Deep Multi-modal Neural Receiver for 6G Vehicular Communication
Fuente:
arXiv
Saved in:
| Main Authors: | Saleem, Osama, Alfaqawi, Mohammed, Merdrignac, Pierre, Bensrhair, Abdelaziz, Ribouh, Soheyb |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TransRx-6G-V2X : Transformer Encoder-Based Deep Neural Receiver For Next Generation of Cellular Vehicular Communications
by: Saleem, Osama, et al.
Published: (2024)
by: Saleem, Osama, et al.
Published: (2024)
Learning-Based Hybrid Neural Receiver for 6G-V2X Communications
by: Saleem, Osama, et al.
Published: (2025)
by: Saleem, Osama, et al.
Published: (2025)
Large Language Model-Based Semantic Communication System for Image Transmission
by: Ribouh, Soheyb, et al.
Published: (2025)
by: Ribouh, Soheyb, et al.
Published: (2025)
Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement
by: Ribouh, Soheyb, et al.
Published: (2025)
by: Ribouh, Soheyb, et al.
Published: (2025)
Graph Based Semantic Encoder Decoder Framework for Task Oriented Communications in Connected Autonomous Vehicles
by: Ribouh, Soheyb, et al.
Published: (2026)
by: Ribouh, Soheyb, et al.
Published: (2026)
Deep Multimodal Learning for Real-Time DDoS Attacks Detection in Internet of Vehicles
by: Ababsa, Mohamed, et al.
Published: (2025)
by: Ababsa, Mohamed, et al.
Published: (2025)
A Multi-modal Intelligent Channel Model for 6G Multi-UAV-to-Multi-Vehicle Communications
by: Bai, Lu, et al.
Published: (2025)
by: Bai, Lu, et al.
Published: (2025)
Novel Many-to-Many NOMA-based Communication Protocols for Vehicular Platoons
by: Bahbahani, Mohammed S., et al.
Published: (2024)
by: Bahbahani, Mohammed S., et al.
Published: (2024)
An SCMA Receiver for 6G NTN based on Multi-Task Learning
by: De Filippo, Bruno, et al.
Published: (2025)
by: De Filippo, Bruno, et al.
Published: (2025)
Efficient Deep Neural Receiver with Post-Training Quantization
by: Yellapragada, SaiKrishna Saketh, et al.
Published: (2025)
by: Yellapragada, SaiKrishna Saketh, et al.
Published: (2025)
Rydberg Atomic Receivers for Net-Zero 6G Wireless Communication and Sensing: Progress, Experiments, and Sustainable Prospects
by: Tao, Yi, et al.
Published: (2026)
by: Tao, Yi, et al.
Published: (2026)
On Transfer Learning for a Fully Convolutional Deep Neural SIMO Receiver
by: Uyoata, Uyoata E., et al.
Published: (2024)
by: Uyoata, Uyoata E., et al.
Published: (2024)
Deep Reinforcement Learning-aided Transmission Design for Energy-efficient Link Optimization in Vehicular Communications
by: Wang, Zhengpeng, et al.
Published: (2024)
by: Wang, Zhengpeng, et al.
Published: (2024)
Superimposed DMRS for Spectrally Efficient 6G Uplink Multi-User OFDM: Classical vs AI/ML Receivers
by: Rezaie, Sajad, et al.
Published: (2025)
by: Rezaie, Sajad, et al.
Published: (2025)
Deep Mismatch Channel Estimation in IRS based 6G Communication
by: Saha, Swapnil, et al.
Published: (2025)
by: Saha, Swapnil, et al.
Published: (2025)
Integrated Sensing, Communication, and Positioning in Cellular Vehicular Networks
by: Tong, Xin, et al.
Published: (2025)
by: Tong, Xin, et al.
Published: (2025)
Integrated Sensing, Computing and Semantic Communication for Vehicular Networks
by: Yang, Yinchao, et al.
Published: (2025)
by: Yang, Yinchao, et al.
Published: (2025)
Joint Communications, Sensing, and Positioning in 6G Multi-Functional Satellite Systems: Survey and Open Challenges
by: Sheemar, Chandan Kumar, et al.
Published: (2025)
by: Sheemar, Chandan Kumar, et al.
Published: (2025)
Feasibility Study of VLC-Based Collective Perception for Vehicular Communication
by: Nakano, Kosuke, et al.
Published: (2026)
by: Nakano, Kosuke, et al.
Published: (2026)
Interference Cancellation Based Neural Receiver for Superimposed Pilot in Multi-Layer Transmission
by: Xiao, Han, et al.
Published: (2024)
by: Xiao, Han, et al.
Published: (2024)
Multi-Functional RIS Integrated Sensing and Communications for 6G Networks
by: Han, Dongsheng, et al.
Published: (2024)
by: Han, Dongsheng, et al.
