基于NOMA的车辆边缘计算网络优化策略

doi:10.11959/j.issn.2096-3750.2021.00207

物联网学报 ›› 2021, Vol. 5 ›› Issue (1): 19-26.doi: 10.11959/j.issn.2096-3750.2021.00207

所属专题：边缘计算

• 专题：物联网边缘智能与雾计算 • 上一篇下一篇

基于NOMA的车辆边缘计算网络优化策略

杜剑波¹, 薛哪哪¹, 孙艳¹, 姜静¹, 李树磊², 卢光跃¹

¹ 西安邮电大学陕西省信息通信网络及安全重点实验室，陕西西安 710071
² 天元瑞信通信技术股份有限公司，陕西西安 710121

修回日期:2021-02-03 出版日期:2021-03-30 发布日期:2021-03-01
作者简介:杜剑波（1982- ），女，博士，西安邮电大学讲师，主要研究方向为边缘计算、非正交多址、人工智能等
薛哪哪（1999- ），女，西安邮电大学通信与信息工程学院硕士生，主要研究方向为边缘计算、非正交多址等
孙艳（1996- ），女，西安邮电大学通信与信息工程学院硕士生，主要研究方向为边缘计算、非正交多址等
姜静（1974- ），女，博士，西安邮电大学教授、博士生导师，主要研究方向为无线通信、大规模MIMO等
李树磊（1981- ），男，天元瑞信通信技术股份有限公司总工程师，主要研究方向为移动网络通信、区块链、边缘计算等
卢光跃（1971- ），男，博士，西安邮电大学教授、博士生导师，主要研究方向为认知无线电、携能通信和边缘计算等
基金资助:
陕西省自然科学基金资助项目(2020JQ-844);国家自然科学基金资助项目(61901367);国家自然科学基金资助项目(62001357);国家自然科学基金资助项目(61871321);国家自然科学基金资助项目(61901381);国家自然科学基金资助项目(62071377);陕西省宽带无线技术应用创新团队项目(2017KCT-30-02);国家科技重大专项资助项目(2016ZX03001016)

Optimization strategies in NOMA-based vehicle edge computing network

Jianbo DU¹, Nana XUE¹, Yan SUN¹, Jing JIANG¹, Shulei LI², Guangyue LU¹

¹ Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts and Telecommunications, Xi’an 710071, China
² Tianyuan Ruixin Communication Technology Co.Ltd, Xi’an 710121, China

Revised:2021-02-03 Online:2021-03-30 Published:2021-03-01
Supported by:
The Natural Science Foundation of Shaanxi Province(2020JQ-844);The National Natural Science Foundation of China(61901367);The National Natural Science Foundation of China(62001357);The National Natural Science Foundation of China(61871321);The National Natural Science Foundation of China(61901381);The National Natural Science Foundation of China(62071377);The Science and Technology Innovation Team of Shaanxi Province for Broadband Wireless and Application(2017KCT-30-02);The National Science and Technology Major Project(2016ZX03001016)

摘要/Abstract

摘要：

目前，车载网络正面临着为车辆提供无处不在的连接和大量计算密集型、时延敏感型智能服务的挑战。为了应对这些挑战，非正交多址接入（NOMA, non-orthogonal multiple access）和移动边缘计算（MEC, mobile edge computing）被认为是两种较有前景的技术，它们分别允许多个车辆共享相同的无线资源以及在车辆边缘使用强大的边缘计算资源。在基于 NOMA 的车辆边缘计算网络中，在保证任务处理时延的情况下，提出了任务卸载、用户分簇、计算资源分配和发射功率控制的联合优化问题，使得任务处理成本最小化。由于所提出的问题难以解决，因此将其分解为子问题，并提出了低复杂度和易于实现的方法来解决。仿真结果表明，与其他基准算法相比，该算法在最小化成本方面表现良好。

关键词: 边缘计算, 非正交多址接入, 车联网

Abstract:

Nowadays, vehicular network is confronting the challenges to support ubiquitous connections and vast computation-intensive and delay-sensitive smart service for numerous vehicles.To address these issues, non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) are considered as two promising technologies by letting multiple vehicles to share the same wireless resources, and the powerful edge computing resources were adopted at the edge of vehicular wireless access network respectively.A NOMA-based vehicular edge computing network was studied.Under the condition of guaranteeing task processing delay, the joint optimization problem of task offloading, user clustering, computing resource allocation and transmission power control was proposed to minimize the task processing cost.Since the proposed problem was difficult to solve, it was divided into sub-problems, and a low-complexity and easy-to-implement method was proposed to solve it.The simulation results show that compared with other benchmark algorithms, the proposed algorithm performs well in minimizing costs.

Key words: edge computing, non-orthogonal multiple access, vehicular network

中图分类号:

TN92

杜剑波, 薛哪哪, 孙艳, 姜静, 李树磊, 卢光跃. 基于NOMA的车辆边缘计算网络优化策略[J]. 物联网学报, 2021, 5(1): 19-26.

Jianbo DU, Nana XUE, Yan SUN, Jing JIANG, Shulei LI, Guangyue LU. Optimization strategies in NOMA-based vehicle edge computing network[J]. Chinese Journal on Internet of Things, 2021, 5(1): 19-26.

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基于NOMA的车辆边缘计算网络优化策略

Optimization strategies in NOMA-based vehicle edge computing network

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