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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
- 物联网学报 2021年5卷第1期 页码：19-26
- 作者机构：
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
- 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" ]
- 基金信息：陕西省自然科学基金资助项目;The Natural Science Foundation of Shaanxi Province(2020JQ-844);国家自然科学基金资助项目;The National Natural Science Foundation of China(61901367);国家自然科学基金资助项目;The National Natural Science Foundation of China(62001357);国家自然科学基金资助项目;The National Natural Science Foundation of China(61871321);国家自然科学基金资助项目;The National Natural Science Foundation of China(61901381);国家自然科学基金资助项目;The National Natural Science Foundation of China(62071377);陕西省宽带无线技术应用创新团队项目;The Science and Technology Innovation Team of Shaanxi Province for Broadband Wireless and Application(2017KCT-30-02);国家科技重大专项资助项目;The National Science and Technology Major Project(2016ZX03001016)
DOI：10.11959/j.issn.2096-3750.2021.00207
中图分类号： TN92纸质出版日期：2021-03-30，
网络出版日期：2021-03，
- 稿件说明：
移动端阅览
杜剑波, 薛哪哪, 孙艳, 等. 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, et al. Optimization strategies in NOMA-based vehicle edge computing network. [J]. Chinese journal on internet of things, 2021, 5(1): 19-26.
杜剑波, 薛哪哪, 孙艳, 等. 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. DOI： 10.11959/j.issn.2096-3750.2021.00207.
JIANBO DU, NANA XUE, YAN SUN, et al. Optimization strategies in NOMA-based vehicle edge computing network. [J]. Chinese journal on internet of things, 2021, 5(1): 19-26. DOI： 10.11959/j.issn.2096-3750.2021.00207.
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。
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.
关键词
边缘计算非正交多址接入车联网
Keywords
edge computingnon-orthogonal multiple accessvehicular network
references
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