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Found 10 papers, 0 papers with code
Wireless Power Transmission on Martian Surface for Zero-Energy Devices
Exploration of the Red Planet is essential on the way through both human colonization and establishing a habitat on the planet.
Graph Attention Network Based Single-Pixel Compressive Direction of Arrival Estimation
In this paper, we present a single-pixel compressive direction of arrival (DoA) estimation technique leveraging a graph attention network (GAT)-based deep-learning framework.
Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communications
Moreover, bit error rate performance is investigated for RIS designs with discrete and non-uniform phase shifts under channel estimation based on the proposed method.
Energy-Efficient RIS-Assisted Satellites for IoT Networks
The use of satellites to provide ubiquitous coverage and connectivity for densely deployed Internet of Things (IoT) networks is expected to be a reality in emerging 6G networks.
Information Theory Information Theory
Reconfigurable Intelligent Surfaces in Action for Non-Terrestrial Networks
Next-generation communication technology will be made possible by cooperation between terrestrial networks with non-terrestrial networks (NTN) comprised of high-altitude platform stations and satellites.
Channel Estimation for Full-Duplex RIS-assisted HAPS Backhauling with Graph Attention Networks
In this paper, graph attention network (GAT) is firstly utilized for the channel estimation.
Reconfigurable Intelligent Surfaces Empowered THz Communication in LEO Satellite Networks
The revolution in the low Earth orbit (LEO) satellite networks will bring changes on their communication models and a shift from the classical bent-pipe architectures to more sophisticated networking platforms.
Information Theory Signal Processing Information Theory
Spectrum Sensing and Signal Identification with Deep Learning based on Spectral Correlation Function
Spectrum sensing is one of the means of utilizing the scarce source of wireless spectrum efficiently.
Modeling and Analysis of sub-Terahertz Communication Channel via Mixture of Gamma Distribution
First, maximum likelihood estimation (MLE) is applied to characterize the Gamma mixture model parameters, and then EM algorithm is used to compute MLEs of the unknown parameters of the measurement data.
Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels
The proposed classifier is robust against realistic wireless channel impairments and in relation to that when the data sets that are utilized for testing and evaluating the proposed methods are considered, it is seen that RadioML2016. 10a is the main dataset utilized for testing and evaluation of the proposed methods.
