无线电通信技术2024，Vol.50Issue(4)：640-646,7.DOI:10.3969/j.issn.1003-3114.2024.04.004
电力物联网中基于SCMA-MEC的最优功率分配与卸载决策
Optimal Power Allocation and Offloading Decision Based on SCMA-MEC in Power Internet of Things
摘要
Abstract
In Power Internet of Things(PIoT),access from mobile terminals generates a large amount of heterogeneous data,which puts great pressure on communication channel and central storage and computing system,and poses challenges in terms of system stabil-ity and energy consumption.To address with this challenge,a heterogeneous network optimization scheme for Mobile Edge Computing(MEC)based on Sparse Code Multiple Access(SCMA)is proposed.To minimize the overall system overhead,energy consumption and computational resource allocation of devices under resource constraints are considered.First,an algorithm based on optimal power allo-cation for joint random codebook allocation is proposed to minimize the energy consumption of mobile terminals devices.Furthermore,a Pareto Frontier-Multi Objective Whale Optimization Algorithm(PF-MOWOA)for task offloading is designed by constructing a mathe-matical model of a constrained multi-objective optimization problem.Simulation results show that the proposed algorithm has lower total system energy consumption compared to other algorithms under the constraints of energy consumption and delay,and the joint task off-loading optimization algorithm can further reduce the total overhead of the system.关键词
电力物联网/稀疏码多址接入/移动边缘计算/任务卸载/资源分配Key words
PIoT/SCMA/MEC/task offloading/resource allocation分类
信息技术与安全科学引用本文复制引用
闫阳阳,葛文萍,陈娟..电力物联网中基于SCMA-MEC的最优功率分配与卸载决策[J].无线电通信技术,2024,50(4):640-646,7.基金项目
新疆维吾尔自治区自然科学基金(2022D01C426)Natural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01C42) （2022D01C426）
