2015/07/01 by Atul Kumar Sinha, A. K. Chaturvedi, Sinha, Atul Kumar +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Technologies #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1507.00138
openalex publication_date 2015/07/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
In this paper, we propose low complexity opportunistic methods for interference alignment in K-transmitter MIMO interference channels by exploiting multiuser diversity. We do not assume availability of channel state information (CSI) at the transmitters. Receivers are required to feed back analog values indicating the extent to which the received interference subspaces are aligned. The proposed opportunistic interference alignment (OIA) achieves sum-rate comparable to conventional OIA schemes but with a significantly reduced computational complexity.