Abstract
Iterative waterfilling power allocation algorithm for Gaussian interference channels is investigated. The system is formulated as a non-cooperative game. Based on the measured interference powers, the users maximize their own throughput by iteratively adjusting their power allocations. The Nash equilib- rium in this game is a fixed point of such iterative algorithm. Both synchronous and asynchronous power update are considered. Some sufficient conditions under which the algorithm converges to the Nash equilibrium are derived.
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