中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Statistical Multiplexing Gain Analysis of Processing Resources in Centralized Radio Access Networks

文献类型:期刊论文

作者Zhang, Zongshuai2,3,4; Tian, Lin2,3,4; Shi, Jinglin2,3,4; Yuan, Jinhong1,3,4; Zhou, Yiqing2,3,4; Cui, Xinyu2,3,4; Sun, Qian2,3,4
刊名IEEE ACCESS
出版日期2019
卷号7页码:23343-23353
关键词Centralized RAN processing resources pool statistical multiplexing gain traffic distribution
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2899663
英文摘要The next generation of wireless networks faces the challenges of the explosion of mobile data traffic, the associated power consumption, and operation cost. The centralized radio access networks (Centralized RANs) architectures have been proposed to reduce the power consumption and the network operating cost. By integrating many distributed base stations' processing resources in a processing pool and sharing processing resources on demand, the overall required processing resources for the Centralized RAN can be reduced compared to the conventional RAN. This can be measured by the statistical multiplexing gain (SMG). However, most of the SMG analysis only considered the temporal traffic distribution which is not suitable for the current mobile networks. In this paper, we analyze the SMG of processing resources based on a temporal-spatial joint traffic distribution model, which considers the mobile data traffic distribution both in the time and space domains. Based on this model, we derive a formula for the SMG and also a closed-form approximation for that when the spatial traffic distribution is lognormal distribution. The theoretical analysis and simulation results show that the SMG increases with the service threshold ratio P-th, but the growth trend of SMG for different area types is not always the same. We also find that the traffic distribution parameters, such as the standard deviation of the lognormal distribution variable's natural logarithm, have a significant influence on the SMG.
资助项目National Science and Technology Major Project of China[2018ZX03001017]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000461155800001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/4123]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Tian, Lin
作者单位1.Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
2.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
4.Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Zongshuai,Tian, Lin,Shi, Jinglin,et al. Statistical Multiplexing Gain Analysis of Processing Resources in Centralized Radio Access Networks[J]. IEEE ACCESS,2019,7:23343-23353.
APA Zhang, Zongshuai.,Tian, Lin.,Shi, Jinglin.,Yuan, Jinhong.,Zhou, Yiqing.,...&Sun, Qian.(2019).Statistical Multiplexing Gain Analysis of Processing Resources in Centralized Radio Access Networks.IEEE ACCESS,7,23343-23353.
MLA Zhang, Zongshuai,et al."Statistical Multiplexing Gain Analysis of Processing Resources in Centralized Radio Access Networks".IEEE ACCESS 7(2019):23343-23353.

入库方式: OAI收割

来源:计算技术研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。