This paper studies an energy-efficient (EE) design for wireless powered mobile edge computing (MEC) system. We introduce a new EE performance metric called computation energy efficiency (CEE), which is defined as the total computation bits (achieved by both local computing and offloading) per energy consumption. Specifically, we study a CEE maximization problem for the wireless powered MEC system, which is non-convex and thus cannot be solved by standard convex optimization techniques. To optimally solve the problem, we divide it into its inner problem and outer problem. Although the inner problem is non-convex, we derive its optimal solution in a closed-form. Then, based on the solution of the inner problem, we optimally solve the outer problem by using the Dinkelbach method. Simulation results show the effectiveness of our proposed scheme in terms of CEE performance and convergence speed.
|Title of host publication||2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2019 Sept|
|Event||90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States|
Duration: 2019 Sept 22 → 2019 Sept 25
|Name||IEEE Vehicular Technology Conference|
|Conference||90th IEEE Vehicular Technology Conference, VTC 2019 Fall|
|Period||19/9/22 → 19/9/25|
Bibliographical noteFunding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2019R1A2C1009826).
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics