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@article{186491,
author = {Aakanksha Yogesh Hegade and Samruddhi dattatray patil and Aniket Kisan Wakase and Harshada Hambirrao Bhandigare and Arundhati Santosh Sathe and Miss Pranjal P. Farakte},
title = {Evolution from 5G to 6G: Challenges, Technologies and Future Directions},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {6},
pages = {1552-1558},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=186491},
abstract = {The shift from 5th-technology (5G) to sixth-technology (6G) wi-fi communication marks a major step towards creating an shrewd, fully linked, and sustainable digital global. While 5G has advanced mobile broadband, enabled exceptionally reliable low-latency verbal exchange, and supported large-scale device connectivity, it still faces challenges associated with strength efficiency, scalability, and international insurance.
To cope with those problems, 6G is anticipated to integrate rising technologies which includes terahertz (THz) and optical wi-fi communique, artificial intelligence (AI)-driven networking, quantum conversation, and non-terrestrial networks (NTNs). Scheduled for deployment round 2030, 6G goals to supply ultra-high statistics quotes, close to-0 latency, and wise automation throughout diverse applications, together with Industry four.Zero, smart healthcare, and immersive virtual environments.
This paper gives a complete observe of the evolution from 5G to 6G, highlighting key technological enablers, performance necessities, and architectural concerns. It also discusses ongoing standardization efforts, testbed tendencies, and open research demanding situations so as to guide future advancements in subsequent-technology communication systems.},
keywords = {5G, 6G, Beyond 5G (B5G), Terahertz (THz) Communication, Optical Wireless Communication, Non-Terrestrial Networks (NTN), Reconfigurable Intelligent Surfaces (RIS), Massive MIMO, Ultra-Reliable Low-Latency Communication (URLLC), Artificial Intelligence (AI), Machine Learning (ML), Network Automation, Edge Computing.},
month = {November},
}
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