基于WPT-MEC的动态自适应卸载方法

doi:10.11959/j.issn.2096-3750.2022.00291

Abstract

Abstract:

For the dynamic fading time-varying channel state information, a dynamic adaptive offloading (RLDO) method based on WPT-MEC was proposed to solve the task offloading and resource optimization problems for multiple users by combining wireless power transmission (WPT) technology and mobile edge computing (MEC).The wireless power transmission technology can provide energy to wireless end-user (WEU) and effectively alleviate the problem of limited energy supply from conventional batteries.To maximize the resource utilization, a wireless powered MEC network model was designed where the energy collected by the wireless end-user from the wireless access point (AP) was stored in a rechargeable battery, and then this energy was used for task computation or task offloading.The approach performed real-time offloading decisions through a fully connected deep neural networks (DNN) deployed in the MEC server.A fully binary offloading strategy was used for the offloading decision.Simulation results show that the computation rate of the method can still be maintained above 92% in a multi-user time-varying wireless channel-oriented environment.Compared with the basic method, it has great advantages in improving the calculation rate, reducing the delay and energy consumption，and effectively reduces computational complexity.

Key words: channel state information, mobile edge computing, wireless power transmission, deep neural network, dynamic adaptive offloading

CLC Number:

TP391

Lin SU, Xiaochao DANG, Zhanjun HAO, Chunrui RU, Xu SHANG. Dynamic adaptive offloading method based on WPT-MEC[J]. Chinese Journal on Internet of Things, 2022, 6(4): 128-138.

Figures/Tables 10

References 31

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参数	数值
信道带宽/MHz	5
本地服务器计算能力/（cycle·s^-1）	10⁸
MEC服务器计算能力/（cycle·s^-1）	3×10⁸
载波频率/MHz	915
天线增益	3
路径衰减指数	2.8
信道噪声功率/W	10^-10

Dynamic adaptive offloading method based on WPT-MEC

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