RF Wireless Power Transfer: Regreening Future Networks

Tran, Ha-Vu; Kaddoum, Georges

doi:10.1109/mpot.2017.2749118

Cited by 37 publications

(30 citation statements)

References 9 publications

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“…EH techniques are typically intermittent and uncontrollable, limiting their application to noncritical cases. Radio signals used to carry energy over the air presents a controllable energy replenishing opportunity, making the concept of simultaneous wireless information and power transfer (SWIPT) a trend [133][134][135]. The ratio of device output power to the input power gives the harvesting efficiency.…”

Section: Energy Supplymentioning

confidence: 99%

Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Ogbebor

Imoize

Atayero

2020

Wireless Communications and Mobile Computing

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The projected rise in wireless communication traffic has necessitated the advancement of energy-efficient (EE) techniques for the design of wireless communication systems, given the high operating costs of conventional wireless cellular networks, and the scarcity of energy resources in low-power applications. The objective of this paper is to examine the paradigm shifts in EE approaches in recent times by reviewing traditional approaches to EE, analyzing recent trends, and identifying future challenges and opportunities. Considering the current energy concerns, nodes in emerging wireless networks range from limited-energy nodes (LENs) to high-energy nodes (HENs) with entirely different constraints in either case. In view of these extremes, this paper examines the principles behind energy-efficient wireless communication network design. We then present a broad taxonomy that tracks the areas of impact of these techniques in the network. We specifically discuss the preponderance of prediction-based energy-efficient techniques and their limits, and then discuss the trends in renewable energy supply systems for future networks. Finally, we recommend more context-specific energy-efficient research efforts and cross-vendor collaborations to push the frontiers of energy efficiency in the design of wireless communication networks.

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Section: Energy Supplymentioning

confidence: 99%

Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Ogbebor

Imoize

Atayero

2020

Wireless Communications and Mobile Computing

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“…More specifically, the lifetime of mobile devices is expected to be 10-fold longer, while the overall network power consumption should not exceed 10 percent of the current usage [2], [8]. To cope with these expectations, energy harvesting (EH), wireless power transfer (WPT), and simultaneous wireless information and power transfer (SWIPT) can be considered as primary solutions [2], [8]- [11]. Particularly, SWIPT, when properly optimized, can result in significant gains in terms of spectral efficiency, time delay, energy consumption, and interference management, by superposing information and power transfer [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Ultra-Small Cell Networks With Collaborative RF and Lightwave Power Transfer

Tran

Kaddoum

Diamantoulakis

et al. 2019

IEEE Trans. Commun.

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This paper investigates a hybrid radio frequency (RF)/visible light communication (VLC) ultra-small cell network consisting of multiple optical angle-diversity transmitters, one multi-antenna RF access point (AP), and multiple terminal devices. In the network, the optical transmitters play the primary role and are responsible for delivering information and power over the visible light, while the RF AP acts as a complementary power transfer system. Thus, we propose a novel collaborative RF and lightwave resource allocation scheme for hybrid RF/VLC ultra-small cell networks. The proposed scheme aims to maximize the communication quality-of-service provided by the VLC under a constraint of total RF and light energy harvesting performance, while keeping illumination constant and ensuring health safety. This scheme leads to the formulation of two optimization problems that correspond to the resource allocation at the optical transmitters and the RF AP. Both problems are optimally solved by appropriate algorithms. Moreover, we propose a closed-form suboptimal solution with high accuracy to tackle the optical transmitters' resource allocation problem, as well as an efficient semi-decentralized method. Finally, simulation results illustrate the achievable performance of the investigated system and the effectiveness of the proposed solutions.

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“…Extensive research work has been already carried out all around the world in the domain of GT [3][4] [5][6] and [7]. In [7], authors emphasized on how GT networks are attracting an increasing attention by researchers in GT domain.…”

Section: Introductionmentioning

confidence: 99%

Energy Aware Wireless System Based Software Defined Radio

Salman¹,

Balatiah²,

Masri

et al. 2019

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

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Development of green telecommunication systems is already being considered highly attractive by standard bodies and recently is attracting research attention. While most of the research focuses on modeling and simulation, in this work we implement a lab setup to test an energy aware wireless system based on software defined radio and solar energy power system. In addition, we proposed an energy aware adaptive modulation algorithm that considers the state of charge of the solar energy batteries before setting up the modulation order. Moreover, the algorithm adapts to user preferences between the connectivity mode and the quality mode.

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RF Wireless Power Transfer: Regreening Future Networks

Cited by 37 publications

References 9 publications

Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Ultra-Small Cell Networks With Collaborative RF and Lightwave Power Transfer

Energy Aware Wireless System Based Software Defined Radio

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