DocumentCode
235400
Title
Queuing-theoretical multi-user dynamic spectrum allocation & sharing mechanism in multi-channel cognitive radio networks
Author
Long Zhang ; Liusheng Huang ; Hongli Xu
Author_Institution
Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
137
Lastpage
142
Abstract
Recently, cognitive radio has been proposed to improved the spectrum resource utilization efficiency. The secondary users (SUs) are allowed to sense, detect and access the frequency bands that are not currently being in use by primary users (PUs). In fact, SUs always have no knowledge about PUs´ exact communication mechanism. In order to guarantee PUs´ communication quality of service (QoS) and satisfy SUs´ demand of using spectrum resource, it is a challenging task to find the spectrum sensing and access mechanism. When there are multiple SUs and multiple channels, the spectrum allocation and spectrum sharing must be considered. In this paper, we propose a multi-user spectrum allocation and multi-channel spectrum sharing mechanism for the SUs confronting with unknown primary behavior and study the interference to PUs caused by their dynamic access. The interference caused by SUs was analysis utilizing the Renewal Theory. Under the constraints of the interference to PUs and the secondary network´s stability, the queuing theory is utilized to obtain the maximum average data rate of SUs. Through lots of simulations, we verify the effectiveness of our analysis.
Keywords
cognitive radio; multi-access systems; quality of service; queueing theory; radio spectrum management; radiofrequency interference; communication quality-of-service; frequency band access; frequency band detection; frequency band sensing; interference; multichannel cognitive radio networks; primary users; queuing-theoretical multiuser dynamic spectrum allocation mechanism; queuing-theoretical multiuser dynamic spectrum sharing mechanism; renewal theory; secondary users; spectrum resource utilization efficiency improvement; Cognitive radio; Dynamic scheduling; Heuristic algorithms; Interference; Mathematical model; Resource management; Sensors; Cognitive radio networks; Dynamic spectrum access; queuing theory; spectrum allocation; spectrum sharing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communications and IT Applications Conference (ComComAp), 2014 IEEE
Conference_Location
Beijing
Print_ISBN
978-1-4799-4813-0
Type
conf
DOI
10.1109/ComComAp.2014.7017185
Filename
7017185
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