Performance enhancement of steady-state Markov analysis for cognitive radio networks via channel reservation

Azaly, Nehal M. El; Badran, Ehab F.; Rizk, Mohamed R. M.; Mokhtar, Mohamed

doi:10.1016/j.aej.2017.08.002

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…A novel fully distributed and self‐organizing swarm intelligence optimization algorithm is proposed in order to achieve the optimal solution and to avoid the conflict among correlated equipment for improvement 27 . El Azaly et al 28 enhance a continuous time Markov chain model to show the best utilization of radio spectrum bands ensuring smooth spectrum handoff.…”

Section: Related Workmentioning

confidence: 99%

Discrete Hughes‐Hartogs optimized dual vector handoff for spectrum management in cognitive radio networks

Devi

Umamaheswari

2021

Int J Communication

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Summary Cognitive radio network (CRN) has occupied rich awareness on amazing potentiality of spectrum utilization for the secondary users. In CRN, effective spectrum management has received more attention by increasing number of communication devices and several techniques have been evolved in recent years. However, efficient spectrum sensing with minimum delay reducing number of spectrum handoffs and maximum throughputs are some of the major challenges to be addressed. In this proposed work, discrete Hughes‐Hartogs optimal and dual vector spectrum management (DHHO‐DVSM) in CRN are used for effective utilization of channel selection. The expected maximization Q channel selection is designed to obtain an efficient idle channels for improved transmission of the secondary user. The optimal channel is attained by the number of idle channels maintained from the Q channel selection list. Based on each SU requests, discrete Hughes‐Hartogs particle swarm optimal channel selection is proposed to find the best channel by computing the fitness function for discrete factor. Finally, dual constraints‐based vector spectrum handoff model is proposed to produce the hyper plane based on the probability conditional factors with the objective of minimizing the number of handoffs for secondary users. The simulation result shows that the proposed method has transparent edges over conventional channel selection models. In addition, results are verified to learn the optimal channel selection with minimal sensing delay, increasing throughput and minimal handoffs. The proposed algorithm DHHO‐DVSM is 22.8% comparatively better than E‐CRNs and 41% improvement than SpecPSO.

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Section: Related Workmentioning

confidence: 99%

Discrete Hughes‐Hartogs optimized dual vector handoff for spectrum management in cognitive radio networks

Devi

Umamaheswari

2021

Int J Communication

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“…Authors in [28] presented a steady state analysis for modelling the behaviour of primary and secondary users in a uni-class primary prioritized conventional CRN. Similarly, authors in [29] proposed a Markov model with channel reservation to improve the spectrum utilization. The performance of the interrupted SUs is improved with reserved channel however, the delay characteristics of the SUs is not well studied.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Efficient Spectrum Handoff in a Multi-Class Hybrid Spectrum Access Cognitive Radio Network Using Markov Modelling

Shakeel

Hussain

Iqbal

et al. 2019

Sensors

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Cognitive radio networks (CRNs) rely on sensing of the licensed spectrum of a primary network to dynamically ascertain underutilized portion of the spectrum, thus affording additional communication opportunities. In a CRN, a single homogeneous spectrum access, such as interweave only deprives the secondary users (SUs) of channel access during handoff, particularly at high primary network traffic. Therefore, providing quality-of-service (QoS) to multi-class SUs with diverse delay requirements during handoff becomes a challenging task. In this paper, we have evolved a Markov-based analytical model to ascertain the gain in non-switching spectrum handoff scheme for multi-class SUs employing hybrid interweave-underlay spectrum access strategy. To satisfy the QoS requirements of the delay-sensitive traffic, we have analyzed the impact of hybrid spectrum access scheme for prioritized multi-class SUs traffic. The results show substantial improvement in spectrum utilization, average system throughput and extended data delivery time compared to conventional CRN using interweave only spectrum access. This demonstrates the suitability of the proposed scheme towards meeting QoS requirements of the delay-sensitive SU traffic while improving the overall performance for delay-tolerant SU traffic as well.

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“…The authors in [20] proposed a static channel reservation scheme for PUs. In [21], a channel reservation scheme is proposed to analyze the impact of arrival and service rates of SUs on their blocking, dropping and hand off probability. The authors in [22] proposed a lowcomplex channel reservation scheme by using one dimensional Markov chain for the enhancement of call level QoS provisioning.…”

Section: Introductionmentioning

confidence: 99%

HBLP: A Hybrid Underlay-Interweave Mode CRN for the Future 5G-Based Internet of Things

Khan

Abbas

et al. 2020

IEEE Access

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Enhancing spectrum utilization efficiency (SUE) to accommodate the multitude of 5G-based IoT devices within the available scarce spectrum has been a pivotal point of research in the current decade. Equipped with interweave and underlay modes, cognitive radio networks (CRNs) are envisioned to be the most promising technology for SUE enhancement. Since the 5G-based IoT is swiftly transforming into a heterogeneous network, hybrid underlay-interweave mode CRNs appear to be the optimal key for SUE enhancement. Besides enhancing SUE, ensuring fairness among secondary users (SUs) to equitably utilize the network's resources in the wake of primary users' (PUs) service emergence has been a critical problem in CRNs. Considering the importance of SUE enhancement, in this paper, we investigate two problems. Firstly, we precisely analyze, in a novel way, the performance of hybrid underlay-interweave mode of CRNs for SUE enhancement from the standpoint of SUs. For this purpose, we propose a hybrid underlay-interweave mode enabled CRN scheme and apply it on a legacy CRN. We model the proposed scheme with continuous time Markov chain and derive closed form expressions for various SUE-related quality of service parameters. The analysis is conducted under dynamic reservation of channels for interrupted users, considering the effects of multi-levels network traffic loads and varying channel failure rates. Secondly, we propose a multi-attribute based fairness driven algorithm for determination and interruption of SUs' services to ensure fairness among services in the network's resources utilization. We evaluate our proposed scheme under both perfect and imperfect spectrum sensing scenarios. The obtained results demonstrate that, as compared to the state-ofthe-art, the proposed scheme significantly enhances SUE while the proposed algorithm achieves a noticeable fairness among SUs' services. INDEX TERMS Cognitive radio networks, dynamic spectrum access, dynamic channel reservation, hybrid underlay-interweave mode, spectrum utilization efficiency.

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Performance enhancement of steady-state Markov analysis for cognitive radio networks via channel reservation

Cited by 9 publications

References 7 publications

Discrete Hughes‐Hartogs optimized dual vector handoff for spectrum management in cognitive radio networks

Discrete Hughes‐Hartogs optimized dual vector handoff for spectrum management in cognitive radio networks

Analysis of Efficient Spectrum Handoff in a Multi-Class Hybrid Spectrum Access Cognitive Radio Network Using Markov Modelling

HBLP: A Hybrid Underlay-Interweave Mode CRN for the Future 5G-Based Internet of Things

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