MIMO receivers, data detection is a computationally expensive task. In this paper, we explore the performance and the computational complexity of matrix decomposition based detectors in realistic channel scenarios for different massive MIMO configurations. In addition, data detectors based on decomposition algorithms are compared to the approximate-inversion detection (AID) methods. It is shown that the alternating-direction-method-of-multipliers-based-Infinity-Norm (ADMIN) detection is promising in realistic channel environment and the performance is stable even when the ratio of the base-station (BS) antenna elements to the number of users is small. In addition, this paper studies the performance of several detectors in imperfect channel state information (CSI) and correlated channels. Our work provides valuable insights for massive MIMO systems and very large-scale integration (VLSI) designers to select the appropriate massive MIMO detector based on their specifications. (c) 2022 Elsevier B.V. All rights reserved.

Automated summary

Massive multiple-input multiple-output (MIMO) is a crucial technology in modern wireless communication systems. This paper investigates the performance and computational complexity of matrix decomposition based detectors in realistic channel scenarios for various massive MIMO configurations. The study compares data detectors based on decomposition algorithms with approximate-inversion detection (AID) methods. The results demonstrate the promising performance and stability of the alternating-direction-method-of-multipliers-based-Infinity-Norm (ADMIN) detection, even in environments with a small ratio of base-station (BS) antenna elements to the number of users. Additionally, this research examines the performance of several detectors in imperfect channel state information (CSI) and correlated channels. It provides valuable insights for the selection of appropriate massive MIMO detectors by massive MIMO systems and very large-scale integration (VLSI) designers based on their specifications.