Non-cooperative uplink power control in cellular radio systems
Wireless Networks - Special issue transmitter power control
Wcdma for Umts
Dispersion games: general definitions and some specific learning results
Eighteenth national conference on Artificial intelligence
Third generation and beyond wireless systems
Communications of the ACM - Program compaction
Fast convergence of selfish rerouting
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
A cooperative uplink power control scheme for elastic data services in wireless CDMA systems
ACM SIGCOMM Computer Communication Review
Comparative study of frequency agile data transmission schemes for cognitive radio transceivers
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Channel assignment schemes for cellular mobile telecommunication systems: A comprehensive survey
IEEE Communications Surveys & Tutorials
IEEE Communications Magazine
TDCS, OFDM, and MC-CDMA: a brief tutorial
IEEE Communications Magazine
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
Dynamic spectrum access in open spectrum wireless networks
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
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Recent studies indicate the presence of a significant amount of idle licensed spectrum, in different time periods and geographic locations. Fixed spectrum allocation lacks efficient mechanisms for sharing spectral resources. Prompted by the recent regulatory changes and radio technology advances, opportunistic use of spectrum bands is becoming increasingly attractive, as it can alleviate the spectrum scarcity problem in the unlicensed bands. We study the dynamic spectrum access for a CDMA wireless environment, where unlicensed users run elastic data applications, i.e., throughput has to be within a range of acceptable values. Unlicensed users may transmit in idle licensed bands (i.e., not used by a licensed user). We focus on the band selection problem of unlicensed users. We propose a prediction-driven and a probabilistic, distributed strategy with which users might efficiently share the available resources. The assessment of the proposed strategies shows that they achieve fast convergence and the attained equilibria are near optimal.