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Interference alignment-based sum capacity bounds for random dense Gaussian interference networks

With the huge proliferation of wireless devices, networks are fundamentally limited by co-channel interference i.e. number of concurrent transmissions in given frequency band. Interference alignment is revolutionary strategy for interference management in wireless networks. An astonishing theoretical result of interference alignment is that infinite users can share same channel. Paper was first to provide fundamental bounds that allow theoretical result to be achieved. Paper is cited in first book on subject by Prof. Jafar, University of California, Irvine, USA [tinyurl.com/gen-eng-119] and work is also subject of i-CASE award part-funded by NEC [contact: Senior Manager].