A Diversity Analysis for Distributed Interference Alignment Using the Max-SINR Algorithm

作者：Xu Tianyi^*; Xia Xiang Gen

来源：IEEE Transactions on Information Theory, 2014, 60(3): 1857-1868.

DOI：10.1109/TIT.2013.2294830

• MIMO interference channel
• diversity
• interference alignment
• max-SINR algorithm
• degree of freedom

Gomadam et al. recently proposed two distributed interference alignment algorithms, namely the zero-forcing and the maximal signal to interference plus noise ratio (max-SINR) algorithms. Both of them only require local channel state information and no symbol extension is needed. Then, Ning et al. showed that when only one stream of information symbols is sent by each user, interference alignment may achieve receive diversity using the max-SINR algorithm. This result was, however, derived only based on an assumption. In this paper, using a different approach, we prove that interference alignment using the max-SINR algorithm indeed achieves receive diversity without the assumption used by Ning et al. The result in this paper not only completes the proof of the result by Ning et al., but also generalizes it by allowing more than one stream of information symbols to be sent by each user.

• 出版日期2014-3