Zobrazeno 1 - 10
of 1 249
pro vyhledávání: '"Domenico D'Antonio"'
Autor:
Ayed, Fadhel, Maatouk, Ali, Piovesan, Nicola, De Domenico, Antonio, Debbah, Merouane, Luo, Zhi-Quan
The drive toward automating cellular network operations has grown with the increasing complexity of these systems. Despite advancements, full autonomy currently remains out of reach due to reliance on human intervention for modeling network behaviors
Externí odkaz:
http://arxiv.org/abs/2411.06490
To address an ever-increasing demand for ubiquitous high-speed connectivity, mobile networks have intensified their deployment process. However, achieving this target has proven to be a challenge and has led to a surge in overall energy consumption.
Externí odkaz:
http://arxiv.org/abs/2410.06700
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 a simple and effective method, which we name GUIDE, that mechanistical
Externí odkaz:
http://arxiv.org/abs/2409.19001
Due to an ever-expansive network deployment, numerous questions are being raised regarding the energy consumption of the mobile network. Recently, Non-Terrestrial Networks (NTNs) have proven to be a useful, and complementary solution to Terrestrial N
Externí odkaz:
http://arxiv.org/abs/2405.14053
Autor:
Rappaport, Theodore S., Ying, Mingjun, Piovesan, Nicola, De Domenico, Antonio, Shakya, Dipankar
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 applications, including data centers and RANs. Also, the networks used t
Externí odkaz:
http://arxiv.org/abs/2405.07710
The application of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems in the telecommunication domain presents unique challenges, primarily due to the complex nature of telecom standard documents and the rapid evolution of
Externí odkaz:
http://arxiv.org/abs/2404.15939
The increasing interest in Large Language Models (LLMs) within the telecommunications sector underscores their potential to revolutionize operational efficiency. However, the deployment of these sophisticated models is often hampered by their substan
Externí odkaz:
http://arxiv.org/abs/2403.04666
Large Language Models (LLMs) have emerged as a significant advancement in the field of Natural Language Processing (NLP), demonstrating remarkable capabilities in language generation and other language-centric tasks. Despite their evaluation across a
Externí odkaz:
http://arxiv.org/abs/2402.15818
The energy consumption of mobile networks poses a critical challenge. Mitigating this concern necessitates the deployment and optimization of network energy-saving solutions, such as carrier shutdown, to dynamically manage network resources. Traditio
Externí odkaz:
http://arxiv.org/abs/2401.00443
As deep learning models become increasingly large, they pose significant challenges in heterogeneous devices environments. The size of deep learning models makes it difficult to deploy them on low-power or resource-constrained devices, leading to lon
Externí odkaz:
http://arxiv.org/abs/2310.20457