Artificial Intelligence (AI) has emerged as a key enabling technology for next-generation communication systems, driving significant advancements across science, engineering, and industry. Recent progress in algorithm design, optimization techniques, and computational intelligence has empowered AI to address increasingly complex and dynamic problems. From machine learning and deep learning to reinforcement learning and evolutionary computation, AI-driven methodologies are fundamentally transforming a wide range of application domains.

In particular, the evolution toward Beyond 5G (B5G) and 6G networks introduces unprecedented challenges, including ultra-low latency, massive connectivity, intelligent resource management, and autonomous network operation. These emerging systems demand highly adaptive, scalable, and efficient solutions capable of operating in complex and heterogeneous environments. AI is expected to play a pivotal role in enabling self-optimizing, context-aware, and intelligent wireless networks, thereby supporting next-generation services and applications.

Despite these promising developments, several critical challenges remain in the design and deployment of AI-enabled systems. Issues such as model generalization, computational complexity, data efficiency, robustness, interpretability, and real-time implementation continue to require innovative algorithmic solutions. These challenges are further amplified in B5G/6G networks, where stringent performance requirements and dynamic system conditions necessitate advanced learning and optimization frameworks.

The aim of this special session is to bring together researchers and practitioners to present cutting-edge contributions in AI-driven algorithms and their applications in B5G/6G systems. The session will provide a platform for exchanging ideas on novel methodologies, theoretical advances, and practical implementations that will shape the future of intelligent wireless communications.

Topics of Interest

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

• AI for Beyond 5G (B5G) and 6G communication systems
• Machine learning for wireless resource allocation and network optimization
• AI-driven physical layer design and signal processing
• Learning-based optimization for NOMA, RSMA, and next-generation multiple access schemes
• Intelligent reflecting surfaces (RIS) and AI-enabled wireless systems
• AI for ultra-reliable low-latency communications (URLLC)
• AI for massive machine-type communications (mMTC)
• Federated learning and distributed AI for wireless networks
• AI for UAV-assisted and edge-enabled communication systems
• AI in Internet of Things (AIoT) and edge intelligence
• Deep learning for channel estimation, detection, and prediction
• Reinforcement learning for dynamic spectrum access and network control
• Hybrid AI models and intelligent communication systems
• Simulation, evaluation, and benchmarking of AI-based wireless algorithms
• Ethical, secure, and trustworthy AI for next-generation networks

Session Chair

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• Dr. Nguyen Quang Sang, Posts and Telecommunications Institute of Technology (PTIT), Vietnam

Important Dates

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• 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: Dr. Nguyen Quang Sang (sangnq@ptit.edu.vn)