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Optimizing Telecom Networks with Graph Theory: A Comprehensive Review of Approaches and Benefits

Ary Setijadi Prihatmanto, Agus Sukoco, Tanto Suratno, Reza Pahlevi, Agus Budiyono

Abstract


Telecommunications networks play a pivotal role in our modern interconnected world, providing essential services to individuals, businesses, and industries. As the complexity of these networks continues to grow, the need for advanced optimization techniques becomes increasingly critical. This comprehensive review paper explores the application of graph theory in optimizing telecom networks, shedding light on a wide range of approaches and the tangible benefits they bring. Graph theory, with its inherent capacity to model complex relationships and dependencies, has emerged as a powerful tool in the operations support system (OSS) of the telecommunications industry. This paper begins by introducing the fundamental concepts of graph theory and its relevance in the context of telecom operations. It delves into various network-related challenges faced by telecom operators, from fault detection and capacity planning to customer experience management and security. The paper meticulously surveys the state-of-the-art graph-based approaches used in optimizing telecom networks. It examines how graph models are employed for network topology mapping, fault detection, root cause analysis, performance optimization, and customer-centric operations. Real-world use cases and practical implementations are scrutinized, highlighting the advantages and limitations of each approach. Furthermore, the paper addresses the potential benefits that telecom operators can reap through the adoption of graph-based techniques. These benefits encompass enhanced network reliability, reduced downtime, improved customer satisfaction, efficient resource allocation, and proactive security measures. In addition to reviewing the applications of graph theory in telecom OSS, the paper explores the challenges and future directions of this evolving field. It discusses the integration of graph-based approaches with other technologies, such as artificial intelligence and 5G networks, and the role of open-source tools and cloud computing in facilitating their deployment. This review paper aims to provide a comprehensive understanding of the diverse ways in which graph theory contributes to the optimization of telecom networks. By synthesizing existing research and identifying emerging trends, it equips researchers, practitioners, and decision-makers in the telecommunications industry with valuable insights to navigate the evolving landscape of network optimization.

Keywords


graph theory, telecom network optimization, network topology, fault detection, performance optimization, 5G networks.

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