A convex approximation approach to weighted sum rate maximization of multiuser MISO interference channel under outage constraint

This paper considers weighted sum rate maximization of multiuser multiple-input single-output interference channel (MISO-IFC) under outage constraints. The outage-constrained weighted sum rate maximization problem is a nonconvex optimization problem and is difficult to solve. While it is possible to optimally deal with this problem in an exhaustive search manner by finding all the Paretooptimal rate tuples in the (discretized) outage-constrained achievable rate region, this approach, however, suffers from a prohibitive computational complexity and is feasible only when the number of transmitter-receive pairs is small. In this paper, we propose a convex optimization based approximation method for efficiently handling the outage-constrained weighted sum rate maximization problem. The proposed approximation method consists of solving a sequence of convex optimization problems, and thus can be efficiently implemented by interior-point methods. Simulation results show that the proposed...

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Wei-Chiang Li, Tsung-Hui Chang, Che Lin, Chong-Yung Chi
• Keywords: ICASSP 2011, Rate Maximization Problem, Signal Processing, Sum Rate Maximization, Weighted Sum Rate