Uplink scheduling scheme for cloud service based on software-defined wireless network

Su PAN; Bang XIAO; Yu-qing CHEN; Sheng-mei LIU

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

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Uplink scheduling scheme for cloud service based on software-defined wireless network

Academic paper | 更新时间：2024-06-05

- Uplink scheduling scheme for cloud service based on software-defined wireless network
- Journal on Communications Vol. 37, Issue 12, Pages: 21-31(2016)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(61271235);Priority Academic Program Development of Jiangsu Higher Education Institution
- DOI：10.11959/j.issn.1000-436x.2016232
  CLC： TN915.04
- Online First：2016-12，
  
  Published：25 December 2016
- 稿件说明：
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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：

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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references

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