Approximate capacity of the general gaussian parallel relay network

We approximate the capacity of the Gaussian parallel relay network with general channel gains. Our strategy is to find capacity approximations for the corresponding network in the discrete superposition model and to use the fact that those are an approximation for the Gaussian capacity. The gap betw...

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Vydáno v:2011 IEEE International Symposium on Information Theory Proceedings s. 89 - 93
Hlavní autoři: Schrammar, N., Andersson, M., Skoglund, M.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2011
Témata:
Additives
Approximation methods
Channel models
Receivers
Relays
Solids
Transmitters
ISBN:1457705966, 9781457705960
ISSN:2157-8095
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Popis
Shrnutí:We approximate the capacity of the Gaussian parallel relay network with general channel gains. Our strategy is to find capacity approximations for the corresponding network in the discrete superposition model and to use the fact that those are an approximation for the Gaussian capacity. The gap between our approximation and the Gaussian capacity is a constant depending only on the number of relays, hence it is a valuable characterization for the regime of high SNR and high rate.
ISBN:1457705966
9781457705960
ISSN:2157-8095
DOI:10.1109/ISIT.2011.6034268