Journal of Xidian University ›› 2020, Vol. 47 ›› Issue (6): 106-112.doi: 10.19665/j.issn1001-2400.2020.06.016

• Special Issue: Information Transmission and Access Technologies for B5G/6G • Previous Articles     Next Articles

Receiver joint optimization algorithm for the coded transceiver spatial modulation

WANG Leijun(),CHEN Rongjun,ZHAO Huimin   

  1. School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China
  • Received:2020-06-29 Online:2020-12-20 Published:2021-01-06

Abstract:

In order to make the trade-off between spectral efficiency and energy efficiency and the trade-off between bit error rate performance and computational complexity, a coded transceive spatial modulation system is designed. In addition, we propose a layered suboptimal joint optimization algorithm, which can reduce the complexity of both the detection and demapping algorithm. The candidate set of antennas and signals is used to reduce computational complexity with the parameters adjustable. We use the BMST channel coding scheme, which can be easily designed according to the spectral efficiency requirement and can predict the lower bound performance. The computational complexity is analyzed and the Monte Carlo simulation is performed, with the results showing that, at the bit error rate (BER) of 10-5, the candidate set L = 6, L' = 4, the system has about 0.5dB performance loss compared with the optimal algorithm. However, the computational complexity can be greatly reduced.

Key words: spatial modulation, multiple input multiple output systems, channel coding, soft in soft out, demapping

CLC Number: 

  • TN911.3