Statistical Multiplexing Gain Analysis of Centralized Open Radio Access Networks With Limited Cells and Heterogeneous Traffics

doi:10.1109/TVT.2025.3556965

	Statistical Multiplexing Gain Analysis of Centralized Open Radio Access Networks With Limited Cells and Heterogeneous Traffics
	Wang, Lu 1,2,3; Zhou, Yiqing 3,4,5; Liu, Ya-Feng 6; Liu, Ling 3,4,5; Shi, Ningzhe 3,4,5; Tian, Lin 4,7,8; Shi, Jinglin 3,4,5
	2025-08-01
发表期刊	IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
ISSN	0018-9545
卷号	74 期号:8 页码:13056-13074
摘要	Centralized open radio access networks (O-RANs) aggregate computing resources of multiple cells to improve resource utilization and achieve statistical multiplexing gain (SMG), i.e., the ratio of the number of deployed resources (DepR) for distributed radio access network (D-RAN) to that for O-RAN. SMG of O-RAN has been investigated with infinite number of cells with homogeneous bursty-temporal traffic features. However, in practice, the number of cells is limited, and in the era of Internet of Things (IoT), cells with heterogeneous bursty-temporal traffics (het-traffics), should be considered. This paper analyzes the SMG of O-RAN with limited het-traffic cells. First of all, given traffic models of het-traffic cells following different bursty lognormal distribution and periodic time-varying features, required resources (ReqR) for D-RAN can be derived. Then, to obtain the distribution of ReqR for O-RAN with limited het-traffic cells, a Gaussian mixture model (GMM) based resource distribution approximation (GMM-RDA) is proposed. Thus SMG can be obtained for any given service rate. In simulations, the effectiveness of GMM-RDA is verified by Kolmogorov-Smirnov (K-S) test, and the accuracy of achieved SMG can be up to 99.7%, which is about 33% higher than that obtained by the law of large numbers (LLN) for infinite cells. Moreover, het-traffic cells resulting from service diversification can enhance SMG in O-RAN by 34.7%.
关键词	Open RAN STEM Solid modeling Multiplexing Internet of Things Heavily-tailed distribution Telecommunication traffic Quantization (signal) Quality of service Protocols O-RAN statistical multiplexing gain limited number of cells heterogeneous traffics Gaussian mixture model
DOI	10.1109/TVT.2025.3556965
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2021YFA1000501] ; National Key Research and Development Program of China[2021YFA1000500]
WOS研究方向	Engineering ; Telecommunications ; Transportation
WOS类目	Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS记录号	WOS:001554224200015
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/41709
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhou, Yiqing
作者单位	1.Natl Key Lab Transient Impact, Beijing 102202, Peoples R China 2.China Ordnance Ind, Res Inst 208, Beijing 102202, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Processors, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China 6.Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, State Key Lab Sci & Engn Comp, Beijing 100190, Peoples R China 7.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 8.Nanjing Inst Infor SuperBahn, Nanjing 211100, Peoples R China
推荐引用方式 GB/T 7714	Wang, Lu,Zhou, Yiqing,Liu, Ya-Feng,et al. Statistical Multiplexing Gain Analysis of Centralized Open Radio Access Networks With Limited Cells and Heterogeneous Traffics[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2025,74(8):13056-13074.
APA	Wang, Lu.,Zhou, Yiqing.,Liu, Ya-Feng.,Liu, Ling.,Shi, Ningzhe.,...&Shi, Jinglin.(2025).Statistical Multiplexing Gain Analysis of Centralized Open Radio Access Networks With Limited Cells and Heterogeneous Traffics.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,74(8),13056-13074.
MLA	Wang, Lu,et al."Statistical Multiplexing Gain Analysis of Centralized Open Radio Access Networks With Limited Cells and Heterogeneous Traffics".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 74.8(2025):13056-13074.