Distributed precoder optimization for interfering MISO channels

In this paper, we examine the problem of two multiple-input-single-output (MISO) links that interfere with each other. We discuss some straightforward strategies for the users to optimize their rates and show how a certain degree of cooperation between the users can lead to an improvement of both individual links. We propose an algorithm that is based on the users exchanging ´interference prices´ and is realizable in a distributed manner. The algorithm converges towards a locally sum-rate optimal solution and exhibits nearly identical performance as a non-distributed gradient ascent algorithm, outperforming the straightforward strategies over the complete range of noise powers.