Markov Chain-Based Model of Blockchain Radio Access Networks

Security has always been a priority, for re- searchers, service providers and network operators when it comes to radio access networks (RAN). One wireless access approach that has captured attention is blockchain enabled RAN (B-RAN) due to its secure nature. This research introduces a framework that integrates blockchain technology into RAN while also addressing the limitations of state-of-the-art models. The proposed framework utilizes queuing and Markov chain theory to model the aspects of B-RAN. An extensive evaluation of the models performance is provided, including an analysis of timing factors and a focused assessment of its security as- pects. The results demonstrate reduced latency and comparable security making the presented framework suitable for diverse application scenarios.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/camad62243.2024.10942918
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
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article

Markov Chain-Based Model of Blockchain Radio Access Networks

Theodoros A. Tsiftsis, Stylianos E. Trevlakis, Hongwu Liu, Octavia A. Dobre et al.
Software-Defined Networks and 5G
article

Markov Chain-Based Model of Blockchain Radio Access Networks

Theodoros A. Tsiftsis, Stylianos E. Trevlakis, Hongwu Liu, Octavia A. Dobre, Alexandros–Apostolos A. Boulogeorgos, Vasileios Kouvakis
article en

Abstract

Security has always been a priority, for re- searchers, service providers and network operators when it comes to radio access networks (RAN). One wireless access approach that has captured attention is blockchain enabled RAN (B-RAN) due to its secure nature. This research introduces a framework that integrates blockchain technology into RAN while also addressing the limitations of state-of-the-art models. The proposed framework utilizes queuing and Markov chain theory to model the aspects of B-RAN. An extensive evaluation of the models performance is provided, including an analysis of timing factors and a focused assessment of its security as- pects. The results demonstrate reduced latency and comparable security making the presented framework suitable for diverse application scenarios.

Memorial University of Newfoundland (CA), University of Thessaly (GR), Shandong Jiaotong University (CN), Hellenic Agency for Local Development and Local Government (GR), University of Western Macedonia (GR)
Openalex Percentile: Top 65%
Software-Defined Networks and 5G
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