Cooperative Beamforming Design for MIMO Multiuser Networks

We consider a cooperative beamforming design problem for multiple-input multiple-output multiuser networks by applying the cooperative bargaining theory. The gradient method for Nash bargaining solutions includes complicate matrix computation leading to impractical. In this paper, we introduce the Kalai-Smorodinsky solution which can be simply implemented by convex optimization algorithms. In addition, we propose low complexity suboptimal user selection algorithm to maximize the achievable sum rate.