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Found 8 papers, 1 papers with code
Quasisynchronous LoRa for LEO Nanosatellite Communications
Even by incorporating atomic clocks in LEO satellites, their inherent precision can be leveraged to enhance the overall synchronization process, perfect synchronization is infeasible due to a combination of factors such as signal propagation delay, Doppler effects, clock drift and atmospheric effects.
Time-Frequency Warped Waveforms for Well-Contained Massive Machine Type Communications
This paper proposes a novel time-frequency warped waveform for short symbols, massive machine-type communication (mMTC), and internet of things (IoT) applications.
Centralized and Decentralized ML-Enabled Integrated Terrestrial and Non-Terrestrial Networks
Non-terrestrial networks (NTNs) are a critical enabler of the persistent connectivity vision of sixth-generation networks, as they can service areas where terrestrial infrastructure falls short.
Image Segmentation for Radar Signal Deinterleaving Using Deep Learning
The developed preprocessing step uses both versions of the PRI transform outputs to generate 2-D time–PRI images of the collected radar emissions, so that constant and varying PRI patterns are revealed.
Identification of Distorted RF Components via Deep Multi-Task Learning
The identification of these components can be done through observation and analysis of constellation diagrams.
Deep Learning-Aided Spatial Multiplexing with Index Modulation
In this paper, deep learning (DL)-aided data detection of spatial multiplexing (SMX) multiple-input multiple-output (MIMO) transmission with index modulation (IM) (Deep-SMX-IM) has been proposed.
Deep Receiver Design for Multi-carrier Waveforms Using CNNs
In this paper, a deep learning based receiver is proposed for a collection of multi-carrier wave-forms including both current and next-generation wireless communication systems.
