Cooperative Signal Classification using Spectral Correlation Function in Cognitive Radio Networks

Quan, Zhi1; Lie, Dong2; Gong, Yi1

10.1109/ICC.2016.7511435

2016

1550-3607

978-1-4799-6665-3

2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)

1-6

22-27 May 2016

Kuala Lumpur, Malaysia

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Signal classification plays an important role in spectrum sensing for cognitive radios to identify and avoid interference from other wireless devices. In this paper, we study a network of cognitive radios that jointly perform signal classification via cooperation. We propose a simple but effective linear cooperation scheme to fuse pre-processed measurements collected from spatially distributed cognitive radios. Our objective is to maximize the probability of successful classification subject to some constraints on the probabilities of misclassification. By applying a divide-and-conquer strategy and new constraint relaxation methods, we are able to derive the closed-form expressions for the optimal weight coefficient for each contributing cognitive radio. The design of such a cooperative signal classification system is further studied through numerical simulation.

Signal classification M-ary hypothesis testing spectral analysis non-convex optimization cognitive radio

第一 ; 通讯

英语

CPCI-S ; EI

National Natural Science Foundation of China[61540044]

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:000390993204122

20163302714721

Convex optimization ; Radio systems ; Spectrum analysis

Radio Systems and Equipment:716.3

Web of Science

1.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Peoples R China
2.Macau Univ Sci & Technol, Fac Informat Technol, Macau, Peoples R China

Quan, Zhi,Lie, Dong,Gong, Yi. Cooperative Signal Classification using Spectral Correlation Function in Cognitive Radio Networks[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2016:1-6.