Elements of information theory
Elements of information theory
Analysis of iterative waterfilling algorithm for multiuser power control in digital subscriber lines
EURASIP Journal on Applied Signal Processing
Joint multiuser detection and optimal spectrum balancing for digital subscriber lines
EURASIP Journal on Applied Signal Processing
Distributed multiuser power control for digital subscriber lines
IEEE Journal on Selected Areas in Communications
A simulated annealing approach for social utility maximization in dynamic spectrum management
IMCAS'09 Proceedings of the 8th WSEAS international conference on Instrumentation, measurement, circuits and systems
Using simulated annealing algorithm for maximizing social utility in dynamic spectrum management
WSEAS TRANSACTIONS on COMMUNICATIONS
IEEE Transactions on Signal Processing
Dynamic spectrum management with the competitive market model
IEEE Transactions on Signal Processing
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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This study discusses how to adjust "monetary budget" tomeet each user's physical power demand, or balance all individual utilities in a competitive "spectrum market" of a communication system. In the market, multiple users share a common frequency or tone band and each of them uses the budget to purchase its own transmit power spectra (taking others as given) in maximizing its Shannon utility or pay-off function that includes the effect of interferences. A market equilibrium is a budget allocation, price spectrum, and tone power distribution that independently and simultaneously maximizes each user's utility. The equilibrium conditions of the market are formulated and analyzed, and the existence of an equilibrium is proved. Computational results and comparisons between the competitive equilibrium and Nash equilibrium solutions are also presented, which show that the competitive market equilibrium solution often provides more efficient power distribution.