Semantic Communication

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10 papers in the last four weeks, up 150% on the four weeks before. 0.1% of all new papers.

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Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction
Jan 23, 2026Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3Intelligent Transportation Systems Semantic Communication
School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada. · Nokia Bell Labs, 600 March Road, Kanata, ON K2K 2E6, Canada.
Diffusion-aided Task-oriented Semantic Communications with Model Inversion Attack
Jun 24, 2025Xuesong Wang, Mo Li, Xingyan Shi +2Semantic Communication Task-Oriented Semantic Communication
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China
ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access
May 16, 2025Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao +2Semantic Communication
The University of Hong Kong, Hong Kong · 5GIC & 6GIC, Institute for Communication Systems (ICS), University of Surrey, GU2 7XH Guildford, U.K. · Beijing Institute of Technology, Beijing 100081, China +2
Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications
Feb 17, 2025Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao +3Semantic Communication
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China · 5GIC & 6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, United Kingdom · Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland +1
Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation
Feb 12, 2025Xiang Chen, Shuying Gan, Chenyuan Feng +2Semantic Communication
School of Electronics and Information Technology, Sun Yat-sen University, China · EURECOM, Sophia Antipolis, France · Singapore University of Technology and Design, Singapore
Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications
Jan 28, 2025Hanju Yoo, Dongha Choi, Yonghwi Kim +4Semantic Communication Wireless Communications
School of Integrated Technology, Yonsei University, Seoul 03722, South Korea · Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA

Jan 23, 2026, cs.CVJ/K move · Enter open · S save

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction

Murat Arda Onsu, Poonam Lohan, Burak Kantarci, Aisha Syed+2

School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada. · Nokia Bell Labs, 600 March Road, Kanata, ON K2K 2E6, Canada.

Intelligent Transportation Systems Semantic Communication V2X Communication

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Intelligent Transportation Systems (ITS) demand real-time collision prediction to ensure road safety and reduce accident severity. Conventional approaches rely on transmitting raw video or high-dimensional sensory data from roadside units (RSUs) to vehicles, which is impractical under vehicular communication bandwidth and latency constraints. In this work, we propose a semantic V2X framework in which RSU-mounted cameras generate spatiotemporal semantic embeddings of future frames using the Video Joint Embedding Predictive Architecture (V-JEPA). To evaluate the system, we construct a digital twin of an urban traffic environment enabling the generation of d verse traffic scenarios with both safe and collision events. These embeddings of the future frame, extracted from V-JEPA, capture task-relevant traffic dynamics and are transmitted via V2X links to vehicles, where a lightweight attentive probe and classifier decode them to predict imminent collisions. By transmitting only semantic embeddings instead of raw frames, the proposed system significantly reduces communication overhead while maintaining predictive accuracy. Experimental results demonstrate that the framework with an appropriate processing method achieves a 10% F1-score improvement for collision prediction while reducing transmission requirements by four orders of magnitude compared to raw video. This validates the potential of semantic V2X communication to enable cooperative, real-time collision prediction in ITS.

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Latest papers 66

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction

Diffusion-aided Task-oriented Semantic Communications with Model Inversion Attack

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications

Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation

Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications