TY - GEN
T1 - Weighted sum rate maximization on two user Gaussian interference channels with rate splitting
AU - Riemensberger, Maximilian
AU - Abdelghani, Ines
AU - Lenz, Johannes
AU - Utschick, Wolfgang
PY - 2009
Y1 - 2009
N2 - In interference limited networks treating interference as noise leads to performance degradation at high transmit powers. This can be avoided with rate splitting schemes (Han-Kobayashi region) where portions of the interference are decoded and removed at each receiver. We propose an algorithmic framework for solving the weighted sum rate maximization problem for the two user case of Gaussian interference channels. The polyblock outer approximation algorithm is used to solve the problem despite its nonconvexity. Contrary to usual brute force sampling approaches this framework may be extended to more users and other Gaussian interference models such as the X channel.
AB - In interference limited networks treating interference as noise leads to performance degradation at high transmit powers. This can be avoided with rate splitting schemes (Han-Kobayashi region) where portions of the interference are decoded and removed at each receiver. We propose an algorithmic framework for solving the weighted sum rate maximization problem for the two user case of Gaussian interference channels. The polyblock outer approximation algorithm is used to solve the problem despite its nonconvexity. Contrary to usual brute force sampling approaches this framework may be extended to more users and other Gaussian interference models such as the X channel.
UR - http://www.scopus.com/inward/record.url?scp=77953832739&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2009.5470049
DO - 10.1109/ACSSC.2009.5470049
M3 - Conference contribution
AN - SCOPUS:77953832739
SN - 9781424458271
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1115
EP - 1119
BT - Conference Record - 43rd Asilomar Conference on Signals, Systems and Computers
T2 - 43rd Asilomar Conference on Signals, Systems and Computers
Y2 - 1 November 2009 through 4 November 2009
ER -