Outage Analysis of Energy-Harvesting-Based Relay-Assisted Random Underlay Cognitive Radio Networks With Multihop Primary Transmissions

Amodu, Oluwatosin Ahmed; Othman, Мohamed; Noordin, Nor Kamariah; Ahmad, Idawaty

doi:10.1109/jsyst.2020.3011040

Cited by 5 publications

(5 citation statements)

References 63 publications

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“…The scheme incorporates the simultaneous activation of multiple links between the secondary source (SS) and secondary relay (SR) nodes. In [24], they developed a framework for the outage probability of energy harvesting for underlay CRN. The framework facilitates the data transfer among SUs for N-hop primary transmission.…”

Section: A Relay-assisted Cognitive Radio Networkmentioning

confidence: 99%

Multiple Description Coding for Enhancing Outage and Video Performance Over Relay-Assisted Cognitive Radio Networks

et al. 2022

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Multimedia content delivery, such as video transmission over wireless networks, imposes significant challenges include spectrum capacity and packet losses. The cognitive radio (CR) technology is developed to solve the spectrum issue, while multiple description coding (MDC) is one of the promising source coding techniques to alleviate packet loss problems and exploit the benefit of path diversity. The source information was split into several descriptions in MDC, then transmitted over a network with multiple paths. The quality of the received data increases with the number of descriptions received at the receiver. In this paper, the proposed system comprises of relay-assisted cognitive radio network using the MDC technique for video transmission. In the simulations, the outage performance of the MDC scheme over two networks, which were relay-assisted network and non-relay network, were compared. Then, the outage probability was used to estimate the video quality, peak signal to noise ratio (PSNR) of the received video. The results obtained show the benefits of the relay assisted networks by 9% improvement on average outage performance over the non-relay network. Furthermore, the video performance improved by an average of 9% in PSNR compared to the non-relay system. INDEX TERMSCognitive radio, cognitive radio networks, H.264/AVC, multiple description coding (MDC), outage performance, interweave, peak signal to noise ratio (PSNR), relay.

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Section: A Relay-assisted Cognitive Radio Networkmentioning

confidence: 99%

Multiple Description Coding for Enhancing Outage and Video Performance Over Relay-Assisted Cognitive Radio Networks

et al. 2022

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“…Particularly, another approach (adapted from [33] for outage derivation) is presented to derive the optimal relay selection range which minimizes the OP 3 . This work also differs from [34] that investigates multi-hop primary transmissions without IC using the relay selection region model. Expressions for the total secondary OP in this paper are derived using the optimal relay selection range.…”

Section: Related Workmentioning

confidence: 99%

“…Similar to [2], [31], we consider that each relay is equipped with an RF power conversion circuit. Although non-linear models are being recently studied and considered closer to practice [51], [52], following the same lines with research on cognitive relay networks using SG [2], [34], [53], this paper considers the well-used linear EH model (see [26], [32], [54]- [56]). This is due to its tractability and analytical convenience for the SG-based analysis.…”

Section: Energy Harvesting Success Probabilitymentioning

confidence: 99%

Outage Minimization of Energy Harvesting-Based Relay-Assisted Random Underlay Cognitive Radio Networks With Interference Cancellation

et al. 2021

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This paper incorporates interference cancellation in the outage analysis of a wireless energy harvesting cognitive relay network. Based on an interference threshold, primary receivers are assumed to be able to cancel a fraction of the strongest interferers in the primary network which often dominates the total interference. To achieve this, the coefficient of cancellation is adapted into the analysis to reduce the level of interference. The rationale is to improve the successful transmission probability of the primary network by cancelling interference at its receivers. Interestingly, this reduces the overhead incurred by the secondary network to meet up with the primary outage constraint. In this work, the optimal relay selection range is derived and deployed to minimize the secondary outage probability. Analytical results show that this approach can be used to significantly reduce the secondary outage probability which in turn improves the network performance. However, this is at the cost of reducing the energy harvesting success probability of the relays within the secondary network.INDEX TERMS cognitive relay networks, decode and forward, energy harvesting, interference cancellation, optimal relay selection range, outage probability, stochastic geometry.

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“…In cognitive radio network, security is employed in physical layer which retrieves the characteristics of fading channel of the network to control eavesdropper's wire-tapping [9]. Moreover, providing security to energy harvesting cognitive radio network (EHCRNs) ensures highly protected communication and also reduces shortage of radio spectrum and implies better power supply solution with high efficiency for energy transmission with high speed and high degree of safety by choosing proper fading channel [10]. On Comparing Rayleigh Fading model with Nakagami-m fading channel, performance level of Nagakami-m fading channel becomes more resilient and it can be adopted for any circulation of environment [11].…”

Section: Introductionmentioning

confidence: 99%

Performance Investigation on Energy Harvesting In Cognitive Radio Network Derived From Black Widow Optimization Technique

et al. 2024

Preprint

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The process of evolution in the computation methods used in the energy harvesting techniques in MISO cognitive radio networks is thoroughly studied. It involves two users the licensed User (primary user) and the Non-licensed (secondary user). The hybrid base station (HBS) is the network involves with both the PU and SU. Secondary user consists of multiple antennas which are used to harvest energy from hybrid base station. Nakagami-m fading channel is used to transmit the data in uplink and downlink. Asymptotic formula is used to derive signal to noise ratio and also average system error probability and ergodic capacity which could be formulated using the closed form expression. In this paper, black widow optimization technique is used to find fitness value of population. Moreover, black widow method is used to minimize outage probability and also in identifying the optimum secondary user transmission power. Black widow optimization works on the principle of the evolution methodology of the black widow spider and its mating behaviours. This meta heuristic algorithm is used to validate the mathematical analysis.

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Outage Analysis of Energy-Harvesting-Based Relay-Assisted Random Underlay Cognitive Radio Networks With Multihop Primary Transmissions

Cited by 5 publications

References 63 publications

Multiple Description Coding for Enhancing Outage and Video Performance Over Relay-Assisted Cognitive Radio Networks

Multiple Description Coding for Enhancing Outage and Video Performance Over Relay-Assisted Cognitive Radio Networks

Outage Minimization of Energy Harvesting-Based Relay-Assisted Random Underlay Cognitive Radio Networks With Interference Cancellation

Performance Investigation on Energy Harvesting In Cognitive Radio Network Derived From Black Widow Optimization Technique

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