Author(s)

Tao Peng, Yue Xiao, Shaoqian Li, Huaqiang Shu, Eric Pierre Simon

IEMN Lab, TELICE Group, University of Lille, Lille, France.
Nation Key Lab of Sci. and Techno. On Commun. University of Electronic Sci. and Techno. of China, Chengdu, China.

Orthogonal frequency division multiplexing-interleave division multiple access (OFDM-IDMA) systems may suffer from serious inter-carrier interference (ICI) in time-and frequency-selective (doubly selective) channels. In such case, the conventional OFDM-IDMA detection algorithm for quasi-static channels will result in significantly performance degradation. In this paper, signal detection is investigated for OFDM-IDMA uplink over doubly selective channels. Firstly, the impact of time-varying channels for OFDM-IDMA uplink is analyzed, which leads to the failure of the conventional algorithm. Secondly, a novel iterative detection algorithm is developed based on an integrated interference canceller, which can iteratively estimate and mitigate the ICI as well as multiple access interference (MAI) simultaneously. In addition, an improved detection algorithm is derived for reducing the complexity using an approximation to the mean and variance of the interference. Simulation results indicate that the proposed algorithm can significantly enhance the system performance to the conventional case, and the improved algorithm can strike a balance between performance and complexity.

Interleave Division Multiple Access (IDMA); Orthogonal Frequency Division Multiplexing (OFDM); Doubly Selective Channel

Peng, T. , Xiao, Y. , Li, S. , Shu, H. and Simon, E. (2013) Signal Detection for OFDM-IDMA Uplink over Doubly Selective Channels. Communications and Network, 5, 249-254. doi: 10.4236/cn.2013.53B2046.