The advancements in mobile networks over the generations have been remarkable, with broad improvements typically observed for each generation. As we begin to transition into the 6G era, it will be important to see what technologies, applications, and challenges mold this new state of connectivity. This paper explores the journey from AI-centric 6G networks, work being done to secure them, technology matters, and recommendations for future research on 6 G. 6G has the potential to change the future state in many industries including smart cities, self-driving, virtual reality, gaming, health care, industrial automation, and UAV communication. But, 6G deployment will involve risk to security related to vulnerabilities in architecture, data privacy, and security issues we may not yet know. Possible technological solutions explored will focus on post-quantum cryptography (public-key algorithms), blockchain authentication, hierarchical security models, and standardized electronic network security protocols. Major 6 G-denoting technologies we see used include terahertz communication, ultra-massive MIMO, beamforming, cell-free massive MIMO, millimeter waves, reconfigurable intelligent surfaces, quantum communication, and UAV/satellite networks. Future work will include high-frequency communication, AI network management, efficient hardware, and secure encryptions like quantum key distribution (QKD). This survey offers a comprehensive and explicit perspective on the promise of AI-enabled 6G wireless communication networks.
AI-Driven Networks, 6G, Security Challenges, Key Technologies, Evolution from 1G to 6G, Applications, Future Research Directions.
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