Open AccessPower optimisation in UAV‐assisted wireless powered cooperative mobile edge computing systems
Author(s) -
Lu Weidang,
Xu Xiaohan,
Ye Qibin,
Li Bo,
Peng Hong,
Hu Su,
Gong Yi
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.1063
Subject(s) - computer science , mobile edge computing , wireless power transfer , wireless , maximum power transfer theorem , relay , power (physics) , enhanced data rates for gsm evolution , real time computing , telecommunications , physics , quantum mechanics
Wireless power transfer (WPT) and mobile edge computing (MEC) are two prospective technologies to enhance the computing power and endurance of mobile devices. Integrating unmanned aerial vehicle (UAV) into wireless powered MEC system, the energy collection efficiency can be effectively improved with the short‐distance line‐of‐sight path power transfer. However, WPT is susceptible to the ‘double near‐far’ effect. Therefore, in this study, the authors study power optimisation in UAV‐assisted wireless powered cooperative MEC system, which utilises the user cooperation to make the mobile device which is closer to the UAV acting as a relay for offloading. They aim to minimise the total transmission energy of the UAV through the joint power optimisation while satisfying the delay and size of the computational task. Simulation results demonstrate the performance of the proposed scheme.