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Found 19 papers, 1 papers with code
Measurement-Based Modeling of Short Range Terahertz Channels and Their Capacity Analysis
Also, to demonstrate the flexibility of the GMM, the Dirichlet process Gamma mixture model (DPGMM) is utilized in cases where the EM algorithm fails to represent histograms.
Experimental Assessment of Misalignment Effects in Terahertz Communications
Terahertz (THz) frequencies are important for next generation wireless systems due to the advantages in terms of large available bandwidths.
Multi-State Inter-Satellite Channel Models
The advancement in satellite networks (SatNets) offers vast opportunities for large-scale connectivity and flexibility.
CNN-aided Channel and Carrier Frequency Offset Estimation for HAPS-LEO Links
Low Earth orbit (LEO) satellite mega-constellation networks aim to address the high connectivity demands with a projected 50, 000 satellites in less than a decade.
A Novel LFM Waveform for Terahertz-Band Joint Radar and Communications over Inter-Satellite Links
There is no doubt that we need to keep our eyes on the sky as satellite networks aim to address the demands of 6G and beyond communications systems.
Hierarchical Dirichlet Process Based Gamma Mixture Modelling for Terahertz Band Wireless Communication Channels
We also demonstrated that DPGMM can be used to model any wireless channel due to its versatility.
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.
Harmonic Retrieval of CFO and Frame Misalignment for OFDM-based Inter-Satellite Links
As dense low Earth orbit (LEO) constellations are being planned, the need for accurate synchronization schemes in high-speed environments remains a challenging problem to tackle.
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.
Relay Selection with Imperfect SIC for FD/HD NOMA Cooperative Networks over Nakagami-$m$ Fades
Two relay selection (RS) strategies, selecting a relay to maximize data rate of user 1 at selected relay and selecting a relay out of a set of relays providing service quality for user 1 to maximize data rate of user 2, are analyzed.
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
An Adaptive Multi-Agent Physical Layer Security Framework for Cognitive Cyber-Physical Systems
With the advancement of the machine learning algorithms, the transmission scheme providing the best performance can be utilized to sustain a reliable network of CCPS agents equipped with self-decision mechanisms, where the interactions between each agent are modeled in terms of service quality, security, and cost dimensions.
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.
