Can I read 2019 IEEE International Workshop on Signal Processing Systems (SiPS) - Hybrid Preconditioned CG Detection with Sequential Update for Massive MIMO Systems on EtoBox?

2019 IEEE International Workshop on Signal Processing Systems (SiPS) - Hybrid Preconditioned CG Detection with Sequential Update for Massive MIMO Systems by Zeng, Jing; Lin, Jun; Wang, Zhongfeng; Chen, Yun is a scholarly article available to read on EtoBox.

What is 2019 IEEE International Workshop on Signal Processing Systems (SiPS) - Hybrid Preconditioned CG Detection with Sequential Update for Massive MIMO Systems about?

Massive Multi-Input Multi-Output (MIMO) is one of the key technologies for the fifth generation communication systems. Conjugate Gradient (CG) algorithm approximates the minimum mean-square error (MMSE) in an iterative manner, which avoids full matrix inversion. Pre-conditioned CG (PCG) was presented to improve the robustness of CG method. However, for the PCG, a sparse matrix inversion is still required in preprocessing and the performance is only comparable to MMSE. In this paper, a hybrid PCG algorithm (HPCG) with sequential update is proposed with superior performance and low complexity. The preconditioned matrix is replaced by a diagonal matrix by exploring its characteristics, which avoids matrix inversion and incomplete Cholesky factorization. Besides, to improve the bit error performance, a sequential update strategy is employed for estimated signals after PCG detection. For a MIMO system with 128 receive antennas, simulation results show the proposed HPCG algorithm outperforms MMSE by 0.25dB to 1.5dB under different numbers of users. Based on the channel hardening theories, several signal vectors can be transmitted in the same channel condition. When 10 signal vectors are

Author

Zeng, Jing; Lin, Jun; Wang, Zhongfeng; Chen, Yun

Publisher

IEEE

Published

2019

Language

EN