Artificial intelligence revolutionizing wireless communication systems
Samarendra Nath Sur, Pradeep Kumar Vishwakarma, Ankan Bhattacharya · 2024
The integration of artificial intelligence (AI) into wireless communication systems has revolutionized the way we perceive and operate within modern telecommunication networks. AI techniques, including machine learning (ML), deep learning (DL), and reinforcement learning (RL), have been instrumental in enhancing various aspects of wireless communication systems. These include spectrum management, resource allocation, interference mitigation, power control, and quality-of-service (QoS) optimization. By leveraging AI algorithms, wireless networks can adapt dynamically to changing conditions, improve spectral efficiency, and enhance user experience. Despite the remarkable progress, several challenges persist in the integration of AI into wireless communication systems. These challenges include scalability, security, privacy concerns, computational complexity, and the need for extensive labeled data for training AI models. This abstract presents an overview of the significant advancements, challenges, and future prospects of AI in wireless communication systems.