DocumentCode :
2317041
Title :
A power allocation strategy using Game Theory in Cognitive Radio networks
Author :
Del Re, Enrico ; Gorni, Gherardo ; Ronga, Luca ; Suffritti, Rosalba
Author_Institution :
Dept. of Electron. & Telecommun. (DET), Univ. of Florence, Florence, Italy
fYear :
2009
fDate :
13-15 May 2009
Firstpage :
117
Lastpage :
123
Abstract :
The Cognitive Radio approach can be considered as a promising and suitable solution to solve in an efficient and flexible way the increasing and continuous demand of services and radio resources. This paper investigates how the adoption of a cognitive radio strategy can help in the coexistence problem of two wireless networks operating on the same spectrum of frequencies. A DVB-SH based satellite network will be considered as primary system, while an infrastructured wireless terrestrial network will constitute the cognitive radio based secondary system. In this work it will be presented a power resource allocation technique based on Game Theory, considering mainly Potential Games. We will show the proposed approach is suitable for distributed implementation, furthermore it provides performances comparable to an heuristic allocation method representing the optimum allocation. The comparison between these two resource allocation methods will be provided as result of this work.
Keywords :
cognitive radio; digital video broadcasting; game theory; resource allocation; satellite communication; DVB-SH based satellite network; cognitive radio networks; game theory; heuristic allocation method; potential games; power allocation strategy; radio resources; resource allocation methods; wireless terrestrial network; Chromium; Cognitive radio; Communication systems; Digital video broadcasting; Frequency; Game theory; OFDM; Power control; Resource management; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Game Theory for Networks, 2009. GameNets '09. International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-4176-1
Electronic_ISBN :
978-1-4244-4177-8
Type :
conf
DOI :
10.1109/GAMENETS.2009.5137392
Filename :
5137392
Link To Document :
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