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
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;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2012 IEEE
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0436-8
DOI :
10.1109/WCNC.2012.6213973
