Elements of information theory
Elements of information theory
A utility-based power-control scheme in wireless cellular systems
IEEE/ACM Transactions on Networking (TON)
Geometric programming for communication systems
Communications and Information Theory
Utility-based power control for a two-cell CDMA data network
IEEE Transactions on Wireless Communications
Fixed broadband wireless access: state of the art, challenges, and future directions
IEEE Communications Magazine
Distributed interference compensation for wireless networks
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
Virtual cooperation for throughput maximization in distributed large-scale wireless networks
EURASIP Journal on Advances in Signal Processing - Special issue on cooperative MIMO multicell networks
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Network-wide optimization of transmit power with the goal of maximizing the total throughput, promises significant system capacity gains in interference-limited data networks. Finding distributed solutions to this global optimization problem however, remains a challenging task. In this work, we first focus on the maximization of the weighted sum-rate capacity, as this allows the incorporation of QoS criteria in the objective function. For the case of two links, we are able to analytically characterize the optimal solution to the weighted sum-rate maximization problem. However, computing the optimal solution requires centralized knowledge of network information. We thus formulate a framework for distributed power optimization valid for N mutually interfering links, based on the concept of channel state partitioning. By assuming instantaneous knowledge of local information and statistical knowledge of non-local information, we derive a distributed power allocation algorithm, which we first analyze for the case of N = 2. Although a gain is observed over equal power allocation, the distributed algorithm shows a performance gap as compared to a centralized solution, as expected. We show however, that minimal information message passing (in this case one bit) between interfering links can help reduce this gap substantially. Finally, we also propose a method to incorporate user scheduling into the distributed power allocation algorithm.