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The resource allocation problem for multiuser channels is decomposed into two layers. The lower layer is the weighted sum rate maximization, which is widely considered for many different multiuser channels. The weighted sum rate maximization is employed as a subroutine and called the upper layer. The upper layer is the optimization of dual variables for maximizing a joint utility function, which is...
We study joint rate control and resource allocation with QoS provisioning that maximizes the total utility of secondary users in cognitive radio networks. We formulate and decouple the original utility optimization problem into separable subproblems and then develop an algorithm that converges to optimal rate control and resource allocation. The proposed algorithm can operate on different time-scale...
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