Distributed beamforming design of the Pareto boundary for MISO interference channels

This paper considers a two-cell multiple-input single-output (MISO) interference channel, where the Pareto boundary of the achievable rate region is computed through linear beamforming design. A distributed beamforming strategy is provided by solving the signal-to-leakage-plus-noise (SLNR) maximization problem with per base station (BS) power constraints. After some conversion, a single real-valued parameter per BS is derived to achieve all points on the Pareto boundary with local channel state information (CSI), where the points on the Pareto boundary corresponds to beamforming vectors that are linear combinations of the zero forcing (ZF) and maximum-ratio transmission (MRT) beamformers. The proposed algorithm can be extended to multi-cell MISO interference channels. Simulation results demonstrate that the proposed distributed algorithm is Pareto optimal and has lower computational complexity than the iterative algorithms.