Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Paolo Banelli"'
Autor:
Giuseppe Baruffa, Andrea Detti, Luca Rugini, Francesco Crocetti, Paolo Banelli, Gabriele Costante, Paolo Valigi
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 3104-3119 (2024)
The seamless integration of multiple radio access technologies (multi-RAT) and cloud/edge resources is pivotal for advancing future networks, which seek to unify distributed and heterogeneous computing and communication resources into a cohesive cont
Externí odkaz:
https://doaj.org/article/561a8ef7f769446288b1a99ba9428777
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 2418-2432 (2024)
The Information Bottleneck (IB) method is an information theoretical framework to design a parsimonious and tunable feature-extraction mechanism, such that the extracted features are maximally relevant to a specific learning or inference task. Despit
Externí odkaz:
https://doaj.org/article/f8e87fdacf78462aa8fab08fc62f8546
Publikováno v:
IEEE Access, Vol 11, Pp 73377-73393 (2023)
Digital terrestrial video broadcasting systems based on orthogonal frequency division multiplexing (OFDM), such as the second generation of terrestrial digital video broadcasting standard (DVB-T2), often include carriers reserved for peak-to-average
Externí odkaz:
https://doaj.org/article/5d80a1f1f947493ba8ad3ea2c6f84a8e
Autor:
Luca Rugini, Paolo Banelli
Publikováno v:
Sensors, Vol 24, Iss 2, p 661 (2024)
This paper presents a performance analysis of centralized spectrum sensing based on compressed measurements. We assume cooperative sensing, where unlicensed users individually perform compressed sensing and send their results to a fusion center, whic
Externí odkaz:
https://doaj.org/article/6e6cc9985ee44e46a24f11da361de291
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-34 (2022)
Abstract Goal-oriented communications represent an emerging paradigm for efficient and reliable learning at the wireless edge, where only the information relevant for the specific learning task is transmitted to perform inference and/or training. The
Externí odkaz:
https://doaj.org/article/c024cabb22f342f5a8fad2bca24001a0
Publikováno v:
IEEE Access, Vol 10, Pp 25135-25152 (2022)
In this work we present a fully stochastic model of performance analysis of single- and multi-carrier modulations (SCM and MCM) in communication systems affected by impulsive noise. The key performance of the model is the symbol error rate (SER), whi
Externí odkaz:
https://doaj.org/article/d16c51b6770448eb9a43a2a853cd2454
Autor:
Luca Rugini, Paolo Banelli
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2010 (2010)
Externí odkaz:
https://doaj.org/article/116eb45a8df0464594bc750b7660c65c
Edge Learning (EL) pushes the computational resources toward the edge of 5G/6G network to assist mobile users requesting delay-sensitive and energy-aware intelligent services. A common challenge in running inference tasks from remote is to extract an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2f27cbc378c1b44f9673e7106260139
http://arxiv.org/abs/2305.02137
http://arxiv.org/abs/2305.02137