Applications of Artificial Intelligence in Wireless Communications and Networks

Dear Colleagues,

Wireless communications and networked systems are undergoing a significant transformation, promoted by the integration of artificial intelligence (AI) throughout all layers of communication infrastructure. From radio resource management and signal processing to end-to-end network optimization, AI is stimulating innovation. The integration of AI with emerging wireless technologies such as 5G and 6G has led to the development of intelligent and adaptive communication systems that are capable of functioning effectively in complex, dynamic, and data-rich environments.

This wave of change is not limited to terrestrial networks. Advanced applications are now expanding into satellite communications, underwater and acoustic systems, and remote sensing. Notably, image processing and machine learning are enabling breakthroughs in ocean plastic monitoring, environmental surveillance, and space-based Earth observation. These developments are vital for achieving global sustainability goals and developing smart cities, where real-time connectivity and intelligent data analysis are essential.

The adoption of AI technologies such as deep learning, reinforcement learning, and federated learning is transforming vehicular networks, Internet of Things (IoT) infrastructures, and cyber–physical systems. As wireless systems become more diverse and autonomous, there is an urgent need for research that supports robust, scalable, and intelligent communication architectures.

This Special Issue seeks high-quality research contributions and comprehensive reviews that examine recent advances and future directions in this rapidly evolving field. We welcome theoretical innovations, simulations, system designs, and experimental validations that demonstrate the transformative potential of AI in wireless communication systems across various applications.

The scope of this Special Issue includes, but is not limited to, the following topics:

• Machine learning and deep learning for wireless signal processing;
• AI-enabled optimization in 5G/6G systems;
• Intelligent resource allocation and spectrum management;
• AI for underwater and acoustic communication networks;
• Remote sensing and satellite communications enhanced by AI;
• Federated learning in wireless sensor networks;
• Vehicular networks and AI-assisted autonomous communication;
• AI-driven network security and intrusion detection;
• AI-based environmental monitoring and ocean plastic detection;
• Smart city communications and AI-based infrastructure planning;
• Cross-layer design and intelligent network architecture;
• Image processing and computer vision in communication systems;
• AI integration in edge and fog computing for real-time applications;
• Reinforcement learning for adaptive protocol design;
• Sustainability and energy efficiency through intelligent networking.

We look forward to your contributions, which will collectively shape the future of intelligent, adaptive, and sustainable wireless communication systems.

Dr. Oluwaseyi Paul Babalola
Prof. Dr. Innocent Davidson
Guest Editors

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• Artificial Intelligence (AI)
• wireless communications
• machine learning
• 5G/6G networks
• satellite communications
• underwater communications
• remote sensing
• image processing
• smart cities
• IoT
• vehicular networks
• signal processing