Intelligent reflecting surface aided wireless powered mobile edge computing
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...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis-Master by Research |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/164981 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
|---|