Published: (2024)
A Low-Cost Monopulse Receiver with Enhanced Estimation Accuracy Via Deep Neural Network
by: Zhang, Hanxiang, et al.
Published: (2024)
by: Zhang, Hanxiang, et al.
Published: (2024)
Resilience of LTE-A/5G-NR links Against Transient Electromagnetic Interference
by: Saleem, Sharzeel, et al.
Published: (2025)
by: Saleem, Sharzeel, et al.
Published: (2025)
Multi-Carrier Rydberg Atomic Quantum Receivers with Enhanced Bandwidth Feature for Communication and Sensing
by: Wang, Huizhi, et al.
Published: (2025)
by: Wang, Huizhi, et al.
Published: (2025)
Single Input Multi Output Model of Molecular Communication via Diffusion with Spheroidal Receivers
by: Isik, Ibrahim, et al.
Published: (2024)
by: Isik, Ibrahim, et al.
Published: (2024)
Novel Deep Neural OFDM Receiver Architectures for LLR Estimation
by: Karakoca, Erhan, et al.
Published: (2025)
by: Karakoca, Erhan, et al.
Published: (2025)
Rydberg Atomic Receivers for Multi-Band Communications and Sensing
by: Cui, Mingyao, et al.
Published: (2025)
by: Cui, Mingyao, et al.
Published: (2025)
Agentic AI meets Neural Architecture Search: Proactive Traffic Prediction for AI-RAN
by: Salama, Abdelaziz, et al.
Published: (2025)
by: Salama, Abdelaziz, et al.
Published: (2025)
Deep Learning Based Dynamic Environment Reconstruction for Vehicular ISAC Scenarios
by: Song, Junzhe, et al.
Published: (2025)
by: Song, Junzhe, et al.
Published: (2025)
RSMA-Assisted Multi-Functional 6G: Integrated Sensing, Communication, and Powering
by: Jiang, Xiaoxuan, et al.
Published: (2026)
by: Jiang, Xiaoxuan, et al.
Published: (2026)
A Compute&Memory Efficient Model-Driven Neural 5G Receiver for Edge AI-assisted RAN
by: Abdollahpour, Mahdi, et al.
Published: (2025)
by: Abdollahpour, Mahdi, et al.
Published: (2025)
MRR-Based Line-Laser Scanning for Reliable Vehicular Positioning and Optical Communication
by: Dabiri, Mohammad Taghi, et al.
Published: (2025)
by: Dabiri, Mohammad Taghi, et al.
Published: (2025)
Movable Antenna Assisted Flexible Beamforming for Integrated Sensing and Communication in Vehicular Networks
by: Sun, Luyang, et al.
Published: (2025)
by: Sun, Luyang, et al.
Published: (2025)
Tensor-Based Receivers for the Bistatic Sensing and Communication Scenario
by: Freitas Jr., Walter da C., et al.
Published: (2024)
by: Freitas Jr., Walter da C., et al.
Published: (2024)
Integration of 5G and Motion Sensors for Vehicular Positioning: A Loosely-Coupled Approach
by: Saleh, Sharief, et al.
Published: (2024)
by: Saleh, Sharief, et al.
Published: (2024)
Deep Reinforcement Learning-Aided Strategies for Big Data Offloading in Vehicular Networks
by: Akyildiz, Talha, et al.
Published: (2025)
by: Akyildiz, Talha, et al.
Published: (2025)
Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review
by: Jiang, Wei, et al.
Published: (2023)
by: Jiang, Wei, et al.
Published: (2023)
How Can Optical Communications Shape the Future of Deep Space Communications? A Survey
by: Karmous, Sarah, et al.
Published: (2022)
by: Karmous, Sarah, et al.
Published: (2022)
Communication-Assisted Sensing in 6G Networks
by: Dong, Fuwang, et al.
Published: (2023)
by: Dong, Fuwang, et al.
Published: (2023)
A LiDAR-Aided Channel Model for Vehicular Intelligent Sensing-Communication Integration
by: Huang, Ziwei, et al.
Published: (2024)
by: Huang, Ziwei, et al.
Published: (2024)
Similar Items
-
TransRx-6G-V2X : Transformer Encoder-Based Deep Neural Receiver For Next Generation of Cellular Vehicular Communications
by: Saleem, Osama, et al.
Published: (2024) -
Learning-Based Hybrid Neural Receiver for 6G-V2X Communications
by: Saleem, Osama, et al.
Published: (2025) -
Large Language Model-Based Semantic Communication System for Image Transmission
by: Ribouh, Soheyb, et al.
Published: (2025) -
Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement
by: Ribouh, Soheyb, et al.
Published: (2025) -
Graph Based Semantic Encoder Decoder Framework for Task Oriented Communications in Connected Autonomous Vehicles
by: Ribouh, Soheyb, et al.
Published: (2026)