Performance analysis of MMSE pre-coding aided spatial modulation
Li, You, Lei, Xia, Tang, Wanbin, He, Dongxiao, Xiao, Yue, and Xiang, Wei (2018) Performance analysis of MMSE pre-coding aided spatial modulation. IEEE Access, 6. pp. 44835-44845.
PDF (Published Version)
- Published Version
Restricted to Repository staff only |
Abstract
Pre-coding aided spatial modulation (PSM) constitutes a flexible closed-loop multiple-input multiple-output transmission scheme, which attracts substantial research interest recently. In this paper, an upper bound of the average bit error probability (ABEP) for the PSM system based on the minimum mean square error (MMSE) pre-coding is investigated. In addition, a theoretical analysis is given based on the assumption that the numbers of transmit and receive antennas are large but their ratio theta is constrained. Furthermore, the theoretical analysis shows that the ABEP upper bound of the PSM system based on MMSE pre-coding depends only on ratio theta. Simulation results demonstrate that the upper bound is asymptotically tight as the signal-to-noise ratio increases, and the proposed system outperforms its benchmark that is based on zero-forcing pre-coding.
Item ID: | 55759 |
---|---|
Item Type: | Article (Research - C1) |
ISSN: | 2169-3536 |
Keywords: | pre-coding aided spatial modulation (PSM), minimum mean square error (MMSE), multiple input multiple output (MIMO) |
Funders: | National Natural Science Foundation of China (NNSFC), National Key Laboratory of Science and Technology on Communications (NKLSTC) |
Projects and Grants: | NNSFC grant 61471090, NNSFC Project 2017-JCJQ-ZD-041, NKLSTC grant 6142102010702 |
Date Deposited: | 03 Oct 2018 09:26 |
FoR Codes: | 40 ENGINEERING > 4006 Communications engineering > 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave) @ 100% |
SEO Codes: | 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100% |
Downloads: |
Total: 1 |
More Statistics |