DocumentCode :
692312
Title :
Resource allocation algorithm for cognitive radio network with heterogeneous user traffic
Author :
Asheralieva, Alia ; Mahata, Kaushik
Author_Institution :
Sch. of Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
fYear :
2013
fDate :
9-13 Dec. 2013
Firstpage :
4633
Lastpage :
4638
Abstract :
In this paper we present a novel approach for resource allocation in cognitive radio network (CRN) with heterogeneous user traffic. In this approach we deploy some form of reinforcement learning, and make a short-term resource allocation based on the long-term traffic prediction. The corresponding resource allocation algorithm derived in the paper is implemented in cognitive 3rd Generation Partnership Project Long Term Evolution (3GPP LTE) network. Performance analysis of the algorithm has shown that the proposed approach for resource allocation achieves better performance than other schemes designed to deal with the problem of heterogeneous user applications.
Keywords :
3G mobile communication; Long Term Evolution; bandwidth allocation; cognitive radio; learning (artificial intelligence); telecommunication traffic; 3GPP LTE network; 3rd Generation Partnership Project Long Term Evolution network; CRN; cognitive radio network; heterogeneous user traffic; long-term traffic prediction; reinforcement learning; resource allocation algorithm; Channel allocation; Equations; Wireless communication; CRN; IEEE802.22; LTE; resource allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location :
Atlanta, GA
Type :
conf
DOI :
10.1109/GLOCOMW.2013.6855682
Filename :
6855682
Link To Document :
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