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of 7 415
pro vyhledávání: '"Piovesan, A"'
In this article, we introduce a method to optimize 5G massive multiple-input multiple-output (mMIMO) connectivity for unmanned aerial vehicles (UAVs) on aerial highways through strategic cell association. UAVs operating in 3D space encounter distinct
Externí odkaz:
http://arxiv.org/abs/2409.01812
Autor:
Attafi, Omar Abdelghani, Clementel, Damiano, Kyritsis, Konstantinos, Capriotti, Emidio, Farrell, Gavin, Fragkouli, Styliani-Christina, Castro, Leyla Jael, Hatos, András, Lenaerts, Tom, Mazurenko, Stanislav, Mozaffari, Soroush, Pradelli, Franco, Ruch, Patrick, Savojardo, Castrense, Turina, Paola, Zambelli, Federico, Piovesan, Damiano, Monzon, Alexander Miguel, Psomopoulos, Fotis, Tosatto, Silvio C. E.
Supervised machine learning (ML) is used extensively in biology and deserves closer scrutiny. The DOME recommendations aim to enhance the validation and reproducibility of ML research by establishing standards for key aspects such as data handling an
Externí odkaz:
http://arxiv.org/abs/2408.07721
Autor:
Chen, Tingwei, Wang, Yantao, Chen, Hanzhi, Zhao, Zijian, Li, Xinhao, Piovesan, Nicola, Zhu, Guangxu, Shi, Qingjiang
The introduction of fifth-generation (5G) radio technology has revolutionized communications, bringing unprecedented automation, capacity, connectivity, and ultra-fast, reliable communications. However, this technological leap comes with a substantia
Externí odkaz:
http://arxiv.org/abs/2406.16929
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
Publikováno v:
Textos & Contextos (Porto Alegre), Vol 16, Iss 2, Pp 373-387 (2017)
Este artigo é fruto da pesquisa que teve como objetivo analisar a Proteção Social das pessoas idosas usuárias do BPC, nos municípios de Santa Cruz do Sul, Pantano Grande e Vale Verde, a partir do processo de territorialização da Política Naci
Externí odkaz:
https://doaj.org/article/20434ebe05b14536bf229e4aa8cddc10
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