Affiliation:
1. City University of Hong Kong
Abstract
How do we efficiently and fairly allocate the resource in a wireless network? We study a joint rate and power control optimization to achieve egalitarian fairness (max-min weighted fairness) in multiuser wireless networks. The key challenge to optimizing the fairness of maximizing the data rates for all the users is the nonconvexity and of the problem. We exploit the nonlinear Perron-Frobenius theory and nonnegative matrix theory to solve this nonconvex resource control problem. A fixed-point algorithm that resembles a nonlinear version of the Power Method in linear algebra and converges very fast to the optimal solution is also proposed.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference6 articles.
1. Cognitive Radio Network Duality and Algorithms for Utility Maximization
2. D. W. H. Cai C. W. Tan and S. H. Low "Optimal max-min fairness rate control in wireless networks: Perron-Frobenius characterization and algorithms " Proc. of IEEE Infocom 2012. D. W. H. Cai C. W. Tan and S. H. Low "Optimal max-min fairness rate control in wireless networks: Perron-Frobenius characterization and algorithms " Proc. of IEEE Infocom 2012.
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