TY - GEN
T1 - Throughput Maximization for Energy Harvesting based Relay Cooperative Backscattering Transmission
AU - Wang, Wen Jing
AU - Xu, Kangjun
AU - Zhen, Li
AU - Yu, Keping
AU - Bashir, Ali Kashif
AU - Garg, Sahil
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China (No. 62001381, 61901370), in part by Natural Science Foundation of Shaanxi Province (No.2021JQ-712), the Special Research Project of Education Department of Shaanxi Province (No. 19JK0794), and in part by the Open Fund of the Shaanxi Key Laboratory of Information Communication Network and Security (No. ICNS201801).
Publisher Copyright:
© 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - In this paper, we develop a time allocation strategy that enhances transmission efficiency of small-size Internet of Mobile Things (IoMT) devices by relaying the information backscattered from user. The system works in a slotted fashion, where each transmission slot is divided into two phases. Specifically, in phase one, user backscatters downlink signals from power beacon (PB) and relay harvests the radio frequency (RF) energy from signal backscattered by user and that transmitted by PB. In phase two, relay forwards the decoded information to destination with harvested RF energy. We formulate the optimization problem and develop an optimal time allocation strategy maximizing throughput considering adaptively adjusted backscattering coefficient and battery capacity constraint at relay. We investigate the effect of transmit power and relay location on the throughput for infinite/finite battery capacity scenario, respectively. Numerical results verify that the proposed time allocation strategy outperforms that with fixed backscattering coefficient.
AB - In this paper, we develop a time allocation strategy that enhances transmission efficiency of small-size Internet of Mobile Things (IoMT) devices by relaying the information backscattered from user. The system works in a slotted fashion, where each transmission slot is divided into two phases. Specifically, in phase one, user backscatters downlink signals from power beacon (PB) and relay harvests the radio frequency (RF) energy from signal backscattered by user and that transmitted by PB. In phase two, relay forwards the decoded information to destination with harvested RF energy. We formulate the optimization problem and develop an optimal time allocation strategy maximizing throughput considering adaptively adjusted backscattering coefficient and battery capacity constraint at relay. We investigate the effect of transmit power and relay location on the throughput for infinite/finite battery capacity scenario, respectively. Numerical results verify that the proposed time allocation strategy outperforms that with fixed backscattering coefficient.
UR - http://www.scopus.com/inward/record.url?scp=85112835371&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85112835371&partnerID=8YFLogxK
U2 - 10.1109/ICCWorkshops50388.2021.9473528
DO - 10.1109/ICCWorkshops50388.2021.9473528
M3 - Conference contribution
AN - SCOPUS:85112835371
T3 - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
BT - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021
Y2 - 14 June 2021 through 23 June 2021
ER -