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Future Wireless Power Transfer and Communications

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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 11431

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Special Issue Editor

Prof. Dr. Kyoung-Jae Lee

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Guest Editor

Department of Electronics and Control Engineering, Hanbat National University, Daejeon 34158, Korea
Interests: wireless communications; communication theory; MIMO; IoT networks; wireless powered communications

Special Issue Information

Dear colleagues,

Wireless power transfer (WPT) technologies have been considered as promising solutions for supplying power to mobile devices. In particular, radio frequency (RF) based WPT technologies have recently attracted a great amount of research interest, since the WPT can remove the last wire of mobile devices and provide real mobility for Internet of Things (IoT) environments. Since RF signals are simultaneously exploited for wireless communications, i.e., wireless information transfer (WIT), a joint optimization of WPT and WIT should be carefully designed.

This Special Issue will focus on emerging joint technologies of WPT and communications. Potential topics include but are not limited to the following:

Simultaneous wireless power and information transfer (SWIPT);
Wireless powered communication networks (WPCN);
WPT hardware testbed and implementation;
Safety issues for WPT;
Low power communication protocol for WPT;
Far-field RF energy transfer circuits and antennas;
Near-field energy transfer technologies.

Prof. Kyoung-Jae Lee
Guest Editor

Manuscript Submission Information

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Keywords

Wireless power transfer
Wireless communications
Energy efficient communications
RF energy harvesting

Published Papers (4 papers)

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Research

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19 pages, 2010 KiB

Open AccessArticle

3D Spatial Reuse of Multi-Millimeter-Wave Spectra by Ultra-Dense In-Building Small Cells for Spectral and Energy Efficiencies of Future 6G Mobile Networks

by Rony Kumer Saha

Energies 2020, 13(7), 1748; https://doi.org/10.3390/en13071748 - 6 Apr 2020

Cited by 13 | Viewed by 2437

Abstract

The sixth-generation (6G) mobile networks are expected to operate at a higher frequency to achieve a wider bandwidth and to enhance the frequency reuse efficiency for improved spectrum utilization. In this regard, three-dimensional (3D) spatial reuse of millimeter-wave (mmWave) spectra by in-building small cells is considered an effective technique. In contrast to previous works exploiting microwave spectra, in this paper, we present a technique for the 3D spatial reuse of 28 and 60 GHz mmWave spectra by in-building small cells, each enabled with dual transceivers operating at 28 and 60 GHz bands, to enhance frequency reuse efficiency and achieve the expected spectral efficiency (SE) and energy efficiency (EE) requirements for 6G mobile networks. In doing so, we first present an analytical model for the 28 GHz mmWave spectrum to characterize co-channel interference (CCI) and deduce a minimum distance between co-channel small cells at both intra- and inter-floor levels in a multistory building. Using minimum distances at both intra- and inter-floor levels, we find the optimal 3D cluster size for small cells and define the corresponding 3D spatial reuse factor, such that the entire 28 and 60 GHz spectra can be reused by each 3D cluster in each building. Considering a system architecture where outdoor macrocells and picocells operate in the 2 GHz microwave spectrum, we derive system-level average capacity, SE, and EE values, as well as develop an algorithm for the proposed technique. With extensive numerical and simulation results, we show the impacts of 3D spatial reuse of multi-mmWave spectra by small cells in each building and the number of buildings per macrocell on the average SE and EE performances. Finally, it is shown that the proposed technique can satisfy the expected average SE and EE requirements for 6G mobile networks. Full article

(This article belongs to the Special Issue Future Wireless Power Transfer and Communications)

