Author(s)

Lei Zhang^1,2, Shanzhi Mou³, Yu Wang¹

¹School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China.
²National Mobile Communications Research Laboratory, Southeast University, Nanjing, China.
³School of Mathematics and Physics, Jiangsu University of Technology, Changzhou, China.

In cognitive radio networks, the spectrum utilization can be improved by cognitive users opportunistically using the idle channels licensed to the primary users. However, the new arrived cognitive users may not be able to use the channel immediately since the channel usage state is random. This will impose additional time delay for the cognitive users. Excessive waiting delay can make cognitive users miss the spectrum access chances. In this paper, a discrete-time Markov queuing model from a macro point of view is provided. Through the matrix-geometric solution theory, the average sojourn time for cognitive users in the steady state before accessing the spectrum is obtained. Given the tolerant delay of cognitive users, the macro-based throughput is derived and an access control mechanism is proposed. The numerical results show the effects of service completion probability on average sojourn time and throughput. It is confirmed that the throughput can be obviously improved by using the proposed access control mechanism. Finally, the performance evaluations based on users are compared to that based on data packets.

Cognitive Radio Networks, Macro-Level Spectrum Access, Discrete-Time Queuing Theory, Matrix-Geometric Solution, Access Control

Zhang, L. , Mou, S. and Wang, Y. (2019) User-Based Discrete-Time Queuing Analysis for Opportunistic Spectrum Access in Cognitive Radio Networks. Advances in Pure Mathematics, 9, 1-14. doi: 10.4236/apm.2019.91001.