A Beamforming Algorithm Based on Interference Pricing for the MISO Interference Channel

We study in this paper a sub-optimal beamforming algorithm for the MISO interference channel based on interference pricing, defined as user´s marginal decrease in its utility due to interference. An iterative approach is considered given a set of interference prices and beams. Combining the interference price from other users and channel state information, the transmitter can update the beams to maximize its pure utility, which is defined as its own utility minus loss from other users´ utility caused by its interference. Meanwhile, the receiver can update its interference price according to the total received interference. Our results from comprehensive simulations show that this algorithm is vastly superior to the existing beamforming algorithms, e.g. the maximum-ratio transmission (MRT) beamforming scheme, the zero-forcing (ZF) beamforming scheme and the algorithm in in terms of efficiency, convergence and robustness, which can get close to the Pareto edge of the available rate region in.