Advances in Intelligent Wireless Communications: AI, Optimization, and Beyond

Dear Colleagues,

The rapid advancement of wireless communication technologies, particularly in the context of 5G, 6G, and massive IoT deployments, has introduced unprecedented levels of complexity, heterogeneity, and performance demands in modern communication systems. Traditional design paradigms, often based on fixed models and static optimization, are increasingly challenged by dynamic environments, diverse quality-of-service requirements, and resource constraints. In response, the integration of intelligent methodologies—encompassing artificial intelligence (AI), machine learning (ML), and advanced optimization—has gained significant attention as a means to enable adaptive, efficient, and scalable wireless communication networks.

This Special Issue, entitled “Advances in Intelligent Wireless Communications: AI, Optimization, and Beyond,” seeks to explore recent developments and emerging research at the intersection of wireless systems and intelligent decision-making techniques. The aim is to gather high-quality contributions that address both theoretical foundations and practical implementations of intelligent approaches across all layers of wireless networks. This includes novel frameworks, algorithms, and architectures that improve spectrum utilization, energy efficiency, network reliability, and service adaptability.

Topics of interest include, but are not limited to, the following:

• Intelligent signal processing.
• Adaptive and cognitive protocol design.
• Resource optimization and control.
• Learning-based and heuristic approaches.
• Data-driven network management and orchestration.
• Distributed and edge intelligence.
• Applications in IoT, UAVs, vehicular networks, and next-generation systems.

We welcome original research articles and comprehensive reviews that advance the state of the art in intelligent wireless communications.

We look forward to receiving your contributions.

Dr. Do-Yup Kim
Dr. Sung-Yeon Kim
Guest Editors

Manuscript Submission Information

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