Adaptive Spectrum Opportunity Access in Cognitive Radio Networks

Pirmoradian, Mahdi; Adigun, Olayinka; Politis, Christos

doi:10.4304/jnw.8.4.747-754

Cited by 2 publications

(4 citation statements)

References 27 publications

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“…Based on the simulation results provided, the MCRA scheme showed better performance compared with the MHRA scheme in low‐latency handoff conditions. In , an adaptive spectrum decision scheme is proposed, this scheme adapts its secondary data delivery time with an estimated collision rate in line with spectrum opportunities. The numerical analysis and performance evaluation showed its efficiency compared against the maximum idle‐channel remaining lifetime scheme.…”

Section: Related Workmentioning

confidence: 99%

“…Recently, measurements from the Spectrum Policy Task Force have shown that 85% of radio frequency bands are either partially or completely unused at different given times and geographical areas . Thus, experts are actively working to develop advanced spectrum utilisation techniques and formulate ingenious spectrum policies to enable the usage of the interim unoccupied spectrum bands .…”

Section: Introductionmentioning

confidence: 99%

“…This process can be implemented either in a centralised or distributed approach using a cooperative or non‐cooperative mechanism in multi‐user environments. Different spectrum decision schemes for stochastic networks such as maximum idle‐channel remaining lifetime, probability of channel collision and probability of PU's appearance have been studied in several research works with detailed literatures on spectrum decisions in . However, they have not considered the weighted residual entropy of the idle‐channel remaining lifetime into the decision process to find suitable spectrum holes (idle channels) for secondary data delivery.…”

Section: Introductionmentioning

confidence: 99%

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Entropy‐based opportunistic spectrum access for cognitive radio networks

Pirmoradian

Adigun

Politis

2014

Trans. Emerging Tel. Tech.

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This paper proposes an opportunistic spectrum decision scheme based on the weighted residual entropy concept for cognitive radio networks. The proposed scheme maximum entropy channel access selects appropriate spectrum opportunities based on the usefulness of the idle-channel remaining lifetime estimated through the weighted residual entropy function for the unoccupied channels. The performance of the proposed spectrum decision scheme is evaluated using a wealth of efficiency metrics, namely channel utilisation, channel collision, spectrum handoff rate and collision probability in perfect and imperfect spectrum sensing environments. The probabilities of primary signal detection and false detection are taken into the proposed spectrum hole selection technique. Despite the increasing probability of false detection, simulation results show that this central spectrum decision scheme greatly improves spectrum utilisation when the stated performance metrics were compared with those of known spectrum decision schemes such as random channel access, first-opportunity channel access and maximum remaining lifetime.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Entropy‐based opportunistic spectrum access for cognitive radio networks

Pirmoradian

Adigun

Politis

2014

Trans. Emerging Tel. Tech.

Self Cite

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“…Dynamic resource access can be viewed as opportunistic spectrum access which has attracted more and more concern in cognitive radio. With the increase of multimedia services [1] [2], dynamic resource access is considered to be an effective way to solve the problem of scarcity of resources and get widespread attention [3].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Resource Access Using Graphical Game in Asymmetric Wireless Networks

Li¹,

Tang²,

Zhu³

2013

JNW

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In order to improve the resource utilization in asymmetric wireless networks, a novel dynamic resource access algorithm was presented. As the asymmetry of information and the locality of users' actions in distributed wireless networks, the resource access problem was expressed as a simple graphical game model. Let the graphic topology indicate the internal game structure of the realistic environment. Then the Nash equilibrium was got by minimizing the individual regret instead of the system regret. The proposed algorithm realized efficient resource access through exchanging the active information and regret in the competitive community. Theoretical analysis and simulation results show that the algorithm can converge to a suitable pure strategy Nash equilibrium point quickly with less amount of calculation, avoids conflict effectively, and improves the system capacity and power utilization especially in the condition of insufficient resource

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Adaptive Spectrum Opportunity Access in Cognitive Radio Networks

Cited by 2 publications

References 27 publications

Entropy‐based opportunistic spectrum access for cognitive radio networks

Entropy‐based opportunistic spectrum access for cognitive radio networks

Dynamic Resource Access Using Graphical Game in Asymmetric Wireless Networks

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