K-Nearest Neighbors Gaussian Process Regression for Urban Radio Map Reconstruction

被引：14

作者：

Zhang, Yifang ^{[1
]}

Wang, Shaowei ^{[1
]}

机构：

[1] Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210023, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2022年 / 26卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Gaussian process regression; k-nearest neighbors; radio map reconstruction; KERNEL;

D O I：

10.1109/LCOMM.2022.3207210

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Radio map is of great importance to interference control, network planning and resource allocation in wireless communications. In this letter, we develop an accurate radio map reconstruction method based on k-nearest neighbors Gaussian process regression, which can exploit the relationship of the received signal strengths at adjacent locations efficiently. Numerical experiments demonstrate that our proposed method outperforms the state-of-the-art ones significantly.

引用

页码：3049 / 3053

页数：5

共 50 条

[41] K-nearest Neighbors Based Nonlinear Process Monitoring Using Kernel EPCA
El Fattahi, Loubna
El Hassan, Sbai
TWELFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2019), 2020, 11433
[42] Fault detection of batch process based on diffusion K-nearest neighbors distance
Research Center for Technical Process Fault Diagnosis and Safety, Shenyang University of Chemical Technology, Shenyang
Liaoning
110142, China
不详
Liaoning
110819, China
Kong Zhi Li Lun Yu Ying Yong, 12 (1653-1659):
[43] Distributed architecture for k-nearest neighbors recommender systems
Formoso, Vreixo
Fernandez, Diego
Cacheda, Fidel
Carneiro, Victor
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2015, 18 (04): : 997 - 1017
[44] Human Sleep Scoring Based on K-Nearest Neighbors
Qureshi, Shahnawaz
Karrila, Seppo
Vanichayobon, Sirirut
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2018, 26 (06) : 2802 - +
[45] Parallel Search of k-Nearest Neighbors with Synchronous Operations
Sismanis, Nikos
Pitsianis, Nikos
Sun, Xiaobai
2012 IEEE CONFERENCE ON HIGH PERFORMANCE EXTREME COMPUTING (HPEC), 2012,
[46] Compressed kNN: K-Nearest Neighbors with Data Compression
Salvador-Meneses, Jaime
Ruiz-Chavez, Zoila
Garcia-Rodriguez, Jose
ENTROPY, 2019, 21 (03)
[47] A hashing strategy for efficient k-nearest neighbors computation
Vanco, M
Brunnett, G
Schreiber, T
COMPUTER GRAPHICS INTERNATIONAL, PROCEEDINGS, 1999, : 120 - 128
[48] EDITING FOR THE K-NEAREST NEIGHBORS RULE BY A GENETIC ALGORITHM
KUNCHEVA, LI
PATTERN RECOGNITION LETTERS, 1995, 16 (08) : 809 - 814
[49] A new approach for increasing K-nearest neighbors performance
Aamer, Youssef
Benkaouz, Yahya
Ouzzif, Mohammed
Bouragba, Khalid
2020 8TH INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND MOBILE COMMUNICATIONS (WINCOM 2020), 2020, : 35 - 39
[50] k-Nearest Neighbors for automated classification of celestial objects
LiLi Li
YanXia Zhang
YongHeng Zhao
Science in China Series G: Physics, Mechanics and Astronomy, 2008, 51 : 916 - 922

← 1 2 3 4 5 →