Budget allocation in a competitive communication spectrum economy
EURASIP Journal on Advances in Signal Processing - Special issue on game theory in signal processing and communications
Distributed multiuser power control for digital subscriber lines
IEEE Journal on Selected Areas in Communications
Designing neural networks for tackling hard classification problems
WSEAS TRANSACTIONS on SYSTEMS
Dynamic spectrum management using GA
CIMMACS'11/ISP'11 Proceedings of the 10th WSEAS international conference on Computational Intelligence, Man-Machine Systems and Cybernetics, and proceedings of the 10th WSEAS international conference on Information Security and Privacy
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The demand for spectrum resource is increasingly growing with the rapid development of wireless networks and devices. Therefore, how to allocate spectrum dynamically to enhance system efficiency has become an important issue in recent years. In this paper, we propose a simulated annealing (SA) based approach to solve the dynamic spectrum management problem. The objective is to maximize the sum of individual Shannon utilities in a multi-user communication system. Experimental result shows that our proposed approach can achieve an acceptable solution within a reasonable amount of time as the number of users and channels increases.