DocumentCode
2286413
Title
Queueing analysis for cognitive radio networks with lower-layer considerations
Author
Wang, Jian ; Huang, Aiping ; Wang, Wei ; Yin, Rui
Author_Institution
Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou, China
fYear
2012
fDate
1-4 April 2012
Firstpage
1269
Lastpage
1274
Abstract
In this paper, the queue dynamics of secondary users (SUs) in a multi-SU and multi-channel cognitive radio network is analyzed to obtain the expressions of quality of service (QoS) metrics. Specially, in the analysis, we take several lower-layer mechanisms and settings into account, including automatic repeat request (ARQ), finite-size buffer, adaptive modulation and coding (AMC) and non-ignorable spectrum sensing errors. By modeling the queue dynamics as a Markov chain, we derive the analytical expressions of queue length, packet dropping rate and packet collision rate. Based on these expressions, the QoS metrics including delay, packet loss rate and throughput are calculated further. Through simulation, our queueing analysis is verified and the QoS metrics are investigated.
Keywords
Markov processes; cognitive radio; quality of service; queueing theory; radio networks; wireless channels; AMC; ARQ; Markov chain; QoS metric; SU; adaptive modulation and coding; automatic repeat request; delay; finite-size buffer; lower-layer consideration; multichannel cognitive radio network; nonignorable spectrum sensing error; packet collision rate; packet dropping rate; packet loss rate; quality of service metric; queue length analytical expression; queueing dynamic analysis; secondary user; Analytical models; Automatic repeat request; Measurement; Probability; Quality of service; Queueing analysis; Sensors; AMC; ARQ; cognitive radio network; finite-size buffer; queueing analysis; sensing errors;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference (WCNC), 2012 IEEE
Conference_Location
Shanghai
ISSN
1525-3511
Print_ISBN
978-1-4673-0436-8
Type
conf
DOI
10.1109/WCNC.2012.6213973
Filename
6213973
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