On reliability in the performance analysis of cognitive radio networks

Khan, Abd Ullah; Tanveer, Muhammad; Khan, Wali Ullah

doi:10.1016/j.jksuci.2021.10.010

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…In our work in [22], channel reservation is exploited to comprehensively analyze tradeoffs in various performance indicators. Similarly, in our other work presented in [23], reliability analysis of the work proposed in [12] is carried out. However, the literature mentioned above overlooks the prospective multi-level users' heterogeneousness in QoS requirements and prioritization associated with CR-IoT networks.…”

Section: B Related Workmentioning

confidence: 99%

Toward Spectrum Efficiency and Reliability for Heterogeneous Users in CR-Enabled Social Internet of Things

Khan,

Tanveer,

Shin

et al. 2023

IEEE Access

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Cognitive radio enabled social internet of things (CR-SIoT) can potentially revolutionize the existing networking paradigm by enabling heterogeneous IoT users to communicate socially like friends using the existing limited spectrum. However, satisfying the varying requirements of heterogeneous users in CR-SIoT remains a key challenge. Therefore, we propose a novel extended scheme, called ES, targeted at CR-SIoT with multi-priority and heterogeneous users. The scheme heuristically utilizes the secondary users' (SUs') heterogeneousness with respect to their priorities, methodically tackles SUs' dropping, and follows efficient approach for channel access. Moreover, the scheme considers the impact of receiver's accessibility for rendering realistic analysis. Aside from this, we propose a spectrum reservation algorithm for increasing spectrum utilization. Leveraging Markov chain, we model the network and derive expressions for capacity, blocking probability (BP), spectrum utilization, and handoff probability (HP). We evaluate the scheme under various users' arrival and service rates, and observe 74% improvement in capacity, 26% in spectrum utilization, 88% in HP, 43% in BP, and significant fairness in service availing among users, compared to the state-of-the-art. Additionally, we gain valuable insights by studying the inherent tradeoff between BP and service retainability resulting from the spectrum reservation.

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Section: B Related Workmentioning

confidence: 99%

Toward Spectrum Efficiency and Reliability for Heterogeneous Users in CR-Enabled Social Internet of Things

Khan,

Tanveer,

Shin

et al. 2023

IEEE Access

Self Cite

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“…Modern communication networks, including Cognitive Radio [2,3], as well as the reliability of the communication link between the users, are based on several Qualityof-Service (QoS) indicators, such as connection availability, channel availability, service retainability, and/or network unserviceable probability. These are evaluated under a variety of channel failure and PU arrival rates, allowing for "on-line" monitoring of the network viability.…”

Section: Related Workmentioning

confidence: 99%

“…Still, these improvements depend on other, random factors, such as the channel or the receiver's availability (which may be in different state-out of reach, busy, etc.). The authors of [2,3] conclude that another important KPI of these networks' reliability, which should be included in the QoS study, should be the receiver's availability. Of course, this represents a very promising advance, but not all networks are presently at this stage of development.…”

Section: Related Workmentioning

confidence: 99%

Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction

Minea

Minea²,

Semenescu

2023

Sensors

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At present, IoT and intelligent applications are developed on a large scale. However, these types of new applications require stable wireless connectivity with sensors, based on several standards of communication, such as ZigBee, LoRA, nRF, Bluetooth, or cellular (LTE, 5G, etc.). The continuous expansion of these networks and services also comes with the requirement of a stable level of service, which makes the task of maintenance operators more difficult. Therefore, in this research, an integrated solution for the management of preventive maintenance is proposed, employing software-defined sensing for hardware components, applications, and client satisfaction. A specific algorithm for monitoring the levels of services was developed, and an integrated instrument to assist the management of preventive maintenance was proposed, which are based on the network of future states prediction. A case study was also investigated for smart city applications to verify the expandability and flexibility of the approach. The purpose of this research is to improve the efficiency and response time of the preventive maintenance, helping to rapidly recover the required levels of service, thus increasing the resilience of complex systems.

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Dependability-Based Analysis for Ultra-reliable Communication in Heterogeneous Traffic Cognitive Radio Networks with Spectrum Reservation

Goel

Kulshrestha

2022

Wireless Pers Commun

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On reliability in the performance analysis of cognitive radio networks

Cited by 4 publications

References 9 publications

Toward Spectrum Efficiency and Reliability for Heterogeneous Users in CR-Enabled Social Internet of Things

Toward Spectrum Efficiency and Reliability for Heterogeneous Users in CR-Enabled Social Internet of Things

Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction

Dependability-Based Analysis for Ultra-reliable Communication in Heterogeneous Traffic Cognitive Radio Networks with Spectrum Reservation

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