基于软件定义无线网络的云业务上行调度方案

潘甦; 肖榜; 陈宇青; 刘胜美

doi:10.11959/j.issn.1000-436x.2016232

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基于软件定义无线网络的云业务上行调度方案

学术论文 | 更新时间：2024-06-05

- 基于软件定义无线网络的云业务上行调度方案
- Uplink scheduling scheme for cloud service based on software-defined wireless network
- 通信学报 2016年37卷第12期页码：21-31
- 作者机构：
  
  南京邮电大学宽带无线通信与传感网技术教育部重点实验室，江苏南京 210003
- 作者简介：
  
  [ "潘甦（1969-），男，江苏扬州人，博士，南京邮电大学教授、博士生导师，主要研究方向为宽带无线通信中的资源分配技术、路由技术和QoS保证技术、移动互联网技术等。" ]
  [ "肖榜（1992-），男，湖北天门人，南京邮电大学硕士生，主要研究方向为宽带无线通信和软件定义无线网络等。" ]
  [ "陈宇青（1993-），女，江苏南京人，南京邮电大学硕士生，主要研究方向为宽带无线通信和信道资源分配等。" ]
  [ "刘胜美（1977-），女，江苏泰兴人，博士，南京邮电大学副教授、硕士生导师，主要研究方向为异构无线网络移动性管理、资源管理和无线云等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61271235);江苏高校优势学科建设工程基金资助项目
- DOI：10.11959/j.issn.1000-436x.2016232
  中图分类号： TN915.04
- 网络出版日期：2016-12，
  
  纸质出版日期：2016-12-25
- 稿件说明：
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潘甦, 肖榜, 陈宇青, 等. 基于软件定义无线网络的云业务上行调度方案[J]. 通信学报, 2016,37(12):21-31.

Su PAN, Bang XIAO, Yu-qing CHEN, et al. Uplink scheduling scheme for cloud service based on software-defined wireless network[J]. Journal on communications, 2016, 37(12): 21-31.
潘甦, 肖榜, 陈宇青, 等. 基于软件定义无线网络的云业务上行调度方案[J]. 通信学报, 2016,37(12):21-31. DOI： 10.11959/j.issn.1000-436x.2016232.

Su PAN, Bang XIAO, Yu-qing CHEN, et al. Uplink scheduling scheme for cloud service based on software-defined wireless network[J]. Journal on communications, 2016, 37(12): 21-31. DOI： 10.11959/j.issn.1000-436x.2016232.

摘要

针对无线云计算的业务特点，基于软件定义无线网络(SDWN

software-defined wireless network)，提出了一种新的能适配云业务特点的LTE上行调度方案，该方案首先将资源分配问题归纳成二进制整数规划问题进行求解，然后利用动态规划计算出每个调度时隙内云业务的最佳发送速率，最后通过SDWN框架下的QoS控制方法动态调节云业务的发送速率，使云业务的发送速率与当前信道条件成正比，从而在保障多业务速率需求的同时，满足云业务能量消耗最小的需求，通过仿真验证算法的性能。

Abstract

A LTE uplink scheduling scheme matching the features of wireless cloud services was proposed for the SDWN (software-defined wireless network). The scheme first solved the resource allocation problem by using the binary integer programming method

and then calculated the optimal transmission rate of cloud services in each time slot using the method of dynamic programming

finally adjusted the transmission rate of cloud services proportional to the current channel status using QoS control method in the framework of SDWN. The proposed scheme minimizes the energy con-sumption of cloud services while ensuring the transmission rate demand of multiple services. The performance of the al-gorithm is verified by simulation.

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Keywords

references

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