Generative AI for Networking

TL;DR

This paper explores how Generative AI and Large Language Models can revolutionize network management by enabling autonomous, self-optimizing, and adaptive telecommunication systems through natural language understanding and advanced prediction techniques.

Contribution

It introduces the application of GenAI and LLMs in network management, including a use case with transformer-based traffic prediction, highlighting their potential to enhance network resilience and performance.

Findings

LLMs can analyze customer inquiries and automate troubleshooting.

GenAI can optimize content delivery and network resource allocation.

Transformer-based models enable long-term traffic prediction.

Abstract

Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are revolutionizing network management systems, paving the way towards fully autonomous and self-optimizing communication systems. These models enable networks to address complex decision-making tasks across both short-term operational scenarios and long-term strategic planning. Through natural language understanding, LLMs can analyze customer inquiries, predict network congestion patterns, and automate troubleshooting processes, leading to more efficient customer support and network maintenance. GenAI can optimize content delivery by generating personalized recommendations, improving user engagement, and dynamically adjusting network resources based on real-time demands, ultimately enhancing overall performance and user experience in telecommunication services. In this paper, we discuss the pivotal role of GenAI in advancing network performance and achieving the ultimate objective of self-adaptive networks. Moreover, we present a use case that leverages the self-attention mechanism of transformers to perform long-term traffic prediction. Harnessing these cutting-edge technologies demonstrates the transformative power of LLM and GenAI in revolutionizing telecommunication networks, elevating resilience and adaptability to unprecedented levels.