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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM33163

AI-RAN in 6G Networks

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM33163

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NGN

Navya G N

PKMJ

Prasanna Kumar M J

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Abstract

6G is a next-generation cellular communication technology that builds up on existing 5G networks which are currently rolled out worldwide. Through incorporation of artificial intelligence (AI) and machine learning (ML), the core 5G network is advanced into an intelligent 6G network. The 6G Artificial Intelligence Radio Access Network (AI-RAN) is anticipated to offer advanced features like reduced latency, improved bandwidth, data rates and coverage. Furthermore, AI-RAN is expected to support complex use cases such as extreme connectivity and multi-user communications and dynamic spectrum access. This paper provides a detailed survey and thorough assessment of AI-RAN’s vision and state-of-the-art challenges. We first present a concise introduction to 6G AI-RAN followed by background information on the current 5G RAN and its challenges that must be overcome to implement 6G AIRAN. The paper then examines trending research issues in AI-RAN, i.e., challenges related to spectrum allocation, network architecture, and resource management. We discuss the methods to overcome these challenges which include the adoption of advanced machine learning and edge computing technologies to boost the performance of 6G AI-RAN. We conclude by stating open research directions

KEYWORDS

5G 6G AI-RAN AI/ML radio and future Internet architecture.

Cite This Article

Navya G N, Prasanna Kumar M J, "AI-RAN in 6G Networks," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024.

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Publication Date

12/31/45416

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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