Abstract
Energy-efficient computation is an inevitable trend for mobile edge computing (MEC) networks. However, resource allocation strategies for maximizing the computation efficiency have not been fully investigated. In this paper a computation efficiency maximization problem is formulated in the wireless-powered MEC network under a practical non-linear energy harvesting model. The energy harvesting time, the local computing frequency, the offtoading time, and power are all jointly optimized to maximize the computation efficiency under the max-min fairness criterion. The problem is non-convex and challenging to solve. An iterative algorithm is proposed to solve this problem. Simulation results show that our proposed resource allocation scheme outperforms the benchmark schemes in terms of the computation efficiency and verify the efficiency of our proposed algorithm. A tradeoff is elucidated between the achievable computation efficiency and the computation bits.
| Original language | English |
|---|---|
| Article number | 8647509 |
| Journal | Proceedings - IEEE Global Communications Conference, GLOBECOM |
| DOIs | |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates Duration: 9 Dec 2018 → 13 Dec 2018 |
Keywords
- Computation efficiency
- edge computing
- fairness
- non-linear energy harvesting model
- resource allocation
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Hardware and Architecture
- Signal Processing
