Optimization of Energy Consumption in the MEC-Assisted Multi-User FD-SWIPT System

Jiafei Fu,Jiamin Li,Jiangang Wen,Hao Chen,Jingyu Hua,Weidang Lu

doi:10.1109/access.2020.2969467

Abstract

That alleviating the heavy computing task, improving spectral efficiency and prolonging battery lifetime have been the key design challenges in Internet of Things (IoT) and intelligent connected vehicles (ICV). This paper studies the optimization of communication, computation and energy resource to minimize the energy consumption in the mobile terminal, where some superior technologies are included, such as Full-Duplex (FD), Simultaneous Wireless Information and Power Transfer (SWIPT), Mobile-Edge Computing (MEC) and Multi-input Multi-output (MIMO). In this model, the MEC-assisted Base station (BS) works in FD mode, then it can transmit and receive signals in the same frequency and time. Moreover, the mobile devices offload some computation tasks to the BS and complete local computations at the same time. Besides, the mobile device harvests the energy from the BS to support its energy consumption. And, our target is to minimize the energy consumption of mobile devices. Since the problem is non-convex, we propose an iterative solving algorithm including a multi-step optimization. First, we obtain the closed-form solution of the CPU frequency. And then, we transform the remain problem into a convex one to solve it by the interior point algorithm. Finally, we obtain the approximate solution by multiple iterations. Simulation results show that the proposed algorithm is superior to the compared schemes.

Highlights

With the explosion of data traffic [1], mobile devices, such as intelligent connected vehicles (ICV) in the vehicular communication network, need to handle more computation tasks, their computation capability are insufficient [2], [3]
We design a novel multi-user FD system assisted with Mobile-Edge Computing (MEC) and Simultaneous Wireless Information and Power Transfer (SWIPT) technologies, in which the mobile terminal is connected with public cellular networks
It demonstrates that the proposed algorithm converges within a few iteration numbers under varying computation task sizes, which demonstrates the effectiveness of the proposed algorithm

Summary

INTRODUCTION

With the explosion of data traffic [1], mobile devices, such as ICVs in the vehicular communication network, need to handle more computation tasks, their computation capability are insufficient [2], [3]. J. Fu et al.: Optimization of Energy Consumption in the MEC-Assisted Multi-User FD-SWIPT System environment [30], [31]. Et al proposed a MEC design framework in the SWIPT-based multi-user system, aiming to minimize the total energy consumption. Wen et al [40] formulated an optimization problem to investigate the minimal system energy consumption in MECassisted single-user SWIPT network with relays. We design a novel multi-user FD system assisted with MEC and SWIPT technologies, in which the mobile terminal is connected with public cellular networks. We can decompose the nonlinear non-convex optimization problem into linear optimization sub-problems, which greatly simplifies the solving process and is beneficial for real-time applications

SYSTEM MODEL

COMMUNICATION OF MOBILE TERMINALS

COMMUNICATION OF BS

LOCAL COMPUTING OPTIMIZATION

NUMERICAL RESULTS

CONCLUSION