Paper Info
Title
A Mac Level Strategy For Dynamic Resource Allocation In Cognitive Radio Tactical Networks
Abstract
The ability to continuously self-adapt to the variations of the radio environment will be an interesting issue for future tactical radio networks. Cognitive Radio (CR) is the main enabling paradigm allowing the self-adaptation process in military communications minimizing the human intervention in the network management operations. In this paper we provide a MAC-level solution based on a game theoretic framework that covers these open issues. Thinking to the CR devices in the network as players of the same game, the resource allocation problem can be formulated as a S-Modular Game, since it provides a set of helpful tools aimed at defining multi-objective distributed algorithms in the radio-communications context. On the base of the proposed solution, CR devices are able to hierarchically self-configure the network and share the radio resources in a fair and energy-efficient way. Simulation results presented in this paper has been obtained within the CORASMA project and they show the good performance of the proposed solution for cognitive radio tactical networks.
Year
Venue
Field
2015
2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW)
Resource management,Radio resource management,Computer science,Computer network,Distributed algorithm,Military communications,Resource allocation,Network management,Distributed computing,Cognitive radio,Cognitive network
DocType
ISSN
Citations 
Conference
2164-7038
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Renato Pucci151.75
Luca Simone Ronga212024.97
Enrico Del Re321233.24