北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2019, Vol. 42 ›› Issue (4): 50-56.doi: 10.13190/j.jbupt.2018-235

• 论文 • 上一篇    下一篇

基于网络切片的高频谱效率无线资源管理

李强1, 鲁昌龙2, 曹斌1,3, 张钦宇1,3   

  1. 1. 哈尔滨工业大学(深圳) 电子与信息工程学院, 广东 深圳 518055;
    2. 景德镇陶瓷大学 机电学院, 江西 景德镇 333000;
    3. 深圳网络空间科学与技术广东省实验室(鹏城实验室), 广东 深圳 518055
  • 收稿日期:2018-09-18 出版日期:2019-08-28 发布日期:2019-08-26
  • 作者简介:李强(1993-),男,硕士生;曹斌(1985-),男,副教授,E-mail:caobin@hit.edu.cn.
  • 基金资助:
    国家自然科学基金项目(61501211);深圳市基础研究项目(JCYJ20160531192013063,JCYJ20170307151148585);广东省自然科学基金项目(2017A030313372);哈尔滨工业大学创新基金项目;江西省自然科学基金项目(20151BAB217001,20151BAB217018)

High Spectrum Efficiency Wireless Resource Management Based on Network Slicing

LI Qiang1, LU Chang-long2, CAO Bin1,3, ZHANG Qin-yu1,3   

  1. 1. School of Electronic and Information Engineering, Harbin Institute of Technology(Shenzhen), Guangdong Shenzhen 518055, China;
    2. School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jiangxi Jingdezhen 333000, China;
    3. Shenzhen Cyberspace Laboratory, Guangdong Shenzhen 518055, China
  • Received:2018-09-18 Online:2019-08-28 Published:2019-08-26

摘要: 为满足差异化业务场景下不同类型用户的服务质量需求,构建了基于网络切片的无线资源分配模型.为获得最佳资源调度方案,将用户服务质量需求转化为无线资源需求,以系统总速率最大化为目标,构建网络资源管理和分配机理及其优化问题.该优化问题为混合整数非线性规划,直接求解复杂度较高,因此提出了基于拉格朗日对偶理论的解决方案,并给出求解算法.通过与比例公平算法和最大系统容量算法进行对比及仿真分析,证明了所提算法在牺牲了部分公平性的前提下提高了系统容量,并验证了所提算法的有效性.

关键词: 网络切片, 资源分配, 服务质量, 频谱效率

Abstract: In order to meet the quality of service requirements of different types of users in different application scenarios and improve spectrum efficiency, the wireless resource allocation model is constructed based on network slicing. In order to obtain the optimal resource allocation scheme, the quality of service requirements of users are transformed into the wireless resources requirements, and the wireless resource optimization problem is formulated with the goal of maximizing the total system rate. Since the optimization is a mixed integer nonlinear optimization, the complexity of optimal solution is considerably high. A solution based on Lagrange duality is proposed and the solving algorithm is given. Finally, compared with the proportional fairness algorithm and the maximum system capacity algorithm, the simulation results show that the proposed algorithm improves the system capacity while sacrificing partial fairness, which verifies the effectiveness of the proposed algorithm.

Key words: network slicing, resource allocation, quality of service, spectrum efficiency

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