Active queue management in 5G and beyond cellular networks using Machine Learning

IF 4.5 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Computer Communications Pub Date : 2025-03-01 DOI:10.1016/j.comcom.2025.108108

Alexandros Stoltidis, Kostas Choumas, Thanasis Korakis

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引用次数: 0

Abstract

This paper proposes a state-of-the-art framework for adapting Active Queue Management (AQM) in 5G and beyond cellular networks with disaggregated Radio Access Network (RAN) deployments. While existing AQM algorithms effectively mitigate bufferbloat in monolithic RAN deployments, their potential in disaggregated ones remains largely unexplored. This gap particularly relates to AQM algorithms relying on communication between layers distributed across distinct network entities to operate. Our research explores the current literature on AQM, identifies the gaps regarding disaggregated deployments, and introduces a comprehensive framework that employs Artificial Intelligence (AI) and Machine Learning (ML) within the RAN Intelligent Controller (RIC) for adapting AQM in such deployments. We evaluate our novel solution on a previously proposed AQM algorithm which requires cross-layer communication, using OpenAirInterface5G (OAI5G) to deploy a disaggregated RAN and a connected User Equipment (UE) that experiences realistic network conditions, including noise and mobility. Finally, we assess its accuracy through the Quality of Service (QoS) achieved for our disaggregated deployment on the NITOS testbed.

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来源期刊

Computer Communications 工程技术-电信学

CiteScore

14.10

自引率

5.00%

发文量

397

审稿时长

66 days

期刊介绍： Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today''s computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms. Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications.