Residual Energy Analysis in Cognitive Radios with Energy Harvesting UAV under Reliability and Secrecy Constraints

Khalid, Waqas; Yu, Heejung; Noh, Song

doi:10.3390/s20102998

Cited by 15 publications

(7 citation statements)

References 28 publications

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“…Optimal resource allocation strategies for all SUs are obtained by determining the loop Nash equilibrium and the feedback Nash equilibrium solutions of the proposed model. In [128], a CR-based energy harvesting approach has been used to extend the battery's lifetime for unmanned aerial vehicles (UAVs) under reliability and secrecy constraints. To reduce energy consumption, the energy harvested is maximized and the transmission energy consumption is minimized by solving a formulated optimization problem.…”

Section: Healthcare and Medicalmentioning

confidence: 99%

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A Review on SDR, Spectrum Sensing, and CR-based IoT in Cognitive Radio Networks

Kassri¹,

En‐Nouaary²,

Bah³

et al. 2021

IJACSA

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The inherent scarcity of frequency spectrum, along with the fixed spectrum allocation adopted policy, has led to a dire shortage of this indispensable resource. Furthermore, with the tremendous growth of wireless applications, this problem is intensified as the unlicensed frequency spectrum becomes overcrowded and unable to meet the requirement of emerging radio devices operating at higher data rates. Additionally, the already assigned spectrum is underutilized. That has prompted researchers to look for a way to address spectrum scarcity and enable efficient use of the available spectrum. In this context, Cognitive Radio (CR) technology has been proposed as a potential means to overcome this issue by introducing opportunistic usage to less congested portions of the licensed spectrum. In addition to outlining the fundamentals of Cognitive Radio, including Dynamic Spectrum Access (DSA) paradigms and CR functions, this paper has a three-fold objective: first, providing an overview of Software Defined Radio (SDR), in which the architecture, benefits, and ongoing challenges of SDR are presented; second, giving an extensive review of spectrum sensing, covering sensing types, narrowband and wideband sensing schemes with their pros and cons, Machine Learningbased sensing, and open issues that need to be further addressed in this field; third, exploring the use of Cognitive Radio in the Internet of Things (IoT) while highlighting the crucial contribution of CR in enabling IoT. This Review is elaborated in an informative fashion to help new researchers entering the area of Cognitive Radio Networks (CRN) to easily get involved.

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Section: Healthcare and Medicalmentioning

confidence: 99%

“…The validity of the proposed approach was approved by extensive simulations. In [128], the proposed CR-Based energy management scheme for UAVs has been designed in such a way that the secrecy and reliability of the system are ensured. This is illustrated by considering the scenario for the eavesdroppers.…”

Section: Healthcare and Medicalmentioning

confidence: 99%

A Review on SDR, Spectrum Sensing, and CR-based IoT in Cognitive Radio Networks

Kassri¹,

En‐Nouaary²,

Bah³

et al. 2021

IJACSA

View full text Add to dashboard Cite

show abstract

“…CR based communication for UAV may be useful by utilizing already available spectrum without dedicated channel and increase coverage. Khalid et al [ 12 ] proposed UAV energy management scheme based on CR technology. They developed an analytical model for the connection outage probability, secrecy outage probability, and residual energy.…”

Section: A Brief Review Of Articles In Special Issuementioning

confidence: 99%

Cognitive Radio Networks for Internet of Things and Wireless Sensor Networks

Zikria

2020

Sensors

Self Cite

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Recent innovation, growth, and deployment of internet of things (IoT) networks are changing the daily life of people. 5G networks are widely deployed around the world, and they are important for continuous growth of IoT. The next generation cellular networks and wireless sensor networks (WSN) make the road to the target of the next generation IoT networks. The challenges of the next generation IoT networks remain in reducing the overall network latency and increasing throughput without sacrificing reliability. One feasible alternative is coexistence of networks operating on different frequencies. However, data bandwidth support and spectrum availability are the major challenges. Therefore, cognitive radio networks (CRN) are the best available technology to cater to all these challenges for the co-existence of IoT, WSN, 5G, and beyond-5G networks.

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“…The core requirements, service categories, and enabling technologies of 6G networks present an interesting future of wireless communications [7], [8]. To derive the actualization of 6G networks, massive MIMO [9], artificial intelligence (AI) [10], efficient spectrum sharing [11], full-duplex (FD) communication [12], and reconfigurable intelligent surface (RIS) [13] are the potential key enabling technologies and solutions. In particular, RIS is a revolutionizing technology which reconfigures the wireless propagation environment smartly via software-controlled reflections.…”

Section: Introductionmentioning

confidence: 99%

RIS-Aided Physical Layer Security With Full-Duplex Jamming in Underlay D2D Networks

Khalid

et al. 2021

IEEE Access

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This paper investigates the physical layer security and data transmission for the underlay device-to-device (D2D) networks, and considers a combination of the reconfigurable intelligent surface (RIS) and full-duplex (FD) jamming receiver for the robustness and security enhancements of the system. In the demonstrated spectrum sharing setup, the total power of the D2D networks is conceived to the transmitter and receiver to transmit a private message and emit the artificial noise (AN) signals. To prevent information leakage, a beamforming design is presented for a multi-antenna FD D2D receiver in order to suppress and inject the AN signals in the direction of legitimate users and eavesdropper, respectively. The statistical characterization of end-to-end RIS-assisted wireless channels is presented, and the achievable ergodic secrecy rate of the system is derived in novel approximate expressions. The numerical and simulation results confirm the accuracy and effectiveness of the proposed analytical framework. The results demonstrate an optimal selection of the D2D power allocations for different number of reflecting elements in terms of achievable ergodic secrecy rates of the system. INDEX TERMS Underlay D2D networks, reconfigurable intelligent surface, full-duplex jamming, ergodic secrecy rates.

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Residual Energy Analysis in Cognitive Radios with Energy Harvesting UAV under Reliability and Secrecy Constraints

Cited by 15 publications

References 28 publications

A Review on SDR, Spectrum Sensing, and CR-based IoT in Cognitive Radio Networks

A Review on SDR, Spectrum Sensing, and CR-based IoT in Cognitive Radio Networks

Cognitive Radio Networks for Internet of Things and Wireless Sensor Networks

RIS-Aided Physical Layer Security With Full-Duplex Jamming in Underlay D2D Networks

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