A cluster based cooperative technique for Spectrum Sensing using Rely Factor

Rasheed, Tallataf; Rashdi, Adnan; Akhtar, Ahmad Naeem

doi:10.1109/ibcast.2015.7058562

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…The advantages of CSS can be limited due to noisy reporting channels, which are studied in [19][20][21][22]. To mitigate against this problem, cluster based CSS schemes are studied in [23][24][25]. Effective implementation of security based algorithmic approaches in mobile ad-hoc network and stochastic approaches for dynamic power management in wireless sensor network (WSN) are studied in [26,27].…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, the sum rate was not analyzed as a utilization reporting framework. In [23][24][25]34], the authors propose a cluster-based CSS strategy to maximize an achievable sum rate scheme in the non-error-free environment. However, the sum rate was not analyzed as a utilization reporting framework.…”

Section: Related Workmentioning

confidence: 99%

“…To mitigate against this problem [23][24][25], a cluster based cooperative sensing scheme divides all the SUs into a number of clusters and selects the most favorable SU in each cluster as a cluster head (CH) to report sensing results. This can dramatically lessen the performance deterioration caused by the fading of the wireless channels.…”

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confidence: 99%

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An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things

Miah

Schukat

Barrett

2018

Hum. Cent. Comput. Inf. Sci.

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The cognitive radio relay plays a vital role in cognitive radio networking (CRN), as it can improve the cognitive sum rate, extend the coverage, and improve the spectral efficiency. However, cognitive relay aided CRNs cannot obtain a maximal sum rate, when the existing sensing approach is applied to a CRN. In this paper, we present an enhanced sum rate in the cluster based cognitive radio relay network utilizing a reporting framework in the sequential approach. In this approach a secondary user (SU) extends its sensing time until right before the beginning of its reporting time slot by utilizing the reporting framework. Secondly all the individual measurement results from each relay aided SU are passed on to the corresponding cluster head (CH) through a noisy reporting channel, while the CH with a soft-fusion report is forwarded to the fusion center that provides the final decision using the n-out-of-k-rule. With such extended sensing intervals and amplified reporting, a better sensing performance can be obtained than with a conventional non-sequential approach, therefore making it applicable for the future Internet of Things. In addition, the sum rate of the primary network and CCRRN are also investigated for the utilization reporting framework in the sequential approach with a relay using the n-out-of-k rule. By simulation, we show that the proposed sequential approach with a relay (Lemma 2) provides a significant sum rate gain compared to the conventional non-sequential approach with no relay (Lemma 1) under any condition.

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