Markov Chain-based Model of Blockchain Radio Access Networks

2025-08-20

AI Summary

Existing modeling approaches for Blockchain-based Radio Access Networks (B-RANs) fail to jointly optimize security and ultra-low latency, while neglecting temporal dynamics and scalability limitations. To address this, we propose a unified analytical framework integrating Markov chains with multi-level queuing theory. This is the first work to jointly model security-state evolution (via Markov chains) and service-delay distributions (via queuing analysis), enabling dynamic performance characterization of the entire B-RAN workflow—including consensus, transaction verification, and data transmission. Experimental evaluation demonstrates that, while maintaining standard blockchain security guarantees (e.g., robustness against 51% attacks), our framework reduces end-to-end communication latency by 37.2%, improves throughput by 2.1×, and scales to over one thousand network nodes. This work establishes a verifiable, scalable, and theoretically grounded modeling paradigm for B-RAN design and optimization.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Evaluation and Analysis
• Reasoning under Uncertainty: Stochastic Optimization

Application Category

• Security and Privacy: Blockchains and distributed ledgers
• Web Mining and Content Analysis: Models for Web evolution
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

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.

Problem

• Modeling blockchain radio access networks using queuing and Markov chain theory
• Addressing security and latency limitations in current RAN models
• Evaluating B-RAN framework performance for diverse application scenarios

Innovation

• Blockchain integration into radio access networks
• Queuing and Markov chain theory modeling
• Reduced latency with comparable security