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

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. INDEX TERMS Mobile-edge computing, simultaneous wireless information and power transfer, multi-input multi-output, full-duplex, multi-step iteration, vehicular communications.

Multi-Access Edge Computing (MEC) Based on MIMO: A Survey

“…However, the offloading and charging processes cannot be carried out simultaneously. The single BS, multi-user and FD system is studied in [78], and the task is completed jointly by the user and the BS. The energy obtained from the BS is used to complete the local calculation.…”

“…Its advantage is that even if the ground infrastructure is damaged, satellites can still provide communication services [82]. Although the optical fiber link is replaced by a satellite-AP link to meet the real-world requirements, the scenario settings of [78,79] are basically the same.…”

“…Zeng et al in [15] also consider delay only but minimize the delay of the user who has the largest delay among all users to ensure the communication quality of all users. Huang et al in [26] and Feng et al in [35] set the same objective function as [15] under energy consumption and computing resource constraints to ensure the fairness among users, while other studies only consider energy consumption, including [14,48,50,67,78]. The five papers mentioned above only regard minimizing the total energy consumption of users as the goal.…”

Energy-efficient computation offloading and resource allocation in SWIPT-based MEC Networks

“…For F LC i andF LC , KKT is used to solve it in this paper. According to the three constraints of P5a.1 and P5a.2, the Lagrangian function L 1 F (F LC i ) and L 2 F (F LC i ) can be written as (23) and (24).…”

“…This framework makes UE no longer worry about energy. A MEC framework is proposed in [23], which uses an iterative algorithm to minimize the uplink energy consumption in partial offload mode. In [24], the SWIPT-MEC network is equipped with Multiple-Input Multiple-Output (MIMO) and FD technologies, and jointly optimize the uplink and downlink to minimize energy consumption.…”