Research on Interference from 5G System to NGSO Satellite Constellation Based on K-means Clustering

被引：0

作者：

Li, Linghui ^{[1
]}

Li, Wei ^{[2
]}

Ren, Zixuan ^{[1
]}

Jin, Jin ^{[1
,3
]}

Kuang, Linling ^{[1
,3
]}

机构：

[1] Tsinghua Univ, Beijing, Peoples R China

[2] State Radio Monitoring Ctr, Beijing, Peoples R China

[3] Beijing Natl Res Ctr Informat Sci & Technol, Beijing, Peoples R China

来源：

SPACE INFORMATION NETWORK, SINC 2020 | 2021年 / 1353卷

关键词：

NGSO satellite constellation; 5G; K-means clustering algorithm;

D O I：

10.1007/978-981-16-1967-0_1

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In the co-frequency coexistence problem between the ground 5G system and NGSO (non-geostationary Orbit) constellation system, the interference from the 5G system to NGSO satellites is a typical scenario. Due to the massive number of satellites in the NGSO satellite constellation system, the location, beam direction and beam coverage of satellites are constantly changing. There are issues that the interference calculation amount is large and the actual distribution of the 5G system is difficult to obtain. To address these issues, we analyze the system model and interference principle, put forward the method of 5G system radiation energy to reduce the calculation amount, and present the location analysis method of 5G system based on K-means clustering to reflect the actual distribution of 5G system. Based on this, the interference from the Taiyuan 5G system to the O3b system satellite constellation is simulated. Compared with the existing simulation methods, the proposed method has less computation and is more in line with the actual distribution characteristics of the specific urban 5G system.

引用

页码：1 / 17

页数：17

共 50 条

[21] Research on Key Technologies of Networking in 5G-based LEO Satellite Constellation System
Liu, Yan
Shi, Gaowa
Tian, Zhou
Hui, Leifang
Lou, Danian
SEVENTH ASIA PACIFIC CONFERENCE ON OPTICS MANUFACTURE (APCOM 2021), 2022, 12166
[22] 基于K-means算法的5G价值用户分析
叶健涛
徐锋
陈广林
梁盛铭
张紫轩
广西通信技术, 2022, (01) : 37 - 40
[23] An energy efficient dynamic small cell on/off switching with enhanced k-means clustering algorithm for 5G HetNets
Natarajan, Janani
Rebekka, B.
INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, 2023, 29 (02) : 209 - 237
[24] An LED based Indoor Localization System using k-means Clustering
Saadi, Muhammad
Ahmad, Touqeer
Zhao, Yan
Wuttisttikulkij, Lunchakorn
2016 15TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2016), 2016, : 246 - 252
[25] A Clustering Algorithm Based on K-means for Wireless Indoor Monitoring System
Li, Xiao Hui
Fang, Kang Ling
Zhang, Liang
He, Jian
2009 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE, VOL 1, PROCEEDINGS, 2009, : 488 - +
[26] CONSTRAINED DISTANCE BASED K-MEANS CLUSTERING FOR SATELLITE IMAGE TIME-SERIES
Lampert, Thomas
Lafabregue, Baptiste
Gancarski, Pierre
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 2419 - 2422
[27] Performance of k-means based Satellite Image Clustering in RGB and HSV Color Space
Kumar, Gautam
Sarthi, P. Parth
Ranjan, Prabhat
Rajesh, R.
2016 5TH INTERNATIONAL CONFERENCE ON RECENT TRENDS IN INFORMATION TECHNOLOGY (ICRTIT), 2016,
[28] Analysis and Research on Enterprise Resumption of Work and Production Based on K-means Clustering
Wang Peiyi
Ma Longfei
Li Xianglong
Zhang Lu
Qin Hao
Yao Bin
Ding Yifeng
2021 IEEE 6TH INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2021), 2021, : 169 - 174
[29] Research on User Segmentation based on RFL Model and K-means Clustering Algorithm
Chen, Yunpeng
Liu, Ziyu
Wang, Yan
Qin, Yao
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015), 2015, 117 : 1499 - 1503
[30] Research on Clustering Routing Algorithm based on K-means plus plus for WSN
Yang, Xiang
Yan, Yu
Deng, Dengteng
PROCEEDINGS OF 2017 6TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2017), 2017, : 330 - 333

← 1 2 3 4 5 →