Convolutional Neural Networks for Pilot-Induced Cyclostationarity Based OFDM Signals Spectrum Sensing in Full-Duplex Cognitive Radio-Reference-Cited by-同舟云学术

Convolutional Neural Networks for Pilot-Induced Cyclostationarity Based OFDM Signals Spectrum Sensing in Full-Duplex Cognitive Radio

Published:2020-01-01 Issue:1 Volume:E103.B Page:91-102
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

LIU Hang¹,ZHU Xu²,FUJII Takeo¹

Affiliation:

1. Advanced Wireless Communication Research Center, The University of Electro-Communications

2. Corporate Research & Development Center, Toshiba Corporation

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E103.B/1/E103.B_2018EBP3253/_pdf

Reference26 articles.

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3. [3] J.I. Choi, M. Jain, K. Srinivasan, P. Levis, and S. Katti, “Achieving single channel, full duplex wireless communication,” Proc. 16th annual international conference on Mobile computing and networking, ACM, 2010. 10.1145/1859995.1859997

4. [4] M. Jain, J.I. Choi, T. Kim, D. Bharadia, S. Seth, K. Srinivasan, P. Levis, S. Katti, and P. Sinha, “Practical, real-time, full duplex wireless,” Proc. 17th annual international conference on Mobile computing and networking, pp.301-312, ACM, 2011. 10.1145/2030613.2030647

5. [5] B. Radunovic, D. Gunawardena, P. Key, A. Proutiere, N. Singh, V. Balan, and G. Dejean, “Rethinking indoor wireless mesh design: Low power, low frequency, full-duplex,” 2010 Fifth IEEE Workshop on Wireless Mesh Networks (WIMESH 2010), 2010. 10.1109/wimesh.2010.5507905