TY - GEN
T1 - Capacity region of layered erasure one-sided interference channels without CSIT
AU - Zhu, Yan
AU - Guo, Dongning
PY - 2010/7/27
Y1 - 2010/7/27
N2 - This paper studies a layered erasure model for interference channels, which is a simplification of the Gaussian fading interference channel using the deterministic model approach. It is assumed that interference is one-sided, so that one of the receivers is not subject to interference. Moreover, the channel state information (CSI) is known to the receivers, but there is no CSI at transmitters (CSIT). Under these assumptions, the capacity region of the one-sided layered-erasure interference channel is completely determined for arbitrary fading statistics. Previous results of Aggarwal, Sankar, Calderbank and Poor on the capacity region or sum capacity under several interference configurations are shown to be special cases of the capacity region found in this paper.
AB - This paper studies a layered erasure model for interference channels, which is a simplification of the Gaussian fading interference channel using the deterministic model approach. It is assumed that interference is one-sided, so that one of the receivers is not subject to interference. Moreover, the channel state information (CSI) is known to the receivers, but there is no CSI at transmitters (CSIT). Under these assumptions, the capacity region of the one-sided layered-erasure interference channel is completely determined for arbitrary fading statistics. Previous results of Aggarwal, Sankar, Calderbank and Poor on the capacity region or sum capacity under several interference configurations are shown to be special cases of the capacity region found in this paper.
UR - http://www.scopus.com/inward/record.url?scp=77954828355&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954828355&partnerID=8YFLogxK
U2 - 10.1109/ITWKSPS.2010.5503174
DO - 10.1109/ITWKSPS.2010.5503174
M3 - Conference contribution
AN - SCOPUS:77954828355
SN - 9781424463725
T3 - IEEE Information Theory Workshop 2010, ITW 2010
BT - IEEE Information Theory Workshop 2010, ITW 2010
T2 - IEEE Information Theory Workshop 2010, ITW 2010
Y2 - 6 January 2010 through 8 January 2010
ER -