TY - GEN
T1 - On the Han-Kobayashi achievable region for Gaussian interference channels
AU - Tunmetti, Danila
AU - Weng, Yang
PY - 2008/9/29
Y1 - 2008/9/29
N2 - This work analyzes a particular achievable region for Gaussian interference channels (IFC) derived from the general Han-Kobayashi region. By reformulating the Han-Kobayashi achievable region as the sum of two sets, we characterize the maximum achievable sum-rate with Gaussian inputs and without time-sharing in closed from for any channel parameter. We then show that the computed sum-rate meets the upper bound by Kramer for any IFC with mixed interference, and not only for IFC with strong interference. We then show that for a certain subclass of IFCs with mixed interference, the capacity region contains a line segment of slope -1 of which we characterize the extreme points in term of the power allocation among private and common messages.
AB - This work analyzes a particular achievable region for Gaussian interference channels (IFC) derived from the general Han-Kobayashi region. By reformulating the Han-Kobayashi achievable region as the sum of two sets, we characterize the maximum achievable sum-rate with Gaussian inputs and without time-sharing in closed from for any channel parameter. We then show that the computed sum-rate meets the upper bound by Kramer for any IFC with mixed interference, and not only for IFC with strong interference. We then show that for a certain subclass of IFCs with mixed interference, the capacity region contains a line segment of slope -1 of which we characterize the extreme points in term of the power allocation among private and common messages.
UR - http://www.scopus.com/inward/record.url?scp=52349088445&partnerID=8YFLogxK
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U2 - 10.1109/ISIT.2008.4594984
DO - 10.1109/ISIT.2008.4594984
M3 - Conference contribution
AN - SCOPUS:52349088445
SN - 9781424422579
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 240
EP - 244
BT - Proceedings - 2008 IEEE International Symposium on Information Theory, ISIT 2008
T2 - 2008 IEEE International Symposium on Information Theory, ISIT 2008
Y2 - 6 July 2008 through 11 July 2008
ER -