Statistical Multiplexing Gain Analysis of Processing Resources in Centralized Radio Access Networks

doi:10.1109/ACCESS.2019.2899663

	Statistical Multiplexing Gain Analysis of Processing Resources in Centralized Radio Access Networks
	Zhang, Zongshuai 1,2,3; Tian, Lin 1,2,3; Shi, Jinglin 1,2,3; Yuan, Jinhong 1,2,4; Zhou, Yiqing 1,2,3; Cui, Xinyu 1,2,3; Sun, Qian 1,2,3
	2019
发表期刊	IEEE ACCESS
ISSN	2169-3536
卷号	7 页码:23343-23353
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.
关键词	Centralized RAN processing resources pool statistical multiplexing gain traffic distribution
DOI	10.1109/ACCESS.2019.2899663
收录类别	SCI
语种	英语
资助项目	National Science and Technology Major Project of China[2018ZX03001017]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000461155800001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4124
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.Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China 4.Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
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.