Intelligent reflecting surface aided wireless powered mobile edge computing

• Main Author: Lu, Yidong
• Other Authors: Jun Zhao
• Format: Thesis-Master by Research
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/164981
• Institution: Nanyang Technological University

As an emerging technology, wireless powered mobile edge computing (WP-MEC) can fulfill the computational energy requirements of massive power-constrained mo bile devices. However, the transmission rate for task offloading and the efficiency of energy transfer is compromised due to hostile wireless connections between mo bile devices and hybrid access point (HAP). We proposed to employ the intelligent reflecting surface (IRS), an emerging technology that can ameliorate wireless con nections, to address this issue. Specifically, we consider jointly optimizing time and energy cost while guaranteeing the energy harvested from the wireless power transfer (WPT) stage can cover the energy expenditure of each mobile device and maintain each device an assigned transmission rate. The minimization task can be formulated into a complicated optimization problem. An iterative algorithm is proposed to minimize the objective function. The numerical results suggest that the time delay and energy consumption can be remarkably decreased by leveraging IRS.