Blockchain Network Slices in 5C C-RAN for Resource Allocation with Optimized Model

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Praveena Vaddiboina
Dr. Babburu Kiran Mai
Dr. Ramarakula Madhu

Abstract

C-RAN centralizes the baseband processing functions in data centers, making it possible to achieve greater flexibility
and efficiency in the deployment of 5G networks. In C-RAN, network slicing refers to the practice of creating multiple
virtual, end-to-end networks within a shared physical infrastructure. These slices are isolated and can be customized with distinct quality of service (QoS), bandwidth, latency, and other parameters tailored to the unique needs of the services they support. Efficient allocation and management of network resources for different slices are complex tasks. Network operators need to ensure that resources like computing, storage, and bandwidth are allocated appropriately to meet the service requirements of each slice. Hence, this paper proposed a novel BOEgRA (Blockchain Optimized Edge Computing Resource Allocation), for the dynamic resource allocation and network slicing in 5G Cloud Radio Access Networks (C-RAN). The proposed BOEgRA model incorporates blockchain technology within the edge computing model of the C-RAN. Additionally, BOEgRA comprises of the Whale Optimized Game theory model to enable efficient and adaptable resource management. Network slicing, which provides customized virtual slices for different service requirements, is seamlessly integrated into the model, facilitating the creation of multiple network slices. The model’s infrastructure components, including Base Stations and Remote Radio Heads, continuously evolve to cater to changing network demands. Security, billing, monitoring, and Quality of Service (QoS) are prioritized. Simulation analysis stated that the BOEgRA model serves as an innovative and adaptable solution for network slicing and resource allocation in the dynamic 5G C-RAN environment.

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