Error Performance of Sparse Code Multiple Access Networks with Joint ML Detection
Authors:
- Jinchen BaoJBJinchen Bao
- Zheng MaZMZheng Ma
- Ming XiaoMXMing Xiao
- Zhongliang ZhuZZZhongliang Zhu
- 1 May 2016
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Abstract
This paper investigates error performance of sparse code multiple access (SCMA) networks with multiple access channels (MAC) and broadcast channels (BC).We give the closed-form expression for the pairwise error probability (PEP) of joint maximum likelihood (ML) detection for multiuser signals over additive white Gaussian noise (AWGN) and Rayleigh fading channels with an arbitrary number of users and multidimensional codebooks. An upper bound for the average symbol error rate (SER) is calculated. The bound is tight in both AWGN channel and Rayleigh fading channels for high SNR regions. The analytical bounds are compared with simulations, and the results confirm the effectiveness of the analysis for both AWGN and Rayleigh fading channels.Keywords
This publication has 7 references indexed in Scilit:
- SCMA Codebook Design2014
- Sparse code multiple access2013
- Exploiting Quantized Channel Norm Feedback Through Conditional Statistics in Arbitrarily Correlated MIMO SystemsIEEE Transactions on Signal Processing, 2009
- Novel Low-Density Signature for Synchronous CDMA Systems Over AWGN ChannelIEEE Transactions on Signal Processing, 2008
- Fundamentals of Wireless Communication2005
- Performance analysis of maximum likelihood detection in a MIMO antenna systemIEEE Transactions on Communications, 2002
- Performance enhancement through joint detection of cochannel signals using diversity arraysIEEE Transactions on Communications, 1998