Effect of spectrum sensing overhead on performancefor cognitive radio networks with channel bonding

Haruki Katayama; Hiroyuki Masuyama; Shoji Kasahara; Yutaka Takahashi

doi:10.3934/jimo.2014.10.21

Article Contents

2014, Volume 10, Issue 1: 21-40. Doi: 10.3934/jimo.2014.10.21

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Effect of spectrum sensing overhead on performance for cognitive radio networks with channel bonding

1.
Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501
2.
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara 630-0192

Received: August 31, 2012

Revised: May 31, 2013

Published: December 2013

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Abstract

In cognitive radio networks, secondary spectrum users detect available frequency channels by spectrum sensing. In general, the sensing time is communication overhead, and affects system's performance. In this paper, we theoretically consider the effect of sensing overhead on the system performance for cognitive radio networks with channel bonding. Specifically, we model the system with a multidimensional continuous-time Markov chain whose state is defined by the numbers of primary users, secondary users, and sensing users. The blocking probability, the forced termination probability and the throughput are derived. The analysis is validated by Monte Carlo simulation. Numerical examples show that the forced termination probability is not affected by sensing overhead, while the blocking probability and the throughput degrade with the increase in the sensing time. It is also shown that the optimal number of bonded sub-channels for the throughput performance significantly depends on the offered load from primary users.

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Mathematics Subject Classification: Primary: 60K25, 60J27; Secondary: 68M20.

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