基于在线拍卖的网络切片资源分配算法

梁靓; 武彦飞; 冯钢

doi:10.11999/JEIT180636

基于在线拍卖的网络切片资源分配算法

doi: 10.11999/JEIT180636

梁靓^{1, 2, ,},
武彦飞²,
冯钢¹

1.
电子科技大学通信抗干扰技术国家级重点实验室成都 611731
2.
重庆大学微电子与通信工程学院重庆 400044

基金项目: 国家自然科学基金青年科学基金(61601067)，中国博士后科学基金(2016M602671)

详细信息

作者简介:
梁靓：女，1981年生，副教授，研究方向为移动通信网络、物联网

武彦飞：女，1993年生，硕士生，研究方向为无线网络资源管理

冯钢：男，1964年生，教授，研究方向为无线通信网络

通讯作者:
梁靓　liangliang@cqu.edu.cn

中图分类号: TN929.5
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- 被引次数: 0
出版历程
- 收稿日期: 2018-06-29
- 修回日期: 2018-12-21
- 网络出版日期: 2019-01-02
- 刊出日期: 2019-05-01

Resource Allocation Algorithm of Network Slicing Based on Online Auction

Liang LIANG^{1, 2
, ,},
Yanfei WU²,
Gang FENG¹

1.
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China
2.
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China

Funds: The National Natural Science Foundation of China (61601067), The Postdoctoral Science Foundation of China (2016M602671)

摘要

摘要:
为满足未来移动通信网络中多样化的业务需求，为用户提供定制化服务的同时提升网络经济效益，该文提出一种基于在线拍卖的网络切片资源分配算法。根据业务类型将用户的服务请求转化为相应投标信息，以最大化拍卖参与者的社会福利为目标，将切片资源分配问题建模为基于多业务的在线赢家确定问题。结合资源分配与价格更新策略，实现基于在线拍卖的资源优化配置。仿真结果表明，该算法能够在满足用户业务需求的同时，提升网络经济效益。
- 网络切片 /
- 资源分配 /
- 多业务 /
- 在线拍卖
Abstract:
In order to meet the diversified service requirements in future mobile communication networks and provide users with customized services while improving network economic efficiency, a resource allocation algorithm of network slicing based on online auction is proposed. The algorithm transforms the service requests of users into the corresponding bidding information according to the service types. For maximizing the social welfare of the auction participants, the slicing resource allocation problem is modeled as a multi-service based online winner determination problem. Combined with the resource allocation and price updating strategy, the optimal resources allocation based on online auction is achieved. The simulation results show that the proposed algorithm can improve the network economic efficiency and satisfy the service requirements of users.
- Network slicing /
- Resource allocation /
- Multi-service /
- Online auction

HTML全文

图 1 系统模型

下载: 全尺寸图片幻灯片

图 2 在线拍卖算法流程图

下载: 全尺寸图片幻灯片

图 3 竞争率

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图 4 社会福利与支付价格

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图 5 在线拍卖与近似算法的竞争率

下载: 全尺寸图片幻灯片

图 6 在线拍卖与近似算法在不同投标人数时的社会福利

下载: 全尺寸图片幻灯片

图 7 在线拍卖与近似算法在不同投标人数时的用户满意度

下载: 全尺寸图片幻灯片

图 8 在线拍卖与近似算法在不同投标人数时的运行时间

下载: 全尺寸图片幻灯片

表 1 仿真参数表

仿真参数	仿真值
切片所属业务类型出现概率	eMBB: 0.6, uRLLC: 0.2, mMTC: 0.2
切片生命周期${\tau _i}$	$\left[ {{t_i}, T}\; \right]$
VNF种类	10
可共享VNF种类	5
区域个数	5
资源种类	3
区域资源总量${C^{k, z}}$	[300, 1200]
可共享VNF处理能力${D_{v, z}}$	[6, 20]
区域间链路带宽${L_{z, z'}}$	[6, 20]
上传/下载带宽容量$Q_z^{{\rm{up}}}$/$Q_z^{{\rm{dw}}}$	[40, 80]

下载: 导出CSV

参考文献(15)

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