Li, Wei-ChiangWei-ChiangLiChang, Tsung-HuiTsung-HuiChangCHE LINChi, Chong-YungChong-YungChi2020-06-292020-06-29201115206149https://scholars.lib.ntu.edu.tw/handle/123456789/506026https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051662163&doi=10.1109%2fICASSP.2011.5947107&partnerID=40&md5=9889358921a5366c586b2352ccf9b622This 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. © 2011 IEEE.convex optimization; Multiuser interference channel; outage probability; weighted sum rate maximizationAchievable rate region; Approximation methods; Convex approximation; Convex optimization problems; Exhaustive search; Interference channels; Interior-point method; Maximization problem; Multi user multiple input single outputs; Multi-user; Multi-user interference; Near-optimal solutions; Nonconvex optimization problem; outage probability; Pareto-optimal; Simulation result; Weighted sum-rate; Approximation theory; Computational complexity; Constrained optimization; Signal interference; Speech communication; Convex optimizationconference paper10.1109/ICASSP.2011.59471072-s2.0-80051662163https://doi.org/10.1109/ICASSP.2011.5947107