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arXiv · 1010.4690

A convex approximation approach to Weighted Sum Rate Maximization of Multiuser MISO Interference Channel under outage constraints

Wei-Chiang Li·Tsung-Hui Chang·Che Lin·Chong-Yung Chi
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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.

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Wei-Chiang Li, Tsung-Hui Chang, Che Lin, Chong-Yung Chi. 2010-10-22. A convex approximation approach to Weighted Sum Rate Maximization of Multiuser MISO Interference Channel under outage constraints. https://arxiv.org/abs/1010.4690

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