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.