Sensing-Throughput Tradeoff for Superior Selective Reporting-Based Spectrum Sensing in Energy Harvesting HCRNs

Kishore, Rajalekshmi; Gurugopinath, Sanjeev; Muhaidat, Sami; Sofotasios, Paschalis C.; Dobre, Octavia A.; Al-Dhahir, Naofal

doi:10.1109/tccn.2019.2906915

Cited by 10 publications

(6 citation statements)

References 50 publications

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“…anks to the advantage of e cient radio spectrum utilization, the spectrum-sharing paradigm (SSP) has lately acquired signi cant interest from both industry and academia [1]. According to the SSP, unlicensed users (UUs) are granted opportunities to send their message in the spectrum of licensed users (LUs) [2].…”

Section: Introductionmentioning

confidence: 99%

Security Analysis for Underlay Cognitive Network with Energy-Scavenging Capable Relay over Nakagami-m Fading Channels

Ho-Van

Do-Dac

2019

Wireless Communications and Mobile Computing

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This study suggests an energy-scavenging capable unlicensed relay not only to retain communications between an unlicensed sender-recipient pair in underlay cognitive networks but also to secure these communications against eavesdropping of malicious users. Message-securing capability of such a network configuration is assessed through secrecy outage probability (SOP). For this purpose, a precise closed-form formula of the SOP accounting for interference power restriction, Nakagami-m fading, and maximum transmit power restriction is first proposed. Then, the proposed formula is validated by computer simulations. Ultimately, various results are supplied to contrive that the relay position, the time percentage, and the power percentage of the energy-scavenging technique should be appropriately chosen for achieving the best security performance. Moreover, the SOP decreases with lower severity fading level and is constant in the range of high maximum interference power or high maximum transmit power.

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Section: Introductionmentioning

confidence: 99%

Security Analysis for Underlay Cognitive Network with Energy-Scavenging Capable Relay over Nakagami-m Fading Channels

Ho-Van

Do-Dac

2019

Wireless Communications and Mobile Computing

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“…Relevant challenge: Determining the suitable balance between accuracy in low SNR and speed, depending on the specific application scenario, is highly recommended for CEUDs. As has been explored in the literature [134]- [136], the spectrum sensing accuracy is tied to the signal measurement duration and the PU's traffic patterns. These need to be taken into account in the design of CEUDs for increased adaptability to the radio environment.…”

Section: Spectrum Sensing-based Cognitive Radio For 6g Wireless Communicationsmentioning

confidence: 99%

Probabilistic Spectrum Sensing Based on Feature Detection for 6G Cognitive Radio: A Survey

et al. 2021

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With the advent of Sixth Generation (6G) telecommunication systems already envisioned, increased effort is made to further develop current communication technologies, so they can be incorporated together with the novel ones, to deliver uninterrupted and satisfactory service for any application in every location on the ground, underwater, in the air, or in space. One such technology is Cognitive Radio (CR) which has received much attention due to its potential for increase of utilization, especially in the bands below 6 GHz. The main enabler for CR is spectrum sensing because it provides the opportunity for dynamic assessment of the radio environment to identify unused channels. This functionality has been the object of many research works for that very reason. In spite of this, the provision of accurate and fast spectrum characterization in time, frequency and space has proven to be a non-trivial task. This paper presents a detailed review of probabilistic spectrum sensing methods classified by the feature they extract from the received signal samples, to provide accurate detection of the primary user (PU) signal. The main design characteristics (such as probability of detection, robustness to noise and fading, signal/noise model assumptions, and computational complexity), strengths and weaknesses for each type are also summarized. Based on current concepts for 6G networks and applications, a framework for human-centric cognition-based wireless access is presented, which specifies the role of spectrum sensing-based CR in future networks.INDEX TERMS 6G, cognitive radio, feature detection, human-centric wireless access, Internet of Things, probabilistic spectrum sensing, wireless communications.

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“…e target detection probability of CSS is set as Q d to ensure the final sensing performance, and the local target detection probability P d can be derived as (1/N) . From (14), (27), and (28), the relationship between Q f and Q d can be given as…”

Section: Optimization Of Se In Multiradian Cssmentioning

confidence: 99%

“…However, if more time is consumed in CSS process, the transmission time will be reduced and the throughput may not be increased accordingly. erefore, the sensing time should be optimized to maximize the secondary link throughput [14].…”

Section: Introductionmentioning

confidence: 99%

Spectrum Efficiency Optimization for UAV-Based Cognitive Radio Network

Zhang

et al. 2020

Mathematical Problems in Engineering

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Unmanned aerial vehicle- (UAV-) assisted communication has great potential to provide on-demand wireless services and improve the outdoor link throughput. In this paper, a UAV-based cognitive radio network (CRN) is investigated in which the UAV works as a secondary user (SU). Considering the overlay spectrum sensing mode, the UAV can operate on the licensed spectrum bands of primary user (PU) only when PU is idle. In each working frame structure, both sensing time slot and transmission time slot are analysed in radians. Specifically, our objective is to maximize the spectrum efficiency (SE) of the UAV by jointly optimizing the sensing radian and the number of radians. For the single-radian and multiradian schemes, the dichotomy and alternative iterative optimization (AIO) algorithm are proposed to solve the SE optimization problem. Simulation results show that the proposed multiradian cooperative spectrum sensing (CSS) scheme can achieve better performance on ensuring the quality-of-service (QoS) of the PU, and it can significantly enhance the SE of the UAV especially in the severe channel environments.

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Sensing-Throughput Tradeoff for Superior Selective Reporting-Based Spectrum Sensing in Energy Harvesting HCRNs

Cited by 10 publications

References 50 publications

Security Analysis for Underlay Cognitive Network with Energy-Scavenging Capable Relay over Nakagami-m Fading Channels

Security Analysis for Underlay Cognitive Network with Energy-Scavenging Capable Relay over Nakagami-m Fading Channels

Probabilistic Spectrum Sensing Based on Feature Detection for 6G Cognitive Radio: A Survey

Spectrum Efficiency Optimization for UAV-Based Cognitive Radio Network

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