Performance analysis of high-traffic cognitive radio communication system using hybrid spectrum access, prediction and monitoring techniques

Thakur, Prabhat; Kumar, Alok; Pandit, Shweta; Singh, Ghanshyam; Satashia, S. N.

doi:10.1007/s11276-016-1440-7

Cited by 34 publications

(14 citation statements)

References 26 publications

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“…Recently, hybrid interweave-underlay spectrum access strategy is being used to improve throughput of the system for a uni-class, non-prioritized SU traffic [18,19,20,21,22]. The initial efforts towards hybrid spectrum access only consider either uni-class SUs without consideration of power constrained data rate or do not considered spectrum handoff performance metrics.…”

Section: Related Workmentioning

confidence: 99%

“…The initial efforts towards hybrid spectrum access only consider either uni-class SUs without consideration of power constrained data rate or do not considered spectrum handoff performance metrics. Authors in [18] analyze the impact of hybrid spectrum access on the overall throughput of the system. The throughput of the system is improved by using the hybrid spectrum access, however, the study is limited to enhancing throughput of a network considering uni-class SU without evaluating the spectrum handoff performance in terms of transmission delay.…”

Section: Related Workmentioning

confidence: 99%

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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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Section: Related Workmentioning

confidence: 99%

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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“…In [15], a hybrid underlay-interweave approach is considered wherein SUs transmit in both the presence and absence of active PUs. In [16], a hybrid scheme is proposed for channel access and channel prediction, with the objective of improving network throughput and transmission delay. The scheme is evaluated under a high traffic CRN.…”

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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“…• Interweave: In this approach, an interference avoidance strategy is followed by interweaving the CRs [6]. The SUs are allowed to use the spectrum band only when PUs are inactive.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks

et al. 2019

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The proliferation of mobile devices and the heterogeneous environment of wireless communications have increased the need for additional spectrum for data transmission. It is not possible to altogether allocate a new band to all networks, which is why fully efficient use of the already available spectrum is the demand of the day. Cognitive radio (CR) technology is a promising solution for efficient spectrum utilization, where CR devices, or secondary users (SUs), can opportunistically exploit white spaces available in the licensed channels. SUs have to immediately vacate the licensed channel and switch to another available channel when they detect the arrival of the incumbent primary user. However, performance for the SU severely degrades if successive channel switching happens. Moreover, taking the channel-switching decisions based on crisp logic is not a suitable approach in the brain-empowered CR networks (CRNs) where sensing information is not only imprecise and inaccurate but also involves a major uncertainty factor. In this paper, we propose a fuzzy logic-based decision support system (FLB-DSS) that jointly deals with channel selection and channel switching to enhance the overall throughput of CRNs. The proposed scheme reduces the SU channel switching rate and makes channel selection more adaptable. The performance of the proposed scheme is evaluated using a Matlab simulator, and a comprehensive comparison study with a baseline scheme is presented. The simulation results are promising in terms of the throughput and the number of handoffs and making our proposed FLB-DSS a good candidate mechanism for SUs while making judicious decisions in the CR environment. INDEX TERMS Cognitive radio network, fuzzy logic, resource allocation, channel selection, handoff rate.

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Performance analysis of high-traffic cognitive radio communication system using hybrid spectrum access, prediction and monitoring techniques

Cited by 34 publications

References 26 publications

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

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

Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks

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