Dynamic Spectrum Sharing in 6G Ad Hoc Networks Enabling Reliable Delivery of Cloud Services in a Dense Environment

Authors

  • K. Prabu GOJAN SCHOOL OF BUSINESS AND Technology Author

DOI:

https://doi.org/10.54228/mjaret0624005

Keywords:

Dynamic Spectrum Sharing; 6G Networks; Ad Hoc Networks; Cloud Services; Blockchain; AI-based Spectrum Allocation; Q-Learning

Abstract

The objective of this paper is to describe a dynamic spectrum sharing (DSS) strategy for 6G ad hoc networks to facilitate the reliable delivery of cloud service in dense environments by integrating the blockchain and artificial intelligence (AI)-based techniques for spectrum allocation among the devices. In particular, our framework improves the spectrum efficiency of the network and reduces the interference among the devices, thereby increasing the overall network performance. For this, we propose to use a centralized distributed Q-learning-enabled scheme to improve the overall performance of the network. Our simulation results show an improvement in the spectrum efficiency of 30 % and a decrease in the latency by 20 % in comparison to the state-of-the-art approaches. This paper thus provides a scalable and secure technique for the DSS in 6G networks for the reliable delivery of cloud service in highly congested environments.

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Author Biography

  • K. Prabu, GOJAN SCHOOL OF BUSINESS AND Technology

    Assistant Professor, Department of Electronics and Communication Engineering

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Published

2024-06-30

Issue

Section

Research Articles(s)

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