SPECIAL SESSION ON INTELLIGENT MOBILITY AND AI-NATIVE COMMUNICATION TECHNOLOGIES

The rapid evolution of intelligent transportation, autonomous aerial systems, and next-generation wireless technologies is transforming the future of connected society. Emerging applications such as unmanned aerial vehicles (UAVs), high-speed rail (HSR) communications, autonomous transportation, integrated sensing and communication, and AI-native networking require highly adaptive, reliable, and low-latency communication infrastructures.

Recent advances in artificial intelligence (AI), machine learning, edge intelligence, and autonomous optimization techniques have enabled new opportunities for intelligent mobility systems and advanced wireless communications. These technologies support dynamic network adaptation, predictive resource management, autonomous operation, and real-time decision-making in highly complex and fast-varying environments.

Particularly in UAV-assisted networks, high-mobility communication scenarios, and intelligent transportation systems, conventional communication frameworks face significant challenges related to mobility management, channel dynamics, reliability, latency, and energy efficiency. AI-driven methodologies are expected to play a critical role in enabling robust, scalable, and autonomous communication architectures for future B5G/6G ecosystems.

This special session aims to bring together researchers, engineers, and practitioners working on intelligent mobility systems, UAV-enabled communications, high-speed transportation networks, and advanced AI-driven wireless technologies. The session will provide a platform for presenting novel theoretical developments, optimization frameworks, practical implementations, and emerging applications in next-generation intelligent communication systems.

Topics of Interest

The special session seeks original contributions including, but not limited to, the following topics:

  • AI-enabled UAV communication and networking
  • High-speed rail (HSR) and high-mobility wireless communications
  • UAV-assisted edge computing and edge intelligence
  • AI for intelligent transportation systems (ITS)
  • Autonomous networking and self-organizing communication systems
  • Integrated sensing and communication (ISAC)
  • Digital twin for intelligent communication systems
  • AI-driven mobility management and handover optimization
  • Resource allocation and trajectory optimization for UAV systems
  • Machine learning for vehicular and railway communications
  • AI-enabled satellite-air-ground integrated networks
  • Semantic and goal-oriented communications
  • Low-latency and ultra-reliable communication technologies
  • AI for energy-efficient wireless systems
  • RIS-assisted UAV and transportation communications
  • Edge AI and distributed intelligence for mobile systems
  • Intelligent communication for autonomous vehicles and robotics
  • Secure and trustworthy AI for mobility networks
  • AI-enabled IoT and cyber-physical communication systems
  • Reinforcement learning for dynamic network control
  • Simulation, experimentation, and testbeds for intelligent communication technologies

Session Chair

  • Assoc. Prof. Pham Thanh Hiep, Le Quy Don Technical University, Vietnam

Important Dates

  • Paper Submission Deadline: As per the main conference tracks
  • Notification of Acceptance: As per the main conference tracks
  • Camera-Ready Submission: As per the main conference tracks

Contact: Assoc. Prof. Pham Thanh Hiep (thanhhiep@lqdtu.edu.vn)