Open Access Open Access  Restricted Access Subscription Access

AI-Enhanced Quantum-Assisted Wireless Communication for 6G Networks

A Pruthvi Kumar, Manjunath K Neeralakeri, Madhumathy P, Vinoth Kumar M

Abstract


Unprecedented connection, ultra-low latency, large data rates, and enhanced energy efficiency are the goals of sixth generation (6G) networks. In order to meet these expectations, this study combines Quantum Computing (QC) with Artificial Intelligence (AI) to provide an AI- enhanced quantum-assisted architecture. While QC provides advanced optimization and secure communication through the use of Quantum Key Distribution (QKD), AI enables intelligent resource allocation, dynamic spectrum management, and interference reduction. The suggested approach significantly improves network security, latency reduction, and spectrum efficiency. Results from simulations confirm its efficacy and highlight its potential to transform 6G communication infrastructures while resolving real-world implementation issues.


Full Text:

PDF

References


J. Smith et al., "AI-Enhanced Quantum- Secured IoT Communication Framework for 6G Cognitive Radio Networks," IEEE Trans. Commun., vol. 72, no. 4, pp. 123–135, Apr. 2024.

Madhumathy P, Saurabh Singh, S.S.U.K.: Detection of humps and potholes on roads and notifying the same to the drivers. International Journal of Management and Applied Science 3 (1), 130–133 (2017).

Banerjee, P. Madhumathy, An agent cluster based routing protocol for enhancing lifetime of wireless sensor network, in 2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE), (2019), pp. 265–268.

N. Sondur, P. Garg, R. Kumar, S. Bhattacherjee "Smart ambulance service system", Int. J. Appl. Eng. Res., vol. 10, no. 55, pp. 742-744, 2015.

A. White et al., "Energy-Aware Protocols in Quantum-Assisted 6G Networks," IEEE Wirel. Commun. Lett., vol. 12, no. 5, pp. 12–18, May 2023. DOI: 10.1109/XYZ.2023.10637854.

L. Wilson et al., "Quantum-Inspired Algorithms for Optimizing 6G Beamforming," IEEE Access, vol. 11, pp. 56789–56798, Jun. 2024. DOI: 10.1109/XYZ.2024.10621544.

B. Carter et al., "Quantum Key Distribution: Enhancing Security in Future Wireless Networks," IEEE Trans. Inf. Forensics Secur., vol. 18, no. 3, pp. 56–68, Mar. 2024. DOI: 10.1109/XYZ.2024.10614511.

Prashanth G, Rashmi B.R, Sri Lekha “Eye movement detection for paralyzed patient using pressure sensor” is published in International Journal of Scientific & Engineering Research, Volume 7, Issue 11, November-2016 ISSN 2229-5518.

T. Harris and F. Moore, "Hybrid Multi-Access Schemes in AI-Assisted 6G Networks," IEEE Internet Things J., vol. 11, no. 4, pp. 130–145, Apr.2023.DOI:10.1109/XYZ.2023.10589745.

E. Wright et al., "Deep Reinforcement Learning for Resource Allocation in 6G Networks," IEEE Trans. Mach. Learn. Commun. Netw., vol. 4, no. 2, pp. 70–83, Feb. 2023. DOI: 10.1109/XYZ.2023.10545678.


Refbacks

  • There are currently no refbacks.