Neuromorphic Spectrum Occupancy Learning in Cognitive Cloud Radio Access System-Reference-Cited by-同舟云学术

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Neuromorphic Spectrum Occupancy Learning in Cognitive Cloud Radio Access System

Published:2022-04-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 7th International conference for Convergence in Technology (I2CT)
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Author:

Datta Jayanta¹,Castillo Soria Francisco Ruben²,Zabala Blanco David³

Affiliation:

1. Indian Institute of Technology,GS Sanyal School of Telecommunications,Kharagpur,India

2. Autonomous University of San Luis,Telecommunications Engineering, Faculty of Sciences,Potosi, San Luis Potosi,Mexico

3. Universidad Católica del Maule,Department of Computer Science and Industry,Talca,Chile

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823959/9823960/09825459.pdf?arnumber=9825459

Reference40 articles.

1. Deep Cooperative Sensing: Cooperative Spectrum Sensing Based on Convolutional Neural Networks

2. Active interference cancellation technique for MB-OFDM cognitive radio;yamaguchi;34th European Microwave Conference 2004,2004

3. Deep Learning for Spectrum Sensing in Cognitive Radio;solanki;Symmetry,2021

4. Cyclostationarity‐based joint sensing and equalisation of fast convolution‐based DWPT block‐filtered orthogonal frequency division multiplexing for fifth‐generation wireless systems

5. Robust Deep Sensing Through Transfer Learning in Cognitive Radio

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Neural Network aided Sparse Bayesian Learning for Wireless Access Channel Estimation in mm-Wave Massive MIMO Cloud Radio Access Network Systems;2022 International Conference on Futuristic Technologies (INCOFT);2022-11-25

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