Joint Time Allocation for Wireless Energy Harvesting Decode-and-Forward Relay-Based IoT Networks With Rechargeable and Nonrechargeable Batteries

被引:13
作者
Shim, Yeonggyu [1 ,2 ]
Park, Hyuncheol [3 ]
Shin, Wonjae [4 ]
机构
[1] Pusan Natl Univ, Res Inst Comp Informat & Commun, Busan 46241, South Korea
[2] Agcy Def Dev, Daejeon 34186, South Korea
[3] Korea Adv Inst Sci & Technol, Sch Elect Engn, Daejeon 34141, South Korea
[4] Ajou Univ, Dept Elect & Comp Engn, Suwon 16499, South Korea
基金
新加坡国家研究基金会;
关键词
Resource management; Batteries; Relay networks (telecommunications); Information processing; Protocols; Internet of Things; Decode-and-forward (DF); Internet of Things (IoT); simultaneous wireless information and power transfer (SWIPT); time allocation; wireless energy harvesting (EH);
D O I
10.1109/JIOT.2020.3020960
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article considers a one-way decode-and-forward (DF) relay-based Internet-of-Things (IoT) network consisting of a source, a relay, and a destination in wireless energy harvesting (EH) and information transmission (IT) using the time switching-based relaying (TSR) protocol. The one-way DF relay network using the TSR protocol consists of some time slots. This article proposes the time allocation scheme for maximizing the achievable data rate under the total block time constraint. It is assumed that the relay is considered the IoT device used for long periods of time without battery replacement and it is equipped with both nonrechargeable and rechargeable batteries. Based on the supplied power by the nonrechargeable battery, the proposed scheme determines whether or not to harvest energy and operates two alternate time allocation schemes. Since the proposed scheme is based on the closed-form expressions, it provides low complexity. Numerical results show that the achievable data rate of the proposed time allocation scheme is greater than that of the fixed time allocation scheme.
引用
收藏
页码:2792 / 2801
页数:10
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[41]   Joint Relay Selection and Power Allocation for Time-Varying Energy Harvesting-Driven UASNs: A Stratified Reinforcement Learning Approach [J].
Han, Song ;
Li, Luo ;
Li, Xinbin ;
Liu, Zhixin ;
Yan, Lei ;
Zhang, TongWei .
IEEE SENSORS JOURNAL, 2022, 22 (20) :20063-20072
[42]   EH-GPSR: An Energy Harvesting Protocol for IoT-based Wireless Sensor Networks [J].
Khelifi, Manel ;
Lahreche, Ali ;
Grine, Ismail ;
Alioua, Ahmed .
2021 12TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION SYSTEMS (ICICS), 2021, :291-296
[43]   Time Scheduling and Energy Trading for Heterogeneous Wireless-Powered and Backscattering-Based IoT Networks [J].
Nguyen, Ngoc-Tan ;
Nguyen, Diep N. ;
Hoang, Dinh Thai ;
Van Huynh, Nguyen ;
Dutkiewicz, Eryk ;
Nguyen, Nam-Hoang ;
Nguyen, Quoc-Tuan .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (10) :6835-6851
[44]   On the Performance of End-to-End Cooperative NOMA-Based IoT Networks With Wireless Energy Harvesting [J].
Ghosh, Sutanu ;
Al-Dweik, Arafat ;
Alouini, Mohamed-Slim .
IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (18) :16253-16270
[45]   Message-Passing-Based Joint User Association and Time Allocation for Wireless Powered Communication Networks [J].
Lee, Hongju ;
Moon, Jihwan ;
Song, Changick ;
Lee, Sang Hyun ;
Lee, Inkyu .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2022, 21 (01) :34-47
[46]   Reinforcement-Learning-Based Resource Allocation for Energy-Harvesting-Aided D2D Communications in IoT Networks [J].
Omidkar, Atefeh ;
Khalili, Ata ;
Nguyen, Ha H. ;
Shafiei, Hossein .
IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (17) :16521-16531
[47]   Learning-Based Trajectory Design and Time Allocation in UAV-Supported Wireless Powered NOMA-IoT Networks [J].
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Xu, Chen ;
Wu, Runze .
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