Copertina

Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zeng, Qunsong, Wang, Zhanwei, Zhou, You, Wu, Hai, Yang, Lin, Huang, Kaibin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Ultra-Low-Latency Edge Intelligent Sensing: A Source-Channel Tradeoff and Its Application to Coding Rate Adaptation
di: Zeng, Qunsong, et al.
Pubblicazione: (2025)

Realizing Quantum Wireless Sensing Without Extra Reference Sources: Architecture, Algorithm, and Sensitivity Maximization
di: Cui, Mingyao, et al.
Pubblicazione: (2025)

Parametric-Sensitivity Aware Retransmission for Efficient AI Downloading
di: Zhou, You, et al.
Pubblicazione: (2026)

Rydberg Atomic Receivers for Multi-Band Communications and Sensing
di: Cui, Mingyao, et al.
Pubblicazione: (2025)

Towards Atomic MIMO Receivers
di: Cui, Mingyao, et al.
Pubblicazione: (2024)

Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G
di: Liu, Zhiyan, et al.
Pubblicazione: (2025)

MIMO Precoding for Rydberg Atomic Receivers
di: Cui, Mingyao, et al.
Pubblicazione: (2024)

A Theory of Single-Antenna Atomic Beamforming
di: Cui, Mingyao, et al.
Pubblicazione: (2026)

In-Memory Computing Enabled Deep MIMO Detection to Support Ultra-Low-Latency Communications
di: Ding, Tingyu, et al.
Pubblicazione: (2025)

Ultra-Low-Latency Edge Inference for Distributed Sensing
di: Wang, Zhanwei, et al.
Pubblicazione: (2024)

InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
di: Hu, Zhengyang, et al.
Pubblicazione: (2024)

Resource Management for Low-latency Cooperative Fine-tuning of Foundation Models at the Network Edge
di: Wu, Hai, et al.
Pubblicazione: (2024)

Prediction and Communication Co-design for Ultra-Reliable and Low-Latency Communications
di: Hou, Zhanwei, et al.
Pubblicazione: (2019)

Revisiting Outage for Edge Inference Systems
di: Wang, Zhanwei, et al.
Pubblicazione: (2025)

Semantic-Relevance Based Sensor Selection for Edge-AI Empowered Sensing Systems
di: Liu, Zhiyan, et al.
Pubblicazione: (2025)

Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference
di: Wang, Zhanwei, et al.
Pubblicazione: (2023)

Mobile Edge Computing Networks: Online Low-Latency and Fresh Service Provisioning
di: Yi, Yuhan, et al.
Pubblicazione: (2024)

Unanticipated Adversarial Robustness of Semantic Communication
di: Zhang, Runxin, et al.
Pubblicazione: (2026)

Towards Edge General Intelligence: Knowledge Distillation for Mobile Agentic AI
di: Wu, Yuxuan, et al.
Pubblicazione: (2025)

A MIMO ISAC System for Ultra-Reliable and Low-Latency Communications
di: Nikbakht, Homa, et al.
Pubblicazione: (2025)

Visual Fidelity Index for Generative Semantic Communications with Critical Information Embedding
di: Huang, Jianhao, et al.
Pubblicazione: (2025)

Enhanced BICM Receivers for Ultra-Reliable Low-Latency Short Packet Communications
di: Sy, Mody, et al.
Pubblicazione: (2024)

On the Performance of Short Binary BCH Codes for Ultra-Low Latency Wireless Communications
di: Morelos-Zaragoza, Robert, et al.
Pubblicazione: (2024)

Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity
di: Yang, Huiling, et al.
Pubblicazione: (2025)

Energy-Efficient Probabilistic Semantic Communication over Space-Air-Ground Integrated Networks
di: Zhao, Zhouxiang, et al.
Pubblicazione: (2024)

D$^2$-JSCC: Digital Deep Joint Source-channel Coding for Semantic Communications
di: Huang, Jianhao, et al.
Pubblicazione: (2024)

Knowledge-Driven 3D Semantic Spectrum Map: KE-VQ-Transformer Based UAV Semantic Communication and Map Completion
di: Wu, Wei, et al.
Pubblicazione: (2025)

Rethinking Multi-User Communication in Semantic Domain: Enhanced OMDMA by Shuffle-Based Orthogonalization and Diffusion Denoising
di: Zhang, Maojun, et al.
Pubblicazione: (2025)

Energy-Efficient Edge Inference in Integrated Sensing, Communication, and Computation Networks
di: Yao, Jiacheng, et al.
Pubblicazione: (2025)

Hierarchical Sparse Vector Transmission for Ultra Reliable and Low Latency Communications
di: Zhang, Yanfeng, et al.
Pubblicazione: (2026)

Adaptive Cooperative Transmission Design for Ultra-Reliable Low-Latency Communications via Deep Reinforcement Learning
di: Yu, Hyemin, et al.
Pubblicazione: (2025)

DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency Communications
di: Waxman, Adina, et al.
Pubblicazione: (2021)

Data Sourcing Random Access using Semantic Queries for Massive IoT Scenarios
di: Kalør, Anders E., et al.
Pubblicazione: (2025)

Knowledge Graph-Based Explainable and Generalized Zero-Shot Semantic Communications
di: Zhang, Zhaoyu, et al.
Pubblicazione: (2025)

Stacked Intelligent Metasurfaces for Task-Oriented Semantic Communications
di: Huang, Guojun, et al.
Pubblicazione: (2024)

Cache-enabled Generative Joint Source-Channel Coding for Evolving Semantic Communications
di: Tang, Shunpu, et al.
Pubblicazione: (2026)

On the View-and-Channel Aggregation Gain in Integrated Sensing and Edge AI
di: Chen, Xu, et al.
Pubblicazione: (2023)

Over-the-Air Fusion of Sparse Spatial Features for Integrated Sensing and Edge AI over Broadband Channels
di: Liu, Zhiyan, et al.
Pubblicazione: (2024)

Beamforming Design for Semantic-Bit Coexisting Communication System
di: Zhang, Maojun, et al.
Pubblicazione: (2024)

Generative Semantic Communication via Textual Prompts: Latency Performance Tradeoffs
di: Ren, Mengmeng, et al.
Pubblicazione: (2024)