Demonstration of Precise Planning of Broadband Access Network based on Mining Traffic Trends and Demands from Hybrid Data Sources

被引：0

作者：

Li, Hui ^{[1
]}

Guo, Xianyi ^{[1
]}

Zhan, Tianshun ^{[1
]}

Jia, Wu ^{[2
]}

Su, Yudan ^{[2
]}

Yang, Guangsheng ^{[1
]}

Sun, Jinglei ^{[1
]}

Shao, Yan ^{[2
]}

Ji, Yuefeng ^{[3
]}

Wang, Guangquan ^{[2
]}

机构：

[1] Beijing Univ Posts & Telecommun BUPT, Beijing Lab Adv Informat Networks, Beijing 100876, Peoples R China

[2] China Unicom, Network Technol Res Inst, Beijing 100048, Peoples R China

[3] BUPT, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China

来源：

2020 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | 2020年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We demonstrate a carrying capability evaluation system, which can evaluate and predict the access network capacity and efficiency by extracting detail network status and trends from hybrid data sources based on machine learning.

引用

页数：3

共 2 条

[1] Analysis of traffic flow prediction from spatial-temporal data using hybrid GSA-Adam optimizer based LSTM network for intelligent transport system
R.B. Sarooraj
S. Prayla Shyry
Multimedia Tools and Applications, 2024, 83 : 16735 - 16761
[2] Analysis of traffic flow prediction from spatial-temporal data using hybrid GSA-Adam optimizer based LSTM network for intelligent transport system
Sarooraj, R. B.
Shyry, S. Prayla
MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (06) : 16735 - 16761

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