Weighted Centroid Location Based Spectrum Status Identification in Cognitive Radio Network-Reference-Cited by-同舟云学术

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Weighted Centroid Location Based Spectrum Status Identification in Cognitive Radio Network

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Global Communications Conference (GLOBECOM)
language:
Short-container-title:

Author:

Liang Xiaowei¹,Shen Bin¹,Cui Taiping¹,Huang Longyang²

Affiliation:

1. School of Communication and Information Engineering (SCIE), Chongqing University of Posts and Telecommunications (CQUPT),Chongqing Key Laboratory of Mobile Communications Technology,Chongqing,P. R. China,400-065

2. Civil Aviation Flight University of China,Deyang,Sichuan,P. R. China,618-300

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685882.pdf?arnumber=9685882

Reference13 articles.

1. Robust Multidimensional Scaling for Cognitive Radio Network Localization

2. Accurate Analysis of Weighted Centroid Localization

3. Closed-Form Approximation of Weighted Centroid Localization Performance

4. On the moments of ratios of quadratic forms in normal random variables

5. Weighted Centroid Localization Algorithm: Theoretical Analysis and Distributed Implementation

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