Citation

Umar, Ubaid and Waseem, Athar and Naveed, Aqdas and Irfan, Muhammad and Munir, Fahad and Ayub, Sara and Roslee, Mardeni (2025) Powering the 6G and Beyond Wireless Era: AI and Deep Learning Innovations. In: 2025 International Conference on Engineering and Emerging Technologies (ICEET), 22-23 October 2025, Kuala Lumpur, Malaysia.

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Abstract

The sixth generation (6G) of wireless networks is envisioned to deliver terabit-per-second data rates, sub-millisecond latency, and pervasive intelligence across heterogeneous environments. This paper presents a comprehensive review and a novel Unified AI-Native 6G Framework that integrates artificial intelligence (AI) and machine learning (ML) across all network layers. The study categorizes existing research into key subdomains, network intelligence, resource allocation, signal processing, spectrum management, edge intelligence, and security, and provides a comparative analysis of state-of-the-art AI-driven 6G solutions. Building upon these understandings, the proposed framework introduces five core components: an Edge-AI Orchestrator for adaptive resource management, Photonic Accelerators for ultra-fast signal inference, a Federated Learning-based Intrusion Detection System (FL-IDS) for privacy-preserving security, an LLM-Enhanced Controller for explainable policy generation, and a Data Lake with Digital Twin for global optimization and simulation. Simulation results demonstrate that the proposed model achieves improves energy efficiency compared with conventional architectures. These findings validate that AI-native designs can significantly enhance reliability, responsiveness, and sustainability in future 6G deployments. The paper concludes with application discussions in XR, autonomous systems, and IoT, highlighting the transformative potential of AI-integrated 6G networks.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	6G; deep learning; artificial intelligence; edge AI; resource optimization; 6G and beyond
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	20 Apr 2026 02:22
Last Modified:	20 Apr 2026 02:22
URII:	http://shdl.mmu.edu.my/id/eprint/15752

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