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Found 6 papers, 0 papers with code
Maximum Likelihood CFO Estimation for High-Mobility OFDM Systems: A Chinese Remainder Theorem Based Method
Orthogonal frequency division multiplexing (OFDM) is a widely adopted wireless communication technique but is sensitive to the carrier frequency offset (CFO).
Knowledge Graph Based Waveform Recommendation: A New Communication Waveform Design Paradigm
In this paper, we investigate the waveform design from a novel perspective and propose a new waveform design paradigm with the knowledge graph (KG)-based intelligent recommendation system.
Deep Modulation Recognition with Multiple Receive Antennas: An End-to-end Feature Learning Approach
The first is based on multi-view convolutional neural network by treating signals from different receive antennas as different views of a 3D object and designing the location and operation of view-pooling layer that are suitable for feature fusion of multi-antenna signals.
Robust Deep Sensing Through Transfer Learning in Cognitive Radio
We propose a robust spectrum sensing framework based on deep learning.
A Neural Network Detector for Spectrum Sensing under Uncertainties
The result displays the neural network's potential in exploiting implicit and incomplete knowledge about the signal's structure.
Comparison of Neural Network Architectures for Spectrum Sensing
Given abundant training data and computational and memory resources, CNN, RNN, and BiRNN are shown to achieve similar performance.
