Proactive Spectrum Sharing for SWIPT in MIMO Cognitive Radio Systems Using Antenna Switching Technique

Benkhelifa, Fatma; Tourki, Kamel; Alouini, Mohamed‐Slim

doi:10.1109/tgcn.2017.2696976

Cited by 13 publications

(5 citation statements)

References 27 publications

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“…with = P c σ 2 . By utilizing the concepts of total probability theorem [44], the other probability term P 2 in (11) can be obtained, using (7), as…”

Section: Performance Analysis Of Primary Network a Outage Probabilitymentioning

confidence: 99%

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Performance Analysis of Piece-Wise Linear Model of Energy Harvesting-Based Multiuser Overlay Spectrum Sharing Networks

Solanki

Upadhyay

Costa

et al. 2020

IEEE Open J. Commun. Soc.

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In this article, we investigate the performance of a piece-wise linear model of energy harvesting-based multiuser overlay spectrum sharing system. Herein, an energy-constrained secondary node acts as a cooperative relay to assist the information transmission between a primary transmitter and multiple primary receivers. In return for the cooperation, the secondary node enjoys access to the primary user's spectrum for its own information transfer. Specifically, by employing a time-switching based receiver, the secondary node harvests energy from the received radio-frequency signal of primary transmitter during a dedicated energy harvesting phase. In the subsequent information transfer phase, the secondary node splits the harvested power to forward the primary data as well as its own information intended for another secondary user. We analyze the impact of decoding primary's information at the secondary receiver on the performance of secondary network. Importantly, we propose an improved energy harvesting-based relaying scheme which makes an efficient use of available degrees of freedom and thereby enhances the performance of both primary and secondary networks significantly. For this analytical framework, we derive the expressions of outage probability for primary and secondary networks. Numerical and simulation results are obtained to extract various useful insights and to validate our theoretical developments.INDEX TERMS Cooperative relaying, non-linear energy harvesting, outage probability, performance analysis, spectrum sharing, simultaneous wireless information and power transfer (SWIPT).

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“…with = P c σ 2 . By utilizing the concepts of total probability theorem [44], the other probability term P 2 in (11) can be obtained, using (7), as…”

Section: Performance Analysis Of Primary Network a Outage Probabilitymentioning

confidence: 99%

“…For instance, TS protocol performs better than the PS protocol in low signal-to-noiseratio (SNR) regime while PS protocol outperforms its TS counterpart in high-SNR region [6]. An antenna switching based scheme has also been proposed in [7] for the multiple-antenna systems.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Piece-Wise Linear Model of Energy Harvesting-Based Multiuser Overlay Spectrum Sharing Networks

Solanki

Upadhyay

Costa

et al. 2020

IEEE Open J. Commun. Soc.

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“…Figure 16 clarifies the antenna switching architecture. The work presented in [ 113 ] aims to show that the antenna switching in the transmitter and receiver side leads to a win-win situation.…”

Section: Semi-passive Systemsmentioning

confidence: 99%

Challenges in Resource-Constrained IoT Devices: Energy and Communication as Critical Success Factors for Future IoT Deployment

Pereira

Correia

Pinho

et al. 2020

Sensors

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Internet of Things (IoT) has been developing to become a free exchange of useful information between multiple real-world devices. Already spread all over the world in the most varied forms and applications, IoT devices need to overcome a series of challenges to respond to the new requirements and demands. The main focus of this manuscript is to establish good practices for the design of IoT devices (i.e., smart devices) with a focus on two main design challenges: power and connectivity. It groups IoT devices in passive, semi-passive, and active, giving details on multiple research topics. Backscatter communication, Wireless Power Transfer (WPT), Energy Harvesting (EH), chipless devices, Simultaneous Wireless Information and Power Transfer (SWIPT), and Wake-Up Radio (WUR) are some examples of the technologies that will be explored in this work.

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“…Internet of ings (IoT) is an emerging technique that can provide intelligent information exchange opportunity for smart devices in the future communication scenarios and the beyond 5G networks [1,2]. With the development of IoT, energy efficiency and spectrum efficiency have been two essential concerns due to the rapidly growing number of IoT devices [3,4]. Since the technique of IoT spectrum sharing is able to make better use of the spectrum resource, many experts and scholars have a deep study on it then apply to IoT systems [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Energy Harvesting and Information Transmission Mode Design for Cooperative EH-Abled IoT Applications in beyond 5G Networks

Gao

Zhang

et al. 2020

Wireless Communications and Mobile Computing

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Energy harvesting (EH) technology is considered to be a promising approach to provide enough energy for energy-constrained Internet of Things (IoT). In this paper, we propose an energy harvesting and information transmission mode for the spectrum sharing system with cooperative EH-abled IoT applications in beyond 5G networks. Different from most existing IoT spectrum-sharing research studies, in our system, both primary user (PU) and IoT devices (IDs) collect energy for their information transmission. In addition, for all IDs, they should realize two communication functions: working as relays to help the information transfer process of PU and completing their own information transmission. We analytically derive exact expressions for the throughput of the primary system and IoT system and then formulate two objective functions. It is easy to see that power splitting ratio, dynamic EH ratio, power sharing ratio, and relay selection should be optimized to get the best performance for different communication circumstances. Actually, it is a hybrid NP-hard problem to optimize these parameters and traditional algorithms cannot solve it well. Therefore, a novel algorithm-quantum whale optimization algorithm (QWOA) is proposed to obtain the best performance. Simulation results show the good performance of QWOA in different simulation scenarios.

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Proactive Spectrum Sharing for SWIPT in MIMO Cognitive Radio Systems Using Antenna Switching Technique

Cited by 13 publications

References 27 publications

Performance Analysis of Piece-Wise Linear Model of Energy Harvesting-Based Multiuser Overlay Spectrum Sharing Networks

Performance Analysis of Piece-Wise Linear Model of Energy Harvesting-Based Multiuser Overlay Spectrum Sharing Networks

Challenges in Resource-Constrained IoT Devices: Energy and Communication as Critical Success Factors for Future IoT Deployment

Energy Harvesting and Information Transmission Mode Design for Cooperative EH-Abled IoT Applications in beyond 5G Networks

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