Compressed Channel Sensing for Two-way Relay Network

概要

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Two-way relay network (TWRN) was introduced to realize high-data rate transmission and to improve spatial diversity over the frequency-selective fading channel. However, channel state information (CSI) is needed due to the requirement from coherent data detection and the self-data removal at terminals. Traditional training-based linear probing techniques are able to achieve the accurate CSI by using enough training sequence. However, these methods may lead to a low efficiency on the bandwidth due to that based on the implicit assumption of a rich underlying multipath, while neglected inherent channel sparsity in the TWRN. Unlike the previous methods, we propose a compressed channel sensing method (sometimes be called compressed sensing-based sparse channel estimation method) which exploits the sparse structure, and hence provide significant improvements in MSE performance when compared with conventional LS-based linear channel probing strategies in the TWRN. Simulation results confirm performance of the proposed method.
2010-10-20