A Survey on Semantic Communications in Internet of Vehicles. [PDF]
The Internet of Vehicles (IoV), as the core of intelligent transportation system, enables comprehensive interconnection between vehicles and their surroundings through multiple communication modes, which is significant for autonomous driving and ...
Ye S, Wu Q, Fan P, Fan Q.
europepmc +2 more sources
Cloud-Edge Collaborative Personalized Deployment of Knowledge Bases in Semantic Communications. [PDF]
With the rapid evolution of next-generation mobile communications, semantic communication has emerged as an intelligent communication paradigm capable of surpassing the Shannon limit. A fundamental prerequisite for this paradigm is the synchronization of
Yang K, Han Y, Xu Y, Chen M.
europepmc +2 more sources
Rate-Distortion-Perception Optimized Neural Speech Transmission System for High-Fidelity Semantic Communications. [PDF]
We consider the problem of learned speech transmission. Existing methods have exploited joint source–channel coding (JSCC) to encode speech directly to transmitted symbols to improve the robustness over noisy channels.
Yao S, Xiao Z, Niu K.
europepmc +2 more sources
CNN and Attention-Based Joint Source Channel Coding for Semantic Communications in WSNs. [PDF]
Wireless Sensor Networks (WSNs) have emerged as an efficient solution for numerous real-time applications, attributable to their compactness, cost-effectiveness, and ease of deployment.
Liu X, Huang Z, Zhang Y, Jia Y, Wen W.
europepmc +2 more sources
Navigating the future of wireless networks: A multidimensional survey on semantic communications
This paper offers an in-depth exploration of semantic communications, focusing on its integral role in wireless networks. We dissect its foundational architecture and the key elements that enable seamless AI integration. Our research categorizes semantic
Kyunghi Chang, Azharul Islam
exaly +3 more sources
Reinforcement Learning for Secure Semantic LEO Satellite Networks: Joint Fidelity-Secrecy Power Allocation. [PDF]
Semantic communications have emerged as a key paradigm for intelligent sixth-generation (6G) wireless networks, which aim to convey the meaning of information rather than accurate bit sequences.
Zhou F, Zhu X.
europepmc +2 more sources
Hierarchical Semantic Transmission and Lyapunov-Optimized Online Scheduling for the Internet of Vehicles. [PDF]
The inherent redundancy in vehicle sensor data, coupled with constrained onboard resources and stringent latency requirements, renders traditional bit-oriented transmission paradigms inefficient for autonomous-driving perception tasks.
Jiang L, Guo Y, Zhang W, Wang P, Han S.
europepmc +2 more sources
Advances and challenges in semantic communications: A systematic review
Inspired by the recent success of machine learning (ML), the concept of semantic communication introduced by Weaver in 1949 has gained significant attention and has become a promising research direction.
Zhang Ping +3 more
doaj +1 more source
Task-Oriented Data Compression for Multi-Agent Communications Over Bit-Budgeted Channels
Various applications for inter-machine communications are on the rise. Whether it is for autonomous driving vehicles or the Internet of everything, machines are more connected than ever to improve their performance in fulfilling a given task.
Arsham Mostaani +3 more
doaj +1 more source
On the Role of ViT and CNN in Semantic Communications: Analysis and Prototype Validation
Semantic communications have shown promising advancements by optimizing source and channel coding jointly. However, the dynamics of these systems remain understudied, limiting research and performance gains.
Hanju Yoo +3 more
doaj +1 more source

