Monotonic Optimization: Problems and Solution Approaches
SIAM Journal on Optimization
Review of Rate Regions for Interference Channels
IZS '06 Proceedings of the 2006 International Zurich Seminar on Communications
MAPEL: achieving global optimality for a non-convex wireless power control problem
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
On achievable rate regions for the Gaussian interference channel
IEEE Transactions on Information Theory
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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.