Enabling real-time interference alignment: promises and challenges

Authors:
Kyle Miller;Atresh Sanne;Kannan Srinivasan;Sriram Vishwanath
Affiliations:
University of Texas, Austin, Austin, TX, USA;University of Texas, Austin, Austin, TX, USA;Ohio State University, Columbus, OH, USA;University of Texas, Austin, Austin, TX, USA
Venue:
Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing
Year:
2012

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Abstract

As its name suggests, "interference alignment" is a class of transmission schemes that aligns multiple sources of interference to minimize its impact, thus aiming to maximize rate in an interference network. To our knowledge, this paper presents the first real-time implementation of interference alignment. Other implementation in the literature are either done offline or assume a backchannel between participating nodes to perform alignment. On the other hand, this paper presents a blind interference alignment scheme, one that does not require channel state information at the transmitters or the knowledge of other transmitters data or the knowledge of data between receivers and functions in real-time.