Paper Info
Title
Nonconvex Optimization for Power Control in Wireless CDMA Networks
Abstract
In this paper, we propose an efficient power control algorithm for the downlink wireless CDMA systems. The goal of our paper is to achieve the optimum and fair resource utilization by maximizing a weighted sum utility with the power constraint. In fact, the objective function in the power optimization problem is always nonconcave, which makes the problem difficult to solve. We make progress in solving this type of optimization problem using PSO (particle swarm optimization). PSO is a new evolution algorithm based on the movement and intelligence of swarms looking for the most fertile feeding location, which can solve discontinuous, nonconvex and nonlinear problems efficiently. It's proved that the proposed algorithm converges to the global optimal solutions in this paper. Numerical examples show that our algorithm can guarantee the fast convergence and fairness within a few iterations. It also demonstrates that our algorithm can efficiently solve the nonconvex optimization problems when we study the different utility functions in more realistic settings.
Year
DOI
Venue
2011
10.1007/s11277-009-9909-7
Wireless Personal Communications
Keywords
Field
DocType
Nonconvex optimization,Particle swarm optimization (PSO),CDMA,Power control
Continuous optimization,Derivative-free optimization,Mathematical optimization,Computer science,Meta-optimization,Multi-objective optimization,Multi-swarm optimization,Imperialist competitive algorithm,Optimization problem,Metaheuristic
Journal
Volume
Issue
ISSN
58
4
0929-6212
Citations 
PageRank 
References 
3
0.42
16
Authors
3
Name
Order
Citations
PageRank
Meiqin Tang1233.92
Chengnian Long224828.71
Xinping Guan32791253.38