DocumentCode :
3251692
Title :
Throughput maximization problem for random allocation of channels in a cognitive radio network
Author :
Bhattacharjee, Subhasree ; Gupta, Arnab ; Basak, Pijush ; Konar, Amit ; Bhattacharjee, Sangeeta
Author_Institution :
Dept. of CA, Narula Inst. of Technol., Kolkata, India
fYear :
2011
fDate :
26-28 Dec. 2011
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, throughput analysis is presented for random allocation of channels in a cognitive radio network. In random allocation, each primary user dynamically and randomly selects a channel in each time slot. Secondary users are able to dynamically detect the idle channels in each time slot and compete to access these channels. We develop a model for throughput of primary and secondary users. A Poisson probability law is utilized for secondary users for throughput computation. The parameters such as traffic generation probability, fraction of primary users are computed for quantification of throughput. Some specified number of primary and secondary users are utilized in the analysis in light of maximum throughput.
Keywords :
Poisson distribution; cognitive radio; probability; Poisson probability; cognitive radio network; maximization problem; primary users; random allocation; secondary users; traffic generation probability; Cognitive radio; Data communication; FCC; Media Access Protocol; Resource management; Throughput; Wireless networks; cognitive radio; random allocation; secondary users; throughput analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication and Industrial Application (ICCIA), 2011 International Conference on
Conference_Location :
Kolkata, West Bengal
Print_ISBN :
978-1-4577-1915-8
Type :
conf
DOI :
10.1109/ICCIndA.2011.6146681
Filename :
6146681
Link To Document :
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