Abstract
By allowing a mobile device to offload computation- intensive tasks to a base station, mobile edge computing (MEC) is a promising solution for saving the mobile device's energy. In real applications, the offloading may span multiple fading blocks. In this paper, we investigate energy-efficient offloading over multiple fading blocks with random channel gains. An optimization problem is formulated, to find out how much data should be offloaded such that the mobile device's energy consumption is minimal. Although the formulated optimization problem is non-convex, we prove that the objective function of the problem is piecewise convex, and accordingly develop an optimal solution for the problem. Numerical results verify the correctness of our findings and the effectiveness of our proposed method.
| Original language | English |
|---|---|
| Article number | 9014035 |
| Journal | Proceedings - IEEE Global Communications Conference, GLOBECOM |
| DOIs | |
| State | Published - 2019 |
| Externally published | Yes |
| Event | 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States Duration: 9 Dec 2019 → 13 Dec 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Fading
- Mobile computation offloading
- Mobile edge computing
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