Elements of information theory
Elements of information theory
Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Convex Optimization
Fundamentals of wireless communication
Fundamentals of wireless communication
Geometric programming for communication systems
Communications and Information Theory
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
Dynamic spectrum management for next-generation DSL systems
IEEE Communications Magazine
Distributed multiuser power control for digital subscriber lines
IEEE Journal on Selected Areas in Communications
EURASIP Journal on Wireless Communications and Networking - Special issue on femtocell networks
Managing Femto to Macro Interference without X2 Interface Support through POMDP
Mobile Networks and Applications
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We present a non-cooperative game-theoretic approach for the distributed resource allocation problem in the context of multiple transmitters communicating with multiple receivers through parallel independent fading channels, which is closely related with small-cell multi-user orthogonal frequency division multiplexing (OFDM) networks, e.g., Wi-Fi hotspots. We assume that all the transmitters are rational, selfish, and each one carries the objective of maximizing its own transmit rate, subject to its power constraint. In such a game-theoretic study, the central question is whether a Nash equilibrium (NE) exists, and if so, whether the network operates efficiently at the NE. We show, for independent fading channels, there almost surely exists a unique NE. Finally we present the behavior of average network performance at the NE through numerical results, and we compare the optimal centralized approach with our decentralized approach.