TY - GEN
T1 - Bounds on the capacity region of a class of Gaussian broadcast interference channels
AU - Liu, Yuanpeng
AU - Erkip, Elza
PY - 2013
Y1 - 2013
N2 - In this paper, a class of Gaussian broadcast interference channels is investigated, where one of the two broadcast users is subject to the interference coming from a point-to-point transmission. Channel parameters are categorized into three regimes. For the first two, where an ordering of the decodability of the broadcast users exists, inner bounds based on superposition and rate splitting are obtained. Entropy-power-inequality-based outer bounds are derived by combining bounding techniques for Gaussian broadcast and interference channels. These inner and outer bounds lead to either exact or approximate characterizations of the capacity region and sum capacity under various conditions. For the remaining complementing regime, inner and outer bounds are also provided.
AB - In this paper, a class of Gaussian broadcast interference channels is investigated, where one of the two broadcast users is subject to the interference coming from a point-to-point transmission. Channel parameters are categorized into three regimes. For the first two, where an ordering of the decodability of the broadcast users exists, inner bounds based on superposition and rate splitting are obtained. Entropy-power-inequality-based outer bounds are derived by combining bounding techniques for Gaussian broadcast and interference channels. These inner and outer bounds lead to either exact or approximate characterizations of the capacity region and sum capacity under various conditions. For the remaining complementing regime, inner and outer bounds are also provided.
UR - http://www.scopus.com/inward/record.url?scp=84890362885&partnerID=8YFLogxK
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U2 - 10.1109/ISIT.2013.6620365
DO - 10.1109/ISIT.2013.6620365
M3 - Conference contribution
AN - SCOPUS:84890362885
SN - 9781479904464
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 942
EP - 946
BT - 2013 IEEE International Symposium on Information Theory, ISIT 2013
T2 - 2013 IEEE International Symposium on Information Theory, ISIT 2013
Y2 - 7 July 2013 through 12 July 2013
ER -