AI-ENABLED 6G NETWORKS FOR INTELLIGENT BROADBAND WIRELESS COMMUNICATIONS

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

The sixth generation (6G) of wireless communication systems is envisioned to deliver terabit-per-second data rates, sub-millisecond latency, ubiquitous three-dimensional coverage, and native support for massive machine-type and holographic communications. Achieving these ambitious targets requires networks that can sense, learn, reason, and act autonomously, which places Artificial Intelligence (AI) and Machine Learning (ML) at the very core of the 6G design philosophy rather than as an add-on feature, as was largely the case in earlier generations. This paper presents a comprehensive study of AI-enabled 6G networks for intelligent broadband wireless communication. We first review the key performance requirements and architectural evolution from 5G to 6G, and then examine how AI/ML techniques—including deep learning, federated learning, reinforcement learning, and large AI models—are applied to spectrum management, intelligent network slicing, massive multiple-input multiple-output (MIMO) beamforming, self-organizing networks, and physical-layer security. We further discuss key enabling technologies such as terahertz (THz) communication, reconfigurable intelligent surfaces (RIS), integrated sensing and communication (ISAC), digital twin networks, and Open RAN, and describe how their convergence with AI forms a coherent AI-native 6G ecosystem. A layered AI-enabled 6G framework is proposed, and an illustrative system-level simulation study is presented to demonstrate the potential gains of AI-driven resource management over conventional heuristic approaches in terms of throughput, latency, and energy efficiency. Finally, open research challenges relating to explainability, trustworthiness, energy sustainability, standardization, and security are identified, along with promising future research directions. The study aims to serve as a consolidated reference for researchers working at the intersection of artificial intelligence and next-generation wireless communication systems.

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Keywords

6G networks, artificial intelligence, machine learning, deep learning, federated learning, network slicing, massive MIMO, reconfigurable intelligent surfaces, terahertz communication, integrated sensing and communication, digital twin, Open RAN.