Energy-Spectrum Efficiency Trade-Off in Energy Harvesting Cooperative Cognitive Radio Networks

Chatterjee, Subhankar; Maity, Santi P.; Acharya, Tamaghna

doi:10.1109/tccn.2019.2903503

Cited by 42 publications

(30 citation statements)

References 22 publications

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“…Energy efficiency in CR has also been covered widely in the literature. For instance, [34] has presented an energyharvesting-based CR technique that trade-off both energy efficiency and spectrum efficiency to achieve high benefit from CR technology. Leveraging CR, the authors in [35] presented a cooperation mechanism between secondary base stations (SBSs) and primary BSs (PBSs) to reduce power consumption of both BSs and to increase spectrum efficiency.…”

Section: A Related Workmentioning

confidence: 99%

“…While the above-mentioned research studies (i.e. [34]- [37] have presented useful mechanisms and techniques to increase the energy efficiency of CR processes and networks, these studies have not considered the security aspect in their communication method, and assumed that all CR-enabled devices (i.e. SUs) are equipped with unlimited power resource, where it is affordable for all of them to participate in the CR process.…”

Section: A Related Workmentioning

confidence: 99%

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A Secure and Energy-Aware Approach For Cognitive Radio Communications

Khaled

Ahmad

Habibi

et al. 2020

IEEE Open J. Commun. Soc.

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The cognitive radio (CR) technique has revealed a novel way of utilizing the precious radio spectrum via allowing unlicensed users to opportunistically access unutilized licensed bands. Using such a technique enables agile and flexible access to the radio spectrum and can resolve the spectrum-scarcity problem and maximize spectrum efficiency. However, two major impediments have been limiting the widespread adoption of cognitive radio technology. The software-defined radio technology, which is the enabling technology for the CR technique, is power-hungry and this raises a major concern for battery-constrained devices such as smart phones and laptops. Secondly, the opportunistic and open nature of the CR can lead to major security concerns about the data being sent and how safe it is. In this paper, we introduce an energy-and-security-aware CR-based communication approach that alleviates the power consumption of the CR technique and enhances its security measures according to the confidentiality level of the data being sent. Furthermore, the proposed approach takes into account user-related factors, such as the users battery level and users data type, and network-related factors, such as the number of unutilized bands and vulnerability level and then models the research question as a constrained optimization problem. Considering the time complexity of the optimum solution, we also propose a heuristic solution. We examine the proposed solution against existing solutions, and our obtained results show that the proposed approach can save energy consumption up to 18%, increase user throughput up to 20%, and achieve better spectrum utilization, up to 98%. Our proposed admission approach has the potential to open a new research direction towards safer and greener cognitive radio techniques. Index Terms-Cognitive radio, next generation wireless networks, green communications, cognitive radio security issues, software defined radio.

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Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

A Secure and Energy-Aware Approach For Cognitive Radio Communications

Khaled

Ahmad

Habibi

et al. 2020

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

show abstract

“…Both energy and spectral efficiencies should be the key objectives for the next-generation wireless systems. As of late, substantial researches have been conducted for exploring new spectral efficient techniques [1]. Cognitive Radio (CR) was introduced as an enabling technology for dynamic spectrum access.…”

Section: Introductionmentioning

confidence: 99%

Double Threshold Weighted Energy Detection for Asynchronous PU Activities in the Presence of Noise Uncertainty

2020

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Cognitive Heterogeneous Network (CHN) is a network that provides heterogeneous services on a cognitive radio basis. The existence of such heterogeneous services introduces a syndrome of concurrent problems. Handling each problem separately may result in more consequences. This paper aims to mitigate the combined effects of noise uncertainty and asynchronous primary user occurrence within the sensing interval of the secondary user in cognitive heterogeneous network. The paper proposes a double threshold energy detection method based on unequal scale sampling criteria. An analytic formula is deduced for both thresholds employing the power scaling criteria. Simulation results show a complete agreement with the performance expectations in terms of increased probability of detection while keeping the false alarm probability within the required limits, which is guaranteed by plotting the ROC curves. Moreover, an optimal threshold is formulated to minimize the overall detection errors, that led to further enhancements in performance as illustrated also via simulations.

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“…The rapid development and timely technological advancement in wireless communication services have led to a fast increase in demand for spectrum resources by both secondary users (SUs) and primary users (PUs) [1]. However, a task force of the Federal Communication Commission (FCC) was formed to conduct a study that showed a scarcity of spectrum resources, and even the available ones were already under license to be used by other communication operators [2].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, these disadvantages led us to come with novel contributions of our paper which rely on the design of a DDRA model on cluster CSS in HSS strategy under the power allocation scheme, optimal energy consumption (OEC), and reliable throughput. The energy optimization problem involves several power constraints, as can be shown in (1).…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Under Double Deck Relay Assistance on Cluster Cooperative Spectrum Sensing in Hybrid Spectrum Sharing

et al. 2020

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Rapid growth in demand for spectrum resources and technology expansion in wireless communication systems such as satellite communication networks and upcoming 5G networks has led us to investigate the best cognitive radio network scheme towards achievements of energy efficiency in wireless communication networks for cooperative spectrum sensing. In this paper, we introduce a doubledeck cluster cooperative relay assistance model in hybrid spectrum sharing for cognitive radio networks. This proposed model enables the attainment of energy efficiency by optimizing cooperative secondary users in their respective cluster groups. According to the design of this model, we apply the power allocation scheme under mathematical analysis based on its power constraints. Normalized energy consumptions and amplifying gains are achieved and assessed for both network scenarios when cognitive relays are used and not used in the network. Simulation results show that there is a good performance on the energy efficiency of our proposed scheme compared to a traditional scheme.

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Energy-Spectrum Efficiency Trade-Off in Energy Harvesting Cooperative Cognitive Radio Networks

Cited by 42 publications

References 22 publications

A Secure and Energy-Aware Approach For Cognitive Radio Communications

A Secure and Energy-Aware Approach For Cognitive Radio Communications

Double Threshold Weighted Energy Detection for Asynchronous PU Activities in the Presence of Noise Uncertainty

Energy Efficiency Under Double Deck Relay Assistance on Cluster Cooperative Spectrum Sensing in Hybrid Spectrum Sharing

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