14 citations · 21 across the 20 of their papers we have counts for
8 papers · 1 filter
Hermes: A Large Language Model Framework on the Journey to Autonomous Networks
Fadhel Ayed, Ali Maatouk, Nicola Piovesan +3
The drive toward automating cellular network operations has grown with the increasing complexity of these systems. Despite advancements, full autonomy currently remains out of reac…
Optimizing Integrated Terrestrial and Non-Terrestrial Networks Performance with Traffic-Aware Resource Management
Henri Alam, Antonio de Domenico, David López-Pérez +1
To address an ever-increasing demand for ubiquitous high-speed connectivity, mobile network deployments are becoming increasingly dense. However, this densification has also led to…
Pay Attention to What Matters
Pedro Luiz Silva, Antonio de Domenico, Ali Maatouk +1
Despite the remarkable success of Large Language Models (LLMs), they still exhibit a limited capability to align their outputs to the user instructions. In this work, we introduce…
Waste Factor and Waste Figure: A Unified Theory for Modeling and Analyzing Wasted Power in Radio Access Networks for Improved Sustainability
Theodore S. Rappaport, Mingjun Ying, Nicola Piovesan +2
This paper introduces Waste Factor (W), also denoted as Waste Figure (WF) in dB, a promising new metric for quantifying energy efficiency in a wide range of circuits and systems ap…
Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications
Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico +2
The application of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems in the telecommunication domain presents unique challenges, primarily due to the co…
Telecom Language Models: Must They Be Large?
Nicola Piovesan, Antonio De Domenico, Fadhel Ayed
The increasing interest in Large Language Models (LLMs) within the telecommunications sector underscores their potential to revolutionize operational efficiency. However, the deplo…
Linguistic Intelligence in Large Language Models for Telecommunications
Tasnim Ahmed, Nicola Piovesan, Antonio De Domenico +1
Large Language Models (LLMs) have emerged as a significant advancement in the field of Natural Language Processing (NLP), demonstrating remarkable capabilities in language generati…
Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach
David López-Pérez, Antonio De Domenico, Nicola Piovesan +1
The energy consumption of mobile networks poses a critical challenge. Mitigating this concern necessitates the deployment and optimization of network energy-saving solutions, such…