Proceedings of the International Conference on Materials, Energy, Environment & Manufacturing Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)

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Exploring AI-Enhanced Approaches for Signal Detection and Localization in 6G: A Review Towards Trends, Challenges, and Future Directions

Authors
Dinesh Ashok Arani1, *, Rajesh Kumar Upadhyay1
1Department of Electrical and Electronics Engineering, Mangalayatan University, Aligarh, 202146, Uttar Pradesh, India
*Corresponding author. Email: daarani1996@gmail.com
Corresponding Author
Dinesh Ashok Arani
Available Online 16 June 2025.
DOI
10.2991/978-94-6463-762-5_9How to use a DOI?
Keywords
6 G wireless networks; Localization; Signal Detection; Terahertz (THz); Artificial Intelligence
Abstract

This paper discusses advancements in AI-enhanced signal detection and localization under 6G networks, focusing on high frequency bands and complex interference patterns. It highlights AI frameworks like machine learning, deep learning, and reinforcement learning for improved signal processing, localization, and adaptive resource management. However, the paper also addresses challenges like computational complexity, privacy issues, and scaling up solutions. The review provides insights into how AI can be used to design efficient, resilient, and scalable solutions for next-generation wireless networks.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Materials, Energy, Environment & Manufacturing Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)
Series
Advances in Engineering Research
Publication Date
16 June 2025
ISBN
978-94-6463-762-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-762-5_9How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Dinesh Ashok Arani
AU  - Rajesh Kumar Upadhyay
PY  - 2025
DA  - 2025/06/16
TI  - Exploring AI-Enhanced Approaches for Signal Detection and Localization in 6G: A Review Towards Trends, Challenges, and Future Directions
BT  - Proceedings of the International Conference on Materials, Energy, Environment & Manufacturing Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)
PB  - Atlantis Press
SP  - 86
EP  - 99
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-762-5_9
DO  - 10.2991/978-94-6463-762-5_9
ID  - Arani2025
ER  -