Energy-effective offloading scheme in UAV-assisted C-RAN system

Li, Xingquan, Zhang, Chiya, Zhao, Rujun, He, Chunlong, Zheng, Hongxia and Wang, Kezhi (2021) Energy-effective offloading scheme in UAV-assisted C-RAN system. IEEE Internet of Things Journal. pp. 1-12. ISSN 2372-2541 (In Press)

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Official URL: https://doi.org/10.1109/JIOT.2021.3126290

Abstract

In this paper, we aim to minimize the total power of all the Internet of Things devices (IoTDs) by jointly optimizing user association, computation capacity, transmit power, and the location of unmanned aerial vehicles (UAVs) in an UAV-assisted cloud radio access network (C-RAN). In order to solve this non-convex problem, we propose an effective algorithm by solving four subproblems iteratively. For the user association and the computation capacity subproblems, the non-convex constraints are relaxed and the optimal solutions are obtained. For the transmit power control and the location planning subproblems, successive convex approximation (SCA) technique is used to transform the non-convex constraints into convex ones. Moreover, to obtain the suboptimal solutions, slack variables are also introduced to deal with the feasibility-check problems. The simulation results demonstrate that the proposed algorithm can greatly reduce the total power consumption of IoTDs.

Item Type: Article
Additional Information: Funding information: This work was supported by National Natural Science Foundation of China under Grant 62101161 and 61801302, in part by the Shenzhen Basic Research Program under Grant 20200811192821001 and JCYJ20190808122409660, in part by the Guangdong Basic Research Program under Grant 2019A1515110358, 2021A1515012097, 2020ZDZX1037, 2020ZDZX1021, in part by Shenzhen Stabilization Support Grant 20200809153412001, in part by the open research fund of National Mobile Communications Research Laboratory, Southeast University (No. 2021D16 and No. 2022D02).
Uncontrolled Keywords: UAV-assisted communication, resource allocation, user association, power control, location planning, C-RAN.
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 13 Dec 2021 15:39
Last Modified: 13 Dec 2021 15:45
URI: http://nrl.northumbria.ac.uk/id/eprint/47974

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