Papers Semantic Communication
“Semantic Communication” 태그가 달린 논문 528편 · 필터 해제
DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication
Vision-language models (VLMs) and vision-language-action models (VLAs) have recently driven rapid progress in general-purpose robots, yet most progress has focused on single-robot settings. Extending these capabilities t…
Semantic CommunicationAeroLat: Channel-Aware Latent Space Semantic Communication for Decentralized UAV Swarms
Communication in latent space offers an intriguing alternative to symbolic messages for decentralized autonomous Unmanned Aerial Vehicle (UAV) swarms operating over bandwidth-constrained, time-varying wireless links. How…
Semantic CommunicationStorage-Scalable Progressive Semantic Communication via Knowledge-Base Reuse
Existing knowledge-base-assisted semantic communication schemes commonly adopt either single knowledge-base quantization (SKBQ) or multi-knowledge-base residual quantization (MKBQ). SKBQ incurs limited storage overhead b…
Semantic CommunicationFrom State Synchronization to Cognitive Self-Evolution: An Operational Architecture for Cognitive Digital Twins
As Digital Twin (DT) systems evolve beyond state synchronization toward task-oriented and knowledge-driven operation, Cognitive Digital Twins (CDTs) have emerged as an extension that incorporates cognitive capabilities i…
Semantic CommunicationKnowledge GraphsAir-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps
Air-ground collaborative Vision-and-Language Navigation (VLN) pairs an unmanned aerial vehicle (UAV) with a global bird's-eye view and an unmanned ground vehicle (UGV) with a local first-person view, yet the setting rema…
Semantic CommunicationAda-TokenCom: Rate-Adaptive Token Communications via Large-Model-Driven Token Compression and Generation
Token Communications (TokenCom) has recently emerged as a new paradigm in which tokens serve as unified units for communication and computation, enabling efficient multimodal semantic and goal-oriented transmission. In t…
Semantic CommunicationGAN-Based Semantic Communication for Image Transmission in IoV
For cooperative perception in the internet of vehicles, this paper proposes a generative adversarial network-based semantic communication framework to address the efficiency and fidelity bottlenecks of traditional commun…
Semantic CommunicationSemantic SegmentationImage ReconstructionKnowledge Distillation Driven Semantic NOMA with GAN Refinement for 6G Robotic Vehicle Networks
To achieve sustainable intelligent mobility, 6G-empowered robotic vehicles (RVs) require high-fidelity visual perception under stringent bandwidth and energy constraints. Semantic communication offers a spectral-efficien…
Knowledge DistillationSemantic CommunicationToken-Oriented Semantic Communication with Pretrained Vision Transformers
Token communications realize the semantic communication principle at the granularity of transformer tokens, providing a promising direction for client--server collaborative inference in resource-constrained edge systems.…
Semantic CommunicationImage CompressionThe Verification Gap in Networked Physical AI: A Post-Semantic Communication Framework
A task-effective proposal is not yet a justified physical action. In networked Physical AI, a proposal may be understood while valid, timely, proposal-bound evidence or the authority required to finalize an action remain…
Semantic CommunicationTISC: A Text-Driven Image Semantic Communication System for Faithful Reconstruction
Generative image semantic communication converts an image into a text description and then performs text-to-image reconstruction at the receiver via diffusion-based generative models. This paradigm has attracted broad at…
Semantic CommunicationImage ReconstructionHeterogeneity-Aware Belief Synchronization for Semantic Communication in AI-Native 6G Networks
6G networks will not be serving as communication infrastructures only; rather, they are expected to evolve into intelligent systems, where thousands of autonomous artificial intelligence (AI) agents are interconnected. T…
Semantic CommunicationWhen Robots Exchange Meaning: A Demo of Goal-Oriented Semantic Communications for Collaborative Robotics
Collaborative robotics is a representative task-oriented 6G use-case, where communication quality should be reflected in mission execution, environment understanding, and closed-loop operation rather than packet delivery…
Semantic CommunicationRestoration Flow Matching-Based Channel Refinement and Equalization Correction for MIMO Semantic Communications
In multiple-input multiple-output (MIMO) semantic communication, imperfect channel state information (CSI) and equalization mismatch can seriously degrade semantic reconstruction quality. To address this issue, we propos…
Semantic CommunicationSemantic-Aware Task Clustering for Constructive and Cooperative Multi-Tasking
Cooperative multi-task semantic communication (CMT-SemCom) improves task execution performance by leveraging shared representations. However, as we demonstrated in [1], cooperative multi-tasking can be either constructiv…
Semantic CommunicationToward Semantic Communication for Real-time Mobile 3D Reconstruction
Real-time mobile 3D reconstruction is fundamental to many emerging applications such as autonomous navigation and digital twin construction, where a moving platform continuously captures an image stream and transmit to a…
Semantic CommunicationScene Understanding3D ReconstructionPose EstimationGoal-Oriented Semantic Communication for Distributed ISAC-Enabled Vehicle Coordination
Vehicle coordination at unsignalized intersections relies on accurate real-time vehicle state acquisition and reliable command-and-control (C&C) signal delivery. However, existing studies typically treat sensing, communi…
Semantic CommunicationVideo-Text Temporal Localization via Multi-Scale Convolution and Dynamic Routing
Video-text temporal localization requires precise alignment between natural language queries and corresponding video segments, a fundamental challenge in multimodal understanding. We present a novel framework that addres…
Computational EfficiencyNatural Language QueriesSemantic CommunicationMulti-Task LearningMinimizing Quantized Semantic Age of Information (QSAoI) in Foundation Model-Based Semantic Communications
The emerging techniques of semantic communications and edge computing in 6G networks necessitate a paradigm shift toward co-designed semantic-aware and adaptive resource allocation for short-packet transmissions. However…
Semantic CommunicationSemantic Leakage and Privacy Preservation in Relay-Assisted Semantic Communications
Semantic communication (SemCom) has emerged as a promising paradigm in which the transmission of task-relevant information is prioritized over raw data, enabling efficient and robust communication under resource and chan…
Semantic Communication