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Robust Energy-Efficient Transmission for Wireless-Powered D2D Communication Networks

Authors
Zhang, JingZhang, YanxiaXiang, LinSun, YanNg, Derrick Wing KwanJo, Minho
Issue Date
8월-2021
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Device-to-device communication; Resource management; Cellular networks; Optimization; Transceivers; Information processing; Array signal processing; Convex optimization; D2D communication; energy efficiency; wireless power transfer
Citation
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.70, no.8, pp.7951 - 7965
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume
70
Number
8
Start Page
7951
End Page
7965
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/136890
DOI
10.1109/TVT.2021.3095626
ISSN
0018-9545
Abstract
This paper considers optimal joint time, frequency, and power allocation for energy-efficient device-to-device (D2D) communications in an overlay cellular network, where multiple D2D transmitters communicate with their corresponding D2D receivers while utilizing the energy harvested from a cellular base station (BS). Due to channel estimation error and feedback delays, the channel state information (CSI) available at the transmitters is usually imperfect, which can significantly deteriorate the energy efficiency (EE) of the considered system. To mitigate the impact of imperfect CSI, we formulate a non-convex robust optimization problem for the maximization of the EE (in bits/Joule) of the system while ensuring quality of service (QoS) requirements on the minimum data rata and the minimum amount of harvested energy for cellular and D2D users, respectively. We reveal that the optimal energy-efficient D2D transmission should exhaust all the harvested energy of each D2D transmitter. Exploiting this fact, we propose an efficient iterative algorithm for obtaining the optimal solution. To strike a balance between performance and computational complexity, we further propose a low-complexity suboptimal algorithm. Simulation results show that compared with several baseline schemes, both the proposed optimal and suboptimal algorithms can significantly improve the EE of wireless-powered D2D communications under imperfect CSI. Moreover, the proposed suboptimal algorithm is close-to-optimal when the number of cellular users are small or the channel estimation error is large.
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