Efficient Load Distribution in C-RAN: A Priority-based Level Order Traversal Approach

The Cloud Radio Access Network addresses future communication challenges by managing massive traffic demands through its cloud-based infrastructure. C-RAN’s dynamic adjustments of Baseband Units to Remote Radio Heads connections enable flexible resource allocation based on traffic conditions, allowing overloaded BBUs to offload RRHs to underloaded BBUs to enhance Quality of Service and minimise user disconnections. This paper introduces a C-RAN framework with an intelligent algorithm using a Priority-based Level Order Traversal Approach, identifying suitable BBUs to efficiently reallocate RRHs while maintaining connectivity. Compared to the Genetic Algorithm, our approach minimises handovers with the minimum possible RRH switches while strategically balancing network load, thereby improving Quality of Service.

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Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/fnwf63303.2024.11028719
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
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article

Efficient Load Distribution in C-RAN: A Priority-based Level Order Traversal Approach

S. M. Ahsan Kazmi, Hamed Al‐Raweshidy, Mazhar Malik, M. Khan
Energy Harvesting in Wireless Networks
article

Efficient Load Distribution in C-RAN: A Priority-based Level Order Traversal Approach

S. M. Ahsan Kazmi, Hamed Al‐Raweshidy, Mazhar Malik, M. Khan
article en

Abstract

The Cloud Radio Access Network addresses future communication challenges by managing massive traffic demands through its cloud-based infrastructure. C-RAN’s dynamic adjustments of Baseband Units to Remote Radio Heads connections enable flexible resource allocation based on traffic conditions, allowing overloaded BBUs to offload RRHs to underloaded BBUs to enhance Quality of Service and minimise user disconnections. This paper introduces a C-RAN framework with an intelligent algorithm using a Priority-based Level Order Traversal Approach, identifying suitable BBUs to efficiently reallocate RRHs while maintaining connectivity. Compared to the Genetic Algorithm, our approach minimises handovers with the minimum possible RRH switches while strategically balancing network load, thereby improving Quality of Service.

University of the West of England (GB), Brunel University of London (GB)
Openalex Percentile: Top 72%
Energy Harvesting in Wireless Networks
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Efficient Load Distribution in C-RAN: A Priority-based Level Order Traversal Approach — S. M. Ahsan Kazmi, Hamed Al‐Raweshidy, et al. · (2024) | TGRS Research Map | TGRS