Computer Science – Information Theory
Scientific paper
2008-03-26
IEEE Transactions on Information Theory, Vol. 57, No. 6, June, 2011, Pages: 3309-3322
Computer Science
Information Theory
10 pages 2 columns
Scientific paper
Recent results establish the optimality of interference alignment to approach the Shannon capacity of interference networks at high SNR. However, the extent to which interference can be aligned over a finite number of signalling dimensions remains unknown. Another important concern for interference alignment schemes is the requirement of global channel knowledge. In this work we provide examples of iterative algorithms that utilize the reciprocity of wireless networks to achieve interference alignment with only local channel knowledge at each node. These algorithms also provide numerical insights into the feasibility of interference alignment that are not yet available in theory.
Cadambe Viveck R.
Gomadam Krishna
Jafar Syed A.
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