Distributed optimization of the Bhattacharyya parameter in wireless relay networks

A distributed optimization algorithm is presented for resource allocation in wireless relay networks. This algorithm is particularly useful in multiple-source, multiple-relay wireless networks employing fractional cooperation, in which each relay contributes only a fraction of its resources to each source; in this case, the algorithm is used to find the optimal fractions. The advantage of this distributed algorithm is to permit optimization in a large network, even though each node is only aware of the local topology of the network. Examples and simulation results are presented, illustrating the use of this algorithm.