AI-Driven Autonomous Network Control Planes for Large-Scale Infrastructure Networks
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806015Keywords:
Autonomous networks, intent-based networking, closed-loop automation, reinforcement learning, network assurance, telemetry, orchestrationAbstract
This paper explores the integration of Artificial Intelligence and machine learning into the network control plane to enable autonomous network operations, thereby addressing the complexities and limitations inherent in traditional, human-centric network management paradigms . This shift towards AI-driven solutions is crucial for achieving enhanced efficiency, security, and scalability in modern enterprise networks, allowing for unprecedented levels of automation and predictive maintenance [1]tiptap://citation?d=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%3D. Specifically, this paper delves into how AI algorithms can dynamically analyze network data, identify patterns, and make intelligent decisions to optimize network configurations, routing protocols, and resource allocation strategies in real time [2]tiptap://citation?d=[{"origin":4,"work":{"type":8,"subtype":{"oneofKind":"articleType","articleType":1},"contributors":[{"role":0,"name":{"given":"Uchenna Joseph","family":"Umoga"}},{"role":0,"name":{"given":"Enoch Oluwademilade","family":"Sodiya"}},{"role":0,"name":{"given":"Ejike David","family":"Ugwuanyi"}},{"role":0,"name":{"given":"Boma Sonimitiem","family":"Jacks"}},{"role":0,"name":{"given":"Oluwaseun Augustine","family":"Lottu"}},{"role":0,"name":{"given":"Obinna Donald","family":"Daraojimba"}},{"role":0,"name":{"given":"Alexander","family":"Obaigbena"}}],"ids":{"issn":["2582-9394"],"isbn":[],"doi":"10.30574/msarr.2024.10.1.0028","openalex":"W4392356715","openAccessId":"17015379710872440638"},"title":"Exploring the potential of AI-driven optimization in enhancing network performance and efficiency","abstract":"The exponential growth of network complexity and data volume in modern digital ecosystems has underscored the need for innovative approaches to optimize network performance and efficiency. This paper delves into the potential of AI-driven optimization techniques in addressing this imperative. Leveraging artificial intelligence (AI) algorithms such as machine learning and deep learning, the study investigates how AI can revolutionize network management and operation to achieve higher levels of performance and reliability. Through a comprehensive review of existing literature and case studies, this paper elucidates the fundamental principles, methodologies, and applications of AI-driven optimization in diverse network environments. It examines how AI algorithms can analyze vast amounts of network data, identify patterns, and make data-driven decisions to optimize network configurations, routing protocols, and resource allocation strategies. Moreover, the study explores how AI-driven optimization can enhance network security, fault tolerance, and scalability by autonomously detecting and mitigating potential threats and vulnerabilities. The Review succinctly encapsulates the main findings and insights derived from the analysis, emphasizing the transformative potential of AI-driven optimization for network performance and efficiency enhancement. It underscores the benefits of AI-driven approaches in automating complex optimization tasks, reducing operational overhead, and adapting dynamically to changing network conditions and user demands. Additionally, the Review discusses the challenges and considerations associated with the implementation of AI-driven optimization techniques, including algorithmic bias, data privacy concerns, and ethical implications. In conclusion, the Review underscores the critical role of AI-driven optimization in addressing the evolving challenges of network management and operation. It advocates for continued research and development efforts aimed at harnessing the full potential of AI-driven optimization to unlock new levels of performance and efficiency in network infrastructures. By embracing AI-driven approaches, organizations can streamline network operations, improve user experience, and drive innovation in the digital era.","url":"https://doi.org/10.30574/msarr.2024.10.1.0028","resourceUrl":"https://magnascientiapub.com/journals/msarr/sites/default/files/MSARR-2024-0028.pdf","issuedDate":"2024-02-28","accessedDate":"2025-10","containerInfo":{"authors":[],"title":"Magna Scientia Advanced Research and Reviews","issue":1,"volume":10,"impactFactor":"3.56"},"containerLocator":{"pageRange":{"firstPage":368,"lastPage":378}},"publisherInfo":{"name":"GSC Online Press"},"tally":{"referencedWorksCount":56,"citedByCount":38}},"quote":"Whether in enterprise  networks, telecommunications systems, or data centers, efficient network operation is essential for delivering high-quality services and maintaining a competitive edge in today's digital economy. However, achieving optimal network  performance is becoming increasingly challenging due to the dynamic nature of modern networks and the ever-growing  volume of data traffic (Hassan, and Mhmood, 2021). Amidst these challenges, AI-driven optimization emerges as a promising solution to enhance network performance and efficiency. By leveraging artificial intelligence (AI) algorithms such as machine learning and deep learning, AI-driven  optimization techniques have the potential to analyze vast amounts of network data, identify patterns, and make  intelligent decisions to optimize network configurations, routing protocols, and resource allocation strategies  dynamically (Amin, et al., 2021; Dikshit, et al., 2023). The purpose of this paper is to explore the potential of AI-driven optimization in enhancing network performance and efficiency. Through an in-depth examination of the methodologies, techniques, applications, challenges, and future  directions of AI-driven optimization in network environments (Walia, et al., 2023; Yao, et al., 2019), this paper aims to  provide insights into how AI can revolutionize network management and operation. By understanding the capabilities  and limitations of AI-driven optimization, network administrators, engineers, and researchers can gain valuable insights  into optimizing network infrastructures effectively. 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Such intelligent systems are paramount for mitigating the challenges posed by increasingly dynamic and reconfigurable networks, including those envisioned for 6G, which incorporate elements like non-terrestrial networks and extensive virtualization 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%3D.
Modern enterprise and carrier networks are evolving into highly dynamic, multi-domain infrastructures composed of virtualized network functions, programmable data planes, heterogeneous access technologies, and continuously shifting traffic patterns[4].[4] Traditional operations models, built on static configuration, device-level policies, and human-driven troubleshooting, struggle to deliver consistent service-level objectives SLOs) at scale. This paper proposes an AI-driven Autonomous Network Control Plane (ANCP): a closed-loop system that translates high-level intent into enforceable network actions, continuously verifies outcomes, and adapts control strategies based on telemetry and learned models.[5] The architecture combines (i) an intent interface and translation pipeline, (ii) an assurance and verification layer, (iii) a multi-timescale decision engine using optimization and reinforcement learning, and (iv) safe action with safety limits, rollback, and human override. We define the functional decomposition, control-loop lifecycle, and safety mechanisms; provide algorithms for intent compilation, anomaly-to-action mapping, and policy-safe execution; and outline an evaluation methodology using traffic engineering, incident remediation, and SLA compliance scenarios[6]. This work positions autonomous control planes as a pragmatic path toward self-driving networks by integrating intent, closed-loop automation, and learning-based decision-making within operationally safe boundaries
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