DocumentCode
2093226
Title
Performance Analysis of the Cognitive Radio Network with a Call Level Queue for Secondary Users
Author
Zhang, Min ; Jiang, Shengming ; Wei, Gang ; Wang, Hongjiang
Author_Institution
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
fYear
2009
fDate
24-26 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
In a cognitive radio network (CRN), instead of direct leaving, an interrupted secondary user is suspended to wait for accessing another channel in a call level queue. The policy for handling the packets generated by the secondary user during the suspending period can be either delaying or discarding. According to these two packet level policies, the queue is separated into two parts, delay queue and discard queue. The paper mainly analyzes the performance of a CRN with such a two-part call level queue. Here, a Markov model is proposed to derive the formulas for packet loss ratio, packet delay, spectrum utilization and throughput. Numerical results show that theoretical models are consistent with simulation results. The major observations are summarized below, (i) Both packet loss ratio and throughput increase while the packet delay decreases with the increase of the delay queue length, (ii) Adopting different delay queue length does not cause much difference in CRN´s spectrum utilization, but has a large effect on throughput. (iii) The performance is bounded when the arrival rate goes into infinitely high.
Keywords
Markov processes; cognitive radio; performance evaluation; queueing theory; Markov model; call level queue; cognitive radio network; packet delay; packet loss ratio; performance analysis; spectrum utilization; Analytical models; Cognitive radio; Delay effects; Performance analysis; Performance loss; Queueing analysis; Radio network; Research and development; Throughput; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3692-7
Electronic_ISBN
978-1-4244-3693-4
Type
conf
DOI
10.1109/WICOM.2009.5301789
Filename
5301789
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