A novel channel indexing-based channel selection algorithm for cognitive radio networks

Ali, Amjad; Sakhare, Madhuri; Hwang, Kyojin; Suh, Doug-Young

doi:10.1109/ictc.2013.6675450

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…For efficient spectrum utilization in CR networks, many channel selection mechanisms have been extensively studied in the existing literature [28][29][30][31][32][33]. Most of these mechanisms consider only the remaining idle duration of the channel.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Zhai et al [28] used the availability of the spectrum and the idle channel duration to decide whether the SU will access the primary channel or not. Ali et al [29] proposed a rank-based channel selection scheme for efficient license bands' exploitation. A learning strategy for distributed channel selection in cognitive radio networks was proposed in [30], by which the QoS of competing SUs converges to their rank-optimal channels to avoid the collision on their own orthogonal channels.…”

Section: Introductionmentioning

confidence: 99%

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A Repeated Games-Based Secure Multiple-Channels Communications Scheme for Secondary Users with Randomly Attacking Eavesdroppers

Thien

Koo

2019

Applied Sciences

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The cognitive radio network (CRN) is vulnerable to various newly-arising attacks targeting the weaknesses of cognitive radio (CR) communication and networking. In this paper, we focus on improving the secrecy performance of CR communications in a decentralized, multiple-channel manner while various eavesdroppers (EVs) try to listen to their private information. By choosing the best channel, the secondary user (SU) aims at mitigating the effects of eavesdropping and other SUs that compete for the same channel. Accordingly, the problem of finding the best channel that maximizes the secrecy rate for the SU is formulated as the framework of multiple repeated games where both the SU and the EVs try to maximize their own performance. In this case, the secrecy rate of an SU is defined based on the expected rewards of the SUs and the EVs. In the paper, we propose a repeated games-based scheme that can provide the best channel for the SU to avoid eavesdropping attacks and also minimize interference from other SUs that compete for the same channel. The simulation results demonstrate that the proposed scheme can combat a physical layer attack from EVs quite well and can provide much better performance, in comparison with other conventional channel selection schemes.

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