Energy-Efficiency Optimization for D2D Communications Underlaying UAV-Assisted Industrial IoT Networks With SWIPT

• DOI: 10.1109/jiot.2022.3142026
• Publication Date: 2022-01-11T20:43:03Z
• Authors: Zhijie Su; Wanmei Feng; Jie Tang; Zhen Chen; Yuli Fu; Nan Zhao; Kai-Kit Wong
• Keywords: Benchmark (surveying)

The Industrial Internet of Things (IIoT) has been viewed as a typical application for the fifth generation (5G) mobile networks. This article investigates energy efficiency (EE) optimization problem Device-to-Device (D2D) communications underlaying unmanned aerial vehicles (UAVs)-assisted IIoT networks with simultaneous wireless information and power transfer (SWIPT). We aim to maximize EE system while satisfying constraints transmission rate budget. However, designed is nonconvex involving joint UAV's location, beam pattern, control, time scheduling, which difficult tackle directly. To solve this problem, we present UAV location resource allocation algorithm decouple original into several subproblems them sequentially. Specifically, first apply Dinkelbach method transform fraction subtractive-form one propose mulitiobjective evolutionary based on decomposition (MOEA/D)-based optimize pattern. then control using successive convex techniques. Finally, after solving above variables, can be transformed single-variable respect charging time, linear tackled Numerical results verify that significant gain obtained by our proposed compared benchmark schemes.