报告题目：Wireless Powered Mobile Edge Computing Systems: Resource
Allocation for User Cooperation Channels
报告人： Prof. Kai-Kit Wong
University College London
We consider a wireless powered mobile edge computing (MEC) system,where the access point (AP) integrated with a MEC server broadcasts energy to two users who have independent computation-intensive tasks and are distinguished by distance. A harvest-then-offloading protocol is adopted. During the offloading period,the near user helps to relay the far user’s information before offloading its own input data to resist the doubly near-far effect. From a global view, we aim to minimize AP’s transmit energy, and verifies that it is equivalent to minimize AP’s transmit power which can be optimally solved by a two-phase method. In the first phase, the optimal power and time allocation of a sum-energy-saving maximization (SESM) problem with a given energy transmit power is obtained by leveraging the lagrange method, where the optimal policy is proved to have a threshold-based structure with respect to a derived offloading priority indicator, which yields priorities for users according to their channel gains and local computing energy consumption. In the second phase, the optimal minimum energy transmit power is obtained by a bisection search method, and we prove that both two users earn no extra energy savings when the minimum energy transmit power is used. The numerical results show that our proposed computation offloading scheme with user cooperation have obvious performance improvement compared to the baselines.
Kai-Kit Wong received the BEng, the MPhil, and the PhD degrees, all in Electrical and Electronic Engineering, from the Hong Kong University of Science and Technology, Hong Kong, in 1996, 1998, and 2001, respectively. e is Professor of Wireless Communications at University College London, United Kingdom. Prior to this, he took appointments at the University of Hull, UK and the University of Hong Kong, and also visiting positions at Alcatel-Lucent, Holmdel, US and the Smart Antenna Research Group at Stanford University. His current research interests center around game-theoretic cognitive radio networks, cooperative communications, physical-layer security, massive MIMO and energy-harvesting wireless communications.
Dr Wong is Fellow of IEEE and IET, and is Senior Editor of IEEE Communications Letters and IEEE Wireless Communications Letters, and also serves in several other editorial boards.