Joint Optimization of Energy-Harvesting-Powered Two-Way Relaying D2D Communication for IoT: A Rate-Energy Efficiency Tradeoff

Device-to-device (D2D) communication is a key enabling technology to facilely realizing the Internet of Things (IoT) due to its spectral and energy efficiencies features. Exploiting the physical-layer network coding (PNC) and energy harvesting (EH) technology, two-way relaying (TWR) D2D communicatio...

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Vydáno v:	IEEE internet of things journal Ročník 7; číslo 12; s. 11735 - 11752
Hlavní autoři:	Salim, Mahmoud M., Wang, Desheng, El Atty Elsayed, Hussein Abd, Liu, Yingzhuang, Elaziz, Mohamed Abd
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.12.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Cellular communication Cellular networks Communication Device-to-device (D2D) communication Device-to-device communication Energy efficiency Energy harvesting energy harvesting (EH) Internet of Things Internet of Things (IoT) Mixed integer Natural resources network coding Nonlinear programming Particle swarm optimization power allocation (PA) Power management power splitting (PS) Quality of service Radio frequency Radio signals relay selection Relaying Relays Resource allocation resource allocation (RA) Resource management Tradeoffs Transmitters
ISSN:	2327-4662, 2327-4662
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Abstract	Device-to-device (D2D) communication is a key enabling technology to facilely realizing the Internet of Things (IoT) due to its spectral and energy efficiencies features. Exploiting the physical-layer network coding (PNC) and energy harvesting (EH) technology, two-way relaying (TWR) D2D communication can achieve significant performance for IoT in terms of data rate and energy efficiency (EE). In this article, we investigate the EH-aided TWR D2D communication sharing the uplink (UL) spectrum of the traditional cellular networks. We assume that the D2D transmitters, receivers, and participating relays can collect renewable energy (RE) from natural resources. Also, the relays are considered to be powered by radio-frequency (RF) signals utilizing the power splitting (PS) protocol. Subject to the Quality of Service (QoS), power, subchannel assignment, EH, and maximum practical power constraints, two nonconvex mixed-integer nonlinear programming (MINLP) problems are formulated. The two problems provide a tradeoff on either maximizing the TWR D2D link (TDL) rate or its EE depending on the IoT application needs. Based on the particle swarm optimization (PSO) algorithm, we propose the rate and EE tradeoff EH-based algorithm (REET-EH) to deal with these problems. The proposed algorithm can optimally perform the resource allocation (RA), PS factors determination, power allocation (PA), and relay selection processes. The numerical results investigate the performance of the REET-EH algorithm and show its consistency over several parameters. Also, the results illustrate that our proposed algorithm improves the system performance compared with other state-of-the-art algorithms with regard to the D2D link rate and EE.
AbstractList	Device-to-device (D2D) communication is a key enabling technology to facilely realizing the Internet of Things (IoT) due to its spectral and energy efficiencies features. Exploiting the physical-layer network coding (PNC) and energy harvesting (EH) technology, two-way relaying (TWR) D2D communication can achieve significant performance for IoT in terms of data rate and energy efficiency (EE). In this article, we investigate the EH-aided TWR D2D communication sharing the uplink (UL) spectrum of the traditional cellular networks. We assume that the D2D transmitters, receivers, and participating relays can collect renewable energy (RE) from natural resources. Also, the relays are considered to be powered by radio-frequency (RF) signals utilizing the power splitting (PS) protocol. Subject to the Quality of Service (QoS), power, subchannel assignment, EH, and maximum practical power constraints, two nonconvex mixed-integer nonlinear programming (MINLP) problems are formulated. The two problems provide a tradeoff on either maximizing the TWR D2D link (TDL) rate or its EE depending on the IoT application needs. Based on the particle swarm optimization (PSO) algorithm, we propose the rate and EE tradeoff EH-based algorithm (REET-EH) to deal with these problems. The proposed algorithm can optimally perform the resource allocation (RA), PS factors determination, power allocation (PA), and relay selection processes. The numerical results investigate the performance of the REET-EH algorithm and show its consistency over several parameters. Also, the results illustrate that our proposed algorithm improves the system performance compared with other state-of-the-art algorithms with regard to the D2D link rate and EE.
Author	Liu, Yingzhuang Salim, Mahmoud M. Elaziz, Mohamed Abd Wang, Desheng El Atty Elsayed, Hussein Abd
Author_xml	– sequence: 1 givenname: Mahmoud M. orcidid: 0000-0001-9295-7907 surname: Salim fullname: Salim, Mahmoud M. email: msalim@hust.edu.cn organization: School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China – sequence: 2 givenname: Desheng orcidid: 0000-0001-8288-2657 surname: Wang fullname: Wang, Desheng email: dswang@hust.edu.cn organization: School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China – sequence: 3 givenname: Hussein Abd surname: El Atty Elsayed fullname: El Atty Elsayed, Hussein Abd email: helsayed@eng.asu.edu.eg organization: Department of Electronics and Electrical Communications Engineering, Ain Shams University, Cairo, Egypt – sequence: 4 givenname: Yingzhuang orcidid: 0000-0002-9336-1643 surname: Liu fullname: Liu, Yingzhuang email: liuyz@hust.edu.cn organization: School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China – sequence: 5 givenname: Mohamed Abd orcidid: 0000-0002-7682-6269 surname: Elaziz fullname: Elaziz, Mohamed Abd email: abd_el_aziz_m@yahoo.com organization: Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt
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SubjectTerms	Algorithms Cellular communication Cellular networks Communication Device-to-device (D2D) communication Device-to-device communication Energy efficiency Energy harvesting energy harvesting (EH) Internet of Things Internet of Things (IoT) Mixed integer Natural resources network coding Nonlinear programming Particle swarm optimization power allocation (PA) Power management power splitting (PS) Quality of service Radio frequency Radio signals relay selection Relaying Relays Resource allocation resource allocation (RA) Resource management Tradeoffs Transmitters
Title	Joint Optimization of Energy-Harvesting-Powered Two-Way Relaying D2D Communication for IoT: A Rate-Energy Efficiency Tradeoff
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