Service aware base station processing resource allocation for centralized radio access network

Xinping ZHANG; Yuanyuan WANG; Lin TIAN; Shuliang HAO

doi:10.11959/j.issn.1000−0801.2018202

您当前的位置：

首页 >

文章列表页 >

Service aware base station processing resource allocation for centralized radio access network

research and development | 更新时间：2024-06-05

- Service aware base station processing resource allocation for centralized radio access network
- Telecommunications Science Vol. 34, Issue 8, Pages: 109-118(2018)
- 作者机构：
  
  1. 重庆邮电大学，重庆400065
  2. 中国科学院计算技术研究所，北京100190
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000−0801.2018202
  CLC： TP393
- Published Online：2018-08，
  
  Published：20 August 2018
- 稿件说明：
移动端阅览
Xinping ZHANG, Yuanyuan WANG, Lin TIAN, et al. Service aware base station processing resource allocation for centralized radio access network[J]. Telecommunications science, 2018, 34(8): 109-118.
DOI：

Xinping ZHANG, Yuanyuan WANG, Lin TIAN, et al. Service aware base station processing resource allocation for centralized radio access network[J]. Telecommunications science, 2018, 34(8): 109-118. DOI： 10.11959/j.issn.1000−0801.2018202.

摘要

现有的资源分配算法研究主要面向数据中心和云计算环境展开，未能充分考虑基站处理资源的多样性（CPU、内存、网络带宽、FPGA、DSP）和业务种类的多样性，不能直接应用于集中式接入网架构中。针对该问题，提出了基于业务类型的资源分配算法，首先采用Fisher分割方法，根据用户业务类型对不同类型计算资源的需求，对业务进行分类，然后利用资源分配均衡策略分配基站处理资源。仿真结果表明，该算法有效地减少了开启物理服务器的个数并提高了物理服务器的资源利用率，达到了绿色节能的目的。

Abstract

Current research on resource allocation algorithmsmainly focuses on data centers

and cloud computing environments.These resource allocation algorithms did not consideRthe diversity of processing resources(CPU

memory

network bandwidth

FPGA

DSP)and the diversity of service types in the centralized base station

resulting in the low processing resource utilization.In ordeRto solve this problem

a service oriented base station processing resource allocation algorithm was proposed.Firstly

the Fisher partitionmethod was used to classify the base station’s processing resource requirements according to the user’s service request.Then

the resource allocation balancing strategy was used to allocate the base station processing resources.Experimental results show that the algorithm is effective to reduce the number of physi cal servers and improves the resource utilization of the servers

realizing energy conservation and communications.

关键词

Keywords

references

LIU L , ZHOU Y Q , TIAN L , et al . Load aware joint CoMP clustering and inter-cell resource scheduling in heterogeneous ultra dense cellular networks [J ] . IEEE Transactions on VehiculaRtechnology,Early Access , 2017 , 99 ( 11 ): 1 - 14 .

ZHOU Y Q , LIU H , PAN Z , et al . Cooperativemulticast with location aware distributedmobile relay selection:performance analysis and optimized design [J ] . IEEE Transactions on VehiculaRtechnology , 2017 , 66 ( 3 ): 8291 - 8302 .

China Mobile . C-RAN:the road towards green RAN [R ] . 2015 .

QIAN M , WANG Y,ZHOUY , ZHOUY , et al . A super base station based centralized network architecture for 5Gmobile communication systems [J ] . Digital Communications ＆ Networks , 2015 , 1 ( 2 ): 152 - 159 .

HUANG L , ZHOU Y . Coverage optimization for femtocell clusters using particle swarm optimization [C ] // 2012 IEEE International Conference on Communications,June 10-15,2012,Ottawa,ON,Canada . Piscataway:IEEE Press , 2012 : 612 - 615 .

田霖 , 翟国伟 , 黄亮 , 等 . 基于集中式接入网架构的异构无线网络资源管理技术研究 [J ] . 电信科学 , 2013 , 29 ( 6 ): 25 - 27 .

TIAN L , ZHAI G W , HUANG L , et al . Research on key technologies of heterogeneous wireless network resourcemanagement based on centralized radio access network architecture [J ] . Telecommunications Science , 2013 , 29 ( 6 ): 25 - 27 .

