Expectation Propagation Based Iterative Multi-User Detection for MIMO-IDMA Systems

Xiangming Meng, Sheng Wu, Linling Kuang, Zuyao Ni, Jianhua Lu

Abstract: In this paper, we propose an expectation propagation based iterative multi-user detection algorithm for multiple input multiple output interleave-division multiple access (MIMO-IDMA) systems with high-order modulation. The proposed detector can be well integrated into the traditional structure of turbo receivers for MIMO-IDMA systems. By formulating a scalar factor graph representation of the multi-user detector and choosing Gaussian distribution as the projection set for the symbol belief, the overall detection complexity can be reduced to scaling linearly with the number of users, the number of receive antennas and transmit antennas. Numerical results for coded MIMO-IDMA systems with 16-QAM modulation show that our proposed algorithm outperforms the factor graph based detection with Gaussian approximation in terms of the bit error rate (BER) performance with lower complexity.