Wireless Information and Power Transfer

14Wireless‐Powered Mobile Edge Computing Systems

Feng Wang¹, Jie Xu¹*, Xin Wang², and Shuguang Cui^3,4

¹School of Information Engineering, Guangdong University of Technology, China

²Key Laboratory for Information Science of Electromagnetic Waves (MoE), the Shanghai Institute for Advanced Communication and Data Science, Department of Communication Science and Engineering, Fudan University, China

³Department of Electrical and Computer Engineering, University of California, Davis, USA

⁴Shenzhen Research Institute of Big Data, China

14.1 Introduction

The recent advancement of the Internet of Things (IoT) has motivated various new applications (such as autonomous driving, virtual reality, and tele‐surgery) to provide real‐time machine‐to‐machine and machine‐to‐human interactions [2]. These emerging applications critically rely on the real‐time communication and computation of massive wireless devices (e.g., sensors). As extensive existing works focus on improving their communication performances [2], how to provide these devices with enhanced computational capability is a crucial but challenging task to be tackled, especially when they are of small size and low power. To resolve this issue, mobile edge computing (MEC) has emerged as a promising technique by providing cloud‐like computing at the edge of mobile networks via integrating MEC servers at wireless access points (APs) and base stations (BSs) [4]. With MEC, resource‐limited wireless devices can offload some or all of their ...