Markov Chain-based Model of Blockchain Radio Access Networks

TL;DR

This paper presents a Markov chain-based framework for blockchain-enabled radio access networks that improves latency and maintains security, addressing limitations of existing models.

Contribution

It introduces a novel Markov chain and queuing theory-based model for B-RAN, enhancing performance analysis and security assessment.

Findings

Reduced latency in B-RAN

Comparable security levels to existing models

Effective modeling of timing factors

Abstract

Security has always been a priority, for researchers, 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 aspects. The results demonstrate reduced latency and comparable security making the presented framework suitable for diverse application scenarios.