Title
Optimal Linear Cooperation for Signal Classification in Cognitive Communication Networks.
Abstract
Signal classification plays an important role in cognitive communication networks to identify and avoid interference. Contrary to traditional cooperative spectrum sensing based on binary hypothesis testing, we study a network of cognitive radios that jointly perform linear cooperation based signal classification via M-ary hypothesis testing. To maximize the probability of successful classification...
Year
DOI
Venue
2020
10.1109/TWC.2020.2970714
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
Testing,Sensors,Optimization,Wireless communication,Communication networks,OFDM,Multiaccess communication
Journal
19
Issue
ISSN
Citations 
5
1536-1276
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Yuan Ma1248.49
Zhi Quan21439108.24
Dong Li314419.76
Sha Zhang4123.13
xiaofan li57912.44
Feng, Zhiyong66811.11
Zhiguo Ding77031399.47