Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Federico Penna"'
Publikováno v:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a79749b3adbda9997b64840f9aa023d
https://doi.org/10.1109/globecom48099.2022.10001538
https://doi.org/10.1109/globecom48099.2022.10001538
Publikováno v:
2021 IEEE Global Communications Conference (GLOBECOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31732eddb3f2f74ce51b2bb75ac676d8
https://doi.org/10.1109/globecom46510.2021.9685289
https://doi.org/10.1109/globecom46510.2021.9685289
Autor:
Slawomir Stanczak, Federico Penna
Publikováno v:
IEEE Transactions on Signal Processing. 63:427-440
In this paper, we derive and analyze two algorithms - referred to as decentralized power method (DPM) and decentralized Lanczos algorithm (DLA) - for distributed computation of one (the largest) or multiple eigenvalues of a sample covariance matrix o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daec743c9f083784e5e6dc40577f1580
https://doi.org/10.1109/tsp.2014.2373334
https://doi.org/10.1109/tsp.2014.2373334
Publikováno v:
VTC-Fall
In this paper, we propose a novel method for selecting the precoding matrix indicator (PMI) from a DFT-based codebook, such as the one specified for LTE full dimension (FD) MIMO. While conventional approaches are based on explicit codebook search, ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::708be950bf8aaa03a0d1b187c8212a9d
https://doi.org/10.1109/vtcfall.2017.8288030
https://doi.org/10.1109/vtcfall.2017.8288030
Publikováno v:
VTC Fall
This paper addresses the problem of precoding matrix selection in large-scale MIMO cellular systems, where traditional codebook search methods may result in high complexity for the receiver due to the increased codebook size. For this reason, we prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::006fd05c52ee99e6f52db5f43cf0bce4
https://doi.org/10.1109/vtcfall.2016.7881075
https://doi.org/10.1109/vtcfall.2016.7881075
Autor:
Federico Penna, Roberto Garello
Publikováno v:
IEEE Transactions on Wireless Communications. 11:1881-1891
In this paper we propose a decentralized approach for cooperative signal detection, based on peer-to-peer collaboration among sensor nodes. The proposed method combines belief propagation, implemented in a distributed fashion through the exchange of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99ab1d9d4f2b7f4abb8190939e0e658b
https://doi.org/10.1109/twc.2012.031212.111382
https://doi.org/10.1109/twc.2012.031212.111382
Publikováno v:
IEEE Transactions on Signal Processing. 60:1806-1822
In this paper we propose a novel Bayesian method to improve the robustness of cooperative spectrum sensing against misbehaving secondary users, which may send wrong sensing reports in order to artificially increase or reduce the throughput of a cogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc5e2ced4f2d4a130b83efbc8af91318
https://doi.org/10.1109/tsp.2011.2181839
https://doi.org/10.1109/tsp.2011.2181839
Autor:
Federico Penna, Roberto Garello
Publikováno v:
IET Communications. 5:1453-1461
This study addresses the problem of detecting signals characterised by a discontinuous presence in the detection window. This situation is of particular interest for applications of spectrum sensing in cognitive radio networks where, on the one hand,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61c80ec80bace85055683092850523c9
https://doi.org/10.1049/iet-com.2010.0471
https://doi.org/10.1049/iet-com.2010.0471
Publikováno v:
ICC
We present a statistical approach for estimating the interference coupling coefficients in an LTE network based on a set of various measurements available at the network and terminal level. The proposed approach combines the measurements with prior i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e353d22999c8ba52bb10403844b8de79
https://doi.org/10.1109/icc.2014.6884038
https://doi.org/10.1109/icc.2014.6884038
Publikováno v:
ICC
In this paper, semi-blind class of spectrum sensing algorithms, Energy Detection (ED) and Roy's Largest Root Test (RLRT), are considered under a typical flat fading channel scenario. The knowledge of the noise variance is imperative for the optimum p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::471ff1a3e25a9ee010ea802dfd683231
https://doi.org/10.1109/icc.2014.6883512
https://doi.org/10.1109/icc.2014.6883512