A convex approximation approach to Weighted Sum Rate Maximization of Multiuser MISO Interference Channel under outage constraints
Abstract
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 Pareto-optimal 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 method can yield near-optimal solutions.
Keywords
Cite
@article{arxiv.1010.4690,
title = {A convex approximation approach to Weighted Sum Rate Maximization of Multiuser MISO Interference Channel under outage constraints},
author = {Wei-Chiang Li and Tsung-Hui Chang and Che Lin and Chong-Yung Chi},
journal= {arXiv preprint arXiv:1010.4690},
year = {2010}
}