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17 pages, 2413 KiB

Open AccessArticle

A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm

by Anahita Bagheri, Abbas Erfanian and Adib Abrishamifar

Energies 2020, 13(2), 383; https://doi.org/10.3390/en13020383 - 13 Jan 2020

Cited by 7 | Viewed by 2195

Abstract

This paper presents a systematic methodology for the optimal design of wireless power transfer (WPT) systems. To design a WPT for a specific application, the values of coil geometric parameters and the number of resonators should be chosen such that an objective function is maximized while satisfying all the design constraints. The conventional methodologies, which are based on cyclic coordinate optimization, are not comprehensive and efficient methods. This paper presents a design methodology based on the genetic algorithm (GA). The optimization method has been applied to designing different WPTs with series and parallel connections of load and different design constraints. Moreover, the number of resonators is considered as the design parameters. In addition, WPTs with parallel and series connections of load are compared from different aspects. The results of calculation, simulation and measurements demonstrate that the 2-coil WPT can be optimized to achieve maximum efficiency compared to the previously reported 2-coil and multi-coil WPTs. In a fabricated 2-coil configuration, a power transfer efficiency (PTE) of 82.7% and a power delivered to the load (PDL) of 173.89 mW are achieved. Full article

(This article belongs to the Special Issue Future Wireless Power Transfer and Communications)

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17 pages, 1389 KiB

Open AccessArticle

Improving Performance of Far Users in Cognitive Radio: Exploiting NOMA and Wireless Power Transfer

by Minh-Sang Van Nguyen, Dinh-Thuan Do and Miroslav Voznak

Energies 2019, 12(11), 2206; https://doi.org/10.3390/en12112206 - 10 Jun 2019

Cited by 5 | Viewed by 2686

Abstract

In this paper, we examine non-orthogonal multiple access (NOMA) and relay selection strategy to benefit extra advantage from traditional cognitive radio (CR) relaying systems. The most important requirement to prolong lifetime of such network is employing energy harvesting in the relay to address network with limited power constraint. In particular, we study such energy harvesting CR-NOMA using amplify-and-forward (AF) scheme to improve performance far NOMA users. To further address such problem, two schemes are investigated in term of number of selected relays. To further examine system performance, the outage performance needs to be studied for such wireless powered CR-NOMA network over Rayleigh channels. The accurate expressions for the outage probability are derived to perform outage comparison of primary network and secondary network. The analytical results show clearly that position of these nodes, transmit signal to noise ratio (SNR) and power allocation coefficients result in varying outage performance. As main observation, performance gap between primary and secondary destination is decided by both power allocation factors and selection mode of single relay or multiple relays. Numerical studies were conducted to verify our derivations. Full article

(This article belongs to the Special Issue Future Wireless Power Transfer and Communications)

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Review

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20 pages, 1241 KiB

Open AccessReview

A Review of Cognitive Radio Smart Grid Communication Infrastructure Systems

by Daisy Nkele Molokomme, Chabalala S. Chabalala and Pitshou N. Bokoro

Energies 2020, 13(12), 3245; https://doi.org/10.3390/en13123245 - 23 Jun 2020

Cited by 23 | Viewed by 3068

Abstract

The cognitive smart grid (SG) communication paradigm aims to mitigate quality of service (QoS) issues in obsolete communication architecture associated with the conventional electrical grid. This paradigm entails the integration of advanced information and communication technologies (ICTs) into power grids, enabling a two-way flow of information. However, due to the exponential increase in wireless applications and services, also driven by the deployment of the Internet of Things (IoT) smart devices, SG communication systems are expected to handle large volumes of data. As a result, the operation of SG networks is confronted with the major challenge of managing and processing data in a reliable and secure manner. The existing works in the literature proposed architectures with the objective to mitigate the underlying QoS issues such as latency, bandwidth, data congestion, energy efficiency, etc. In addition, a variety of communication technologies have been analyzed for their capacity to support stringent QoS requirements for diverse SGs environments. This notwithstanding, a standard architecture designed to mitigate the aforementioned issues for SG networks remains a work-in-progress. The main objective of this paper is to investigate the emerging technologies such as cognitive radio networks (CRNs) as part of the Fifth-Generation (5G) mobile technology for reliable communication in SG networks. Furthermore, a hybrid architecture based on the combination of fog computing and cloud computing is proposed. In this architecture, real-time latency-sensitive information is given high priority, with fog edge based servers deployed in close proximity to home area networks (HANs) for preprocessing and analyzing of information collected from smart IoT devices. In comparison to the recent works in the literature, which are mainly based on CRNs and 5G separately, the proposed architecture in this paper incorporates the combination of CRNs and 5G for reliable and efficient communication in SG networks. Full article

(This article belongs to the Special Issue Future Wireless Power Transfer and Communications)

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