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Joint scheduling design in wireless powered MEC IoT networks aided by reconfigurable intelligent surface
Li, Aichen1; Liu, Yang1; Li, Ming1; Wu, Qingqing2; Zhao, Jun3
2021-07-28
Conference Name2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
Source Publication2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
Pages159-164
Conference Date28 July 2021 to 30 July 2021
Conference PlaceXiamen
Abstract

Internet of things (IoT) technology is critical to realize universal connections of everything and pervasive intelligence for the future world. The forthcoming IoT technology will be characterized by two predominant features: energy self-sustainability, which is fueled by the recent thrilling wireless power transfer (WPT) technology, and sufficient computation power capability, which will be empowered by the mobile edge computing (MEC) networking. Very recently a promising technology named reconfigurable intelligent surfaces (RIS) has attracted much attention due to its effective beamforming capability and viable potentials to enhance wireless communication system. In this paper we consider exploiting RIS to enhance the WPT-based MEC IoT networks via boosting its energy transferring and communication efficiency. Specifically, we consider the scheduling design through jointly optimizing the WPT-time allocation, dynamic RIS phase control and all IoT mobile devices' offloading decisions to improve the entire MEC network's computation capability. This problem is very challenging due to its high dimension discrete variable space. Here we adopt a reinforcement learning (RL) based online method, which utilizes a novel double deep Q-network (DDQN) structure to effectively overcome the overestimation issue and outperforms the conventional deep Q-network (DQN) learning methods. Numerical results verify the effectiveness of our proposed algorithm and demonstrate the benefits of introducing RIS to assist the WPT-based MEC network.

KeywordDeep Reinforcement Learning (Drl) Mobile Edge Computing (Mec) Reconfigurable Intelligent Surfaces (Ris) Wireless Power Transfer (Wpt)
DOI10.1109/ICCCWorkshops52231.2021.9538853
URLView the original
Language英語English
Scopus ID2-s2.0-85116447536
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Document TypeConference paper
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Affiliation1.Dalian University of Technology, School of Information and Communication Engineering, China
2.University of Macau, State Key Lab. of Internet of Things for Smart City, Macao
3.Nanyang Technological University, School of Computer Science and Engineering, Singapore
Recommended Citation
GB/T 7714
Li, Aichen,Liu, Yang,Li, Ming,et al. Joint scheduling design in wireless powered MEC IoT networks aided by reconfigurable intelligent surface[C],2021:159-164.
APA Li, Aichen,Liu, Yang,Li, Ming,Wu, Qingqing,&Zhao, Jun.(2021).Joint scheduling design in wireless powered MEC IoT networks aided by reconfigurable intelligent surface.2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021,159-164.
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