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Congratulations to Daniela Tuninetti, Associate Professor in the ECE Department, who has received an NSF grant of $117,000 as sole PI for a project titled "CIF: Small: Modules as a Framework for Interference Alignment in Networks," starting August 1 , 2012 to July 31, 2013.


Interference Alignment (IA) is a breakthrough paradigm for networks where several users share the same channel resources, such as in wireless networks. Today's commercially available networks are build so as to avoid interference, that is, a given resource is used by only one user. With IA all users access the channel simultaneously and each user obtains half the interference-free rate, thereby achieving a network throughput that scales linearly with the number of users. Two IA approaches are known in the literature but at present no unifying framework exists that encompasses both. This research uses the theory of modules (on residue rings or polynomial rings) from modern algebra as a unifying framework for interference alignment. The central impact of the proposed work stems from its unified theoretical treatment of interference alignment. Although it has been often observed that classical linear algebra tools are insufficient for network problems, the theory of modules has not emerged so far as a tool to explain, analyze and design codes for interference networks. This research, by exploring a novel foundations of interference alignment, will provide the community with an extremely rich toolset to design and analyze codes, which is expected to impact and benefit other network problem such as network coding and compute-and-forward.

Topic revision: r1 - 2012-07-30 - 19:17:10 - Main.ronaldf
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