Paper Contents
Abstract
This paper delves into the transformative role of Artificial Intelligence (AI) in shaping wireless networks, highlighting its contribution to optimizing performance, strengthening security, and enabling seamless connectivity for next-generation communication systems. Drawing from five influential research studies, the review examines AI-driven innovations in wireless resource management, intelligent edge computing, and adaptive security strategies. Key advancements include dynamic spectrum management, predictive maintenance of network elements, and the integration of AI with 5G and future technologies to achieve ultra-low latency and enhanced reliability. Challenges such as data privacy concerns, computational overhead, and real-time decision-making in large-scale networks are critically analyzed. The discussion explores the application of AI models like reinforcement learning, deep neural networks, and federated learning for improving energy efficiency and facilitating intelligent automation in wireless infrastructure. A particular focus is placed on AI's impact on supporting Internet of Things (IoT) ecosystems and promoting sustainable network operations. The study underscores the importance of interdisciplinary efforts to develop robust AI algorithms that adhere to evolving wireless standards. Looking ahead, research priorities include creating explainable AI frameworks, advancing edge AI capabilities, and addressing ethical considerations to unlock AI's full potential in transforming wireless communication.
Copyright
Copyright © 2024 Mr. Kamal Saini, Raj Aditya. This is an open access article distributed under the Creative Commons Attribution License.
