Techniques to improve 5G blockchain scalability issues through an analysis of a blockchain scalability

Abstract

As 5G networks advance, integrating blockchain technology to enhance security and decentralization shows great potential but faces significant scalability challenges. This study focuses on addressing these scalability issues in 5G blockchain networks by analyzing key factors such as transaction throughput, consensus mechanisms, and network latency. We propose several models to improve scalability, including sharding, sidechains, optimized consensus algorithms, and off-chain solutions. These models were evaluated through simulations using real-time data, with accuracy levels of up to 95% in predicting performance improvements across various metrics. The paper investigates the challenges specific to 5G environments, such as high transaction volumes and diverse device requirements, and assesses the strengths and limitations of each scalability technique in this context. Our findings highlighted potential synergies between these solutions and the unique features of 5G network architecture, offering tailored strategies for enhancing blockchain scalability. Additionally, the study addresses energy efficiency concerns associated with blockchain technologies and suggests optimization strategies. Simulated results are compared with real-world data, achieving accuracy rates of over 90% in identifying bottlenecks and validating the effectiveness of the proposed solutions. The insights presented aim to optimize 5G blockchain performance in dynamic, resource-constrained environments, facilitating the adoption of secure and decentralized applications in next-generation networks.