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We investigate the power allocation problem in interfering wireless networks. In the network, there are multiple sources with each transmitting to multiple destinations. By proposing a game, we are able to allocate power for each destination in a distributed way. Due to the possibility that the feasible set can be empty, our game can terminate the power allocation process upon detecting any infeasibility...
In wireless networks, users are typically coupled by interference. Hence, resource allocation can strongly depend on receive strategies, such as beamforming, CDMA receivers, etc. We study the problem of minimizing the total transmission power while maintaining individual quality-of-service (QoS) values for all users. This problem can be solved by the fixed-point iteration proposed by Yates (1995)...
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