Abstract
Artificial Intelligence (AI) and Sixth-Generation (6G) wireless communication technologies are poised to revolutionize global digital ecosystems. Unlike ancestral generations, 6G is conceptualized as an AI-native network wherein machine learning paradigms are natively embedded into the core architectural fabric. This integration delivers terabit-per-second (Tbps) data rates, sub-millisecond latencies, intelligent edge-resource orchestration, and autonomous self-healing capabilities. This paper provides a granular evaluation of the opportunities and structural challenges characterizing AI-driven 6G networks, with an empirical focus on Rewa District, Madhya Pradesh. By assessing regional socioeconomic indicators, we map out 6G deployment frameworks for smart education, precision agriculture, remote healthcare, and digital governance. Furthermore, we address localized technical bottlenecks—such as Terahertz (THz) propagation path loss, deployment economics, and cyber-security vulnerabilities. Ultimately, this study offers architectural blueprints and policy suggestions to drive digital inclusion and sustainable development within semi-urban and rural blocks of the Vindhya region.
KEYWORDS
AI-Native Networks, 6G Architecture, Digital Transformation, Edge Intelligence, Precision Agriculture, Semantic Communication.
Deepak Kumar Singraul1, Satish Patel2, Amit Sahu3*
1Dept. of Computer Science & Application, Govt. Shyam Sundar Agrawal P.G. College Sihora, Jabalpur-483225, M.P., India
2Research Scholar, APS University, Rewa-486003, M.P., India
3Research Scholar, Mansarovar Global University, Sehore-466111, M.P., India