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Found 18 papers, 1 papers with code
Semantic Communication-Enabled Wireless Adaptive Panoramic Video Transmission
In this paper, we propose an adaptive panoramic video semantic transmission (APVST) network built on the deep joint source-channel coding (Deep JSCC) structure for the efficient end-to-end transmission of panoramic videos.
Deep Joint Source-Channel Coding for Efficient and Reliable Cross-Technology Communication
Cross-technology communication (CTC) is a promising technique that enables direct communications among incompatible wireless technologies without needing hardware modification.
Codebook-enabled Generative End-to-end Semantic Communication Powered by Transformer
Codebook-based generative semantic communication attracts increasing attention, since only indices are required to be transmitted when the codebook is shared between transmitter and receiver.
MOC-RVQ: Multilevel Codebook-assisted Digital Generative Semantic Communication
Vector quantization-based image semantic communication systems have successfully boosted transmission efficiency, but face a challenge with conflicting requirements between codebook design and digital constellation modulation.
Semantic Synchronization for Enhanced Reliability in Communication Systems
As a new communication paradigm, semantic communication has received widespread attention in communication fields.
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels
In this context, we address the problem of efficient remote object recognition by optimizing feature transmission between mobile devices and edge servers.
Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System
Specifically, the first-order average consensus algorithm is utilized to expand the observations of the DESS state in a fully-decentralized way, and the initial actions (i. e., output power) are decided by the agents (i. e., energy storage units) according to these observations.
Efficient Gaussian Process Classification-based Physical-Layer Authentication with Configurable Fingerprints for 6G-Enabled IoT
Physical-Layer Authentication (PLA) has been recently believed as an endogenous-secure and energy-efficient technique to recognize IoT terminals.
Latent Semantic Diffusion-based Channel Adaptive De-Noising SemCom for Future 6G Systems
Upon the designed DNSC architecture, we further combine adversarial learning, variational autoencoder, and diffusion model to propose the Latent Diffusion DNSC (Latent-Diff DNSC) scheme to realize intelligent online de-noising.
Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communication
Semantic communication serves as a novel paradigm and attracts the broad interest of researchers.
A Specific Task-oriented Semantic Image Communication System for substation patrol inspection
Inspired by that only some specific details of the image are needed in such substation patrol inspection task, we proposed a new paradigm of semantic enhancement in such specific task to ensure the clarity of key semantic information when facing a lower bit rate or a low signal-to-noise ratio situation.
Graph Neural Networks for Distributed Power Allocation in Wireless Networks: Aggregation Over-the-Air
In this paper, we aim to design low signaling overhead distributed power allocation schemes by using graph neural networks (GNNs), which are scalable to the number of wireless links.
Innovative semantic communication system
In particular, the semantic communication system for image, namely AESC-I, is designed to verify the feasibility of the new paradigm.
Defect-Induced Magnetic Skyrmion in Two-Dimensional Chromium Tri-Iodide Monolayer
Chromium iodide monolayers, which have different magnetic properties in comparison to the bulk chromium iodide, have been shown to form skyrmionic states in applied electromagnetic fields or in Janus-layer devices.
Computational Physics Materials Science
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
Physiological computing uses human physiological data as system inputs in real time.
Competing correlated states and abundant orbital magnetism in twisted monolayer-bilayer graphene
Flat band moir\'e superlattices have recently emerged as unique platforms for investigating the interplay between strong electronic correlations, nontrivial band topology, and multiple isospin 'flavor' symmetries.
Strongly Correlated Electrons Mesoscale and Nanoscale Physics Materials Science
Nematic Fluctuations in an Orbital Selective Superconductor Fe$_{1+y}$Te$_{1-x}$Se$_{x}$
Near $x = 0$, in proximity to the double-stripe magnetic order of Fe$_{1+y}$Te, a diverging $B_{1g}$ nematic susceptibility is observed.
Superconductivity Strongly Correlated Electrons
Anisotropic structural dynamics of monolayer crystals revealed by femtosecond surface x-ray scattering
X-ray scattering is one of the primary tools to determine crystallographic configuration with atomic accuracy.
Materials Science
