Paper Info
Title
A Compact Soft Mmse Detection Scheme For Uplink Coded Massive Mimo Systems
Abstract
Joint iterative detection and decoding (JIDD) methods with minimum mean-squared-error parallel interference cancellation (MMSE-PIC) are usually used for signal detection in multi-input multi-output (MIMO) systems. However, the computational complexity caused by computation of Gram matrix and matrix inversion is unbearable for massive MIMO systems. In addition, MMSE-PIC also suffers from high complexity in calculating soft bit information (SBI) and post-equalization signal-to-interference-plus-noise ratio (PE-SINR). In this paper, we propose a complexity reduced soft MMSE-PIC detection scheme by approximating the Gram matrix with a derived diagonal matrix. Besides, we also apply an efficient soft symbol estimation method based on a symbol mapping technique to further reduce the computational complexity. The simulation results demonstrate that the proposed method can achieve approximating performance to the conventional method with linearorder computational complexity.
Year
DOI
Venue
2019
10.1109/ictc46691.2019.8939871
2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC): ICT CONVERGENCE LEADING THE AUTONOMOUS FUTURE
Keywords
Field
DocType
massive, soft MIMO detection, joint iterative detection and decoding, MMSE-PIC, post-equalization SINR, efficient symbol mapping, simple symbol estimation
Detection theory,Matrix (mathematics),Computer science,Single antenna interference cancellation,Algorithm,MIMO,Decoding methods,Gramian matrix,Diagonal matrix,Computational complexity theory
Conference
ISSN
Citations 
PageRank 
2162-1233
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Zhi Zhang100.68
Meixiang Zhang2228.57
Sooyoung Kim322538.24