ZHAI G W , TIAN L , ZHOU Y Q , et al . Load diversity based optimal processing resource allocation for super base stations in centralized radio access networks [J ] . Science China Information Sciences , 2014 , 57 ( 4 ): 1 - 12 .

MELL P , GRANCE T . The NIST definition of cloud computing(draft) [R ] . 2013 .

殷波 , 张云勇 , 房秉毅 , 等 . 面向成本优化的云计算资源分配方法研究 [J ] . 电信科学 , 2014 , 30 ( 11 ): 22 - 26 ,32.

YIN B , ZHANG Y Y , FANG B Y , et al . Cloud resource allocationmethod based on elastic resource adjustment [J ] . Telecommunications Science , 2014 , 30 ( 11 ): 22 - 26 ,32.

吴清烈 , 郭昱 , 武忠 . 云计算服务与大规模定制模式应用 [J ] . 电信科学 , 2010 , 26 ( 9 ): 74 - 78 .

WU Q L , GUO Y , WU Z . Study on cloud computing services andmass customization applications [J ] . Telecommunications Science , 2010 , 26 ( 9 ): 74 - 78 .

徐骁勇 , 柯涛 , 刘梦娟 , 等 . 面向云平台的资源分配策略研究 [J ] . 计算机应用 , 2013 , 33 ( 20 ): 299 - 307 .

XU X Y , KE T , LIU M J , et al . Research on resource allocation strategies in cloud computing [J ] . Journal of Computer Applications , 2013 , 33 ( 20 ): 299 - 307 .

陈小娇 , 陈世平 , 方芳 . 云计算中虚拟机资源分配算法 [J ] . 计算机应用研究 , 2014 , 31 ( 9 ): 2585 - 2616 .

CHEN X J , CHEN S P , FANG F . Research on virtualmachine resource allocation algorithm in cloud computing [J ] . Journal of Computer Applications Research , 2014 , 31 ( 9 ): 2585 - 2616 .

LU J , . Improved genetic algorithm-based resource scheduling strategy in cloud computing [C ] // 2016 International Conference on Smart City and Systems Engineering,Nov 25-26,2016,Changsha,China . Piscataway:IEEE Press , 2016 : 230 - 234 .

WANG S , GU H , WU G . A new approach tomulti-objective virtualmachine placement in virtualized data center [C ] // IEEE Eighth International Conference on Networking,Architecture and Storage,July 17-19,2013,Xi’an,China . Piscataway:IEEE Press , 2013 : 331 - 335 .

CHEN N S , FANG X P . A cloud computing resource scheduling scheme based on estimation of distribution algorithm [C ] // The 20142nd International Conference on Systems and Information,Nov 15-17,2014,Shanghai,China . Piscataway:IEEE Press , 2014 : 304 - 308 .

GHRIBI C , HADJI M , ZEGHLACHE D . Energy efficient VM scheduling for cloud data centers:exact allocation andmigration algorithms [C ] // 2013 IEEE/ACM 13th International Symposium on Cluster,Cloud,and Grid Computing,May 13-16,2013,Delft,the Netherlands . Piscataway:IEEE Press , 2013 : 671 - 678 .

IMT-2020(5G)推进组 . 5G概念白皮书 [R ] . 2015 .

IMT-2020(5G)Propulsion Group . 5G white paper [R ] . 2015 .

翟国伟 . 超级基站架构下协议处理资源分配和管理方法的研究 [D ] . 北京:中国科学院大学 , 2016 .

ZHAI G W . Research on protocol processing resource allocation andmanagement in super BS architecture [D ] . Beijing:University of Chinese Academy of Sciences , 2016 .

王庆扬 , 谢沛荣 , 熊尚坤 , 等 . 5G 关键技术与标准综述 [J ] . 电信科学 , 2017 , 33 ( 11 ): 112 - 122 .

WANG Q Y , XIE P R , XIONG S K , et al . Key technology and standardization progress for 5G [J ] . Telecommunications Science , 2017 , 33 ( 11 ): 112 - 122 .

武琳琳 . 基于Fisher 最优分割法的聚类分析应用 [D ] . 郑州:郑州大学 , 2013 .

WU L L . Cluster analysis based on themethod of Fisher optimal division [D ] . Zhengzhou:Zhengzhou University , 2013 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