Development of New Radio Schedulers in OpenAirInterface

This paper presents an analysis, implementation, and validation of new radio schedulers within the OpenAirInterface (OAI) framework. Leveraging the flexibility of OAI, we scrutinize existing MAC layer functionalities and propose enhancements through the integration of new scheduling algorithms. Our study involves a meticulous evaluation of the new scheduling techniques, considering factors such as throughput and fairness. The implementation process is thoroughly detailed, highlighting the integration of these schedulers into the OAI ecosystem. The validation of these new scheduling techniques is conducted using a 5G Standalone network testbed, incorporating real radio interfaces facilitated by software-defined radio technology. Results demonstrate significant improvements in network performance, particularly in terms of throughput and fairness. Our implementation also supports dynamic control of scheduler behavior during runtime, offering a robust platform for future innovation. This work lays the groundwork for future research in advanced scheduling algorithms for 5G and beyond, providing a robust platform for further innovation.

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Publication Details

Published
2024-08-13
DOI
https://doi.org/10.1145/3685323.3685333
Citations
2
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
2.60
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article

Development of New Radio Schedulers in OpenAirInterface

Claudina Rattaro, Pablo Andrés Vázquez, Lucas Inglés, Wilder Peña et al.
2 citations
Satellite Communication Systems
2.60
article

Development of New Radio Schedulers in OpenAirInterface

Claudina Rattaro, Pablo Andrés Vázquez, Lucas Inglés, Wilder Peña, Walter Piastri
article en
2 citations

Abstract

This paper presents an analysis, implementation, and validation of new radio schedulers within the OpenAirInterface (OAI) framework. Leveraging the flexibility of OAI, we scrutinize existing MAC layer functionalities and propose enhancements through the integration of new scheduling algorithms. Our study involves a meticulous evaluation of the new scheduling techniques, considering factors such as throughput and fairness. The implementation process is thoroughly detailed, highlighting the integration of these schedulers into the OAI ecosystem. The validation of these new scheduling techniques is conducted using a 5G Standalone network testbed, incorporating real radio interfaces facilitated by software-defined radio technology. Results demonstrate significant improvements in network performance, particularly in terms of throughput and fairness. Our implementation also supports dynamic control of scheduler behavior during runtime, offering a robust platform for future innovation. This work lays the groundwork for future research in advanced scheduling algorithms for 5G and beyond, providing a robust platform for further innovation.

Universidad de la República de Uruguay (UY)
Openalex Percentile: Top 9%
Satellite Communication Systems
2.60
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