Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sonia Gimenez"'
Autor:
Sonia Gimenez, Sandra Roger, Paolo Baracca, David Martín-Sacristán, Jose F. Monserrat, Volker Braun, Hardy Halbauer
Publikováno v:
Sensors, Vol 16, Iss 10, p 1555 (2016)
The use of massive multiple-input multiple-output (MIMO) techniques for communication at millimeter-Wave (mmW) frequency bands has become a key enabler to meet the data rate demands of the upcoming fifth generation (5G) cellular systems. In particula
Externí odkaz:
https://doaj.org/article/b42a2791a9134fbc805c50a1470691bf
Publikováno v:
IWCMC
Mobile networks tend to increase the density of access points, mainly in indoor scenarios where ultra-dense networks of small cells are envisioned for the 5G. The management of this kind of indoor deployments is very challenging and low complexity in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dbd6cee9089d341192a534631281e3d
https://doi.org/10.1109/iwcmc.2017.7986338
https://doi.org/10.1109/iwcmc.2017.7986338
Autor:
Michal Maternia, Pawel Sroka, Tilak Rajesh Lakshmana, Venkatkumar Venkatasubramanian, Zhe Ren, Apostolos Kousaridas, Sokratis Barmpounakis, Sonia Gimenez, Daniel Calabuig, Petteri Lunden, Emmanuel Ternon, Javier Lorca
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] The provision of very high capacity is one of the big challenges of the 5G cellular technology. This challenge will not be met using traditional approaches like increasing spectral efficiency and bandwidth, as witnessed in previous technology ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0156c74fc1bcd45699e4c66801bfabfc
https://hdl.handle.net/10251/107429
https://hdl.handle.net/10251/107429
Publikováno v:
Neurocomputing. 73:1794-1800
Hopfield Neural Networks are well-suited to the fast solution of complex optimization problems. Their application to real problems usually requires the satisfaction of a set of linear constraints that can be incorporated with an additional violation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a6c38db37b3436537b538d6bd1a2b2b
https://doi.org/10.1016/j.neucom.2009.12.031
https://doi.org/10.1016/j.neucom.2009.12.031
Autor:
Sonia Gimenez
Ce récit autobiographique de mon enfance laisse entendre les silences et comprendre les regards d'un enfant gitan dans un monde d'adultes où sévit le racisme, mais aussi sa révolte contre deux cultures qu'il ne peut séparer au point de se sentir
Autor:
Paolo Baracca, Sonia Gimenez, David Martin-Sacristan, Hardy Halbauer, Sandra Roger, Volker Braun, Jose F. Monserrat
Publikováno v:
Sensors, Vol 16, Iss 10, p 1555 (2016)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Sensors (Basel, Switzerland)
Sensors; Volume 16; Issue 10; Pages: 1555
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Sensors (Basel, Switzerland)
Sensors; Volume 16; Issue 10; Pages: 1555
[EN] The use of massive multiple-input multiple-output (MIMO) techniques for communication at millimeter-Wave (mmW) frequency bands has become a key enabler to meet the data rate demands of the upcoming fifth generation (5G) cellular systems. In part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b1c7aaf2c972f4b3c34e8017b8b4e4d
https://doi.org/10.3390/s16101555
https://doi.org/10.3390/s16101555
Autor:
Volker Braun, Jose F. Monserrat, Paolo Baracca, Sandra Roger, Hardy Halbauer, Sonia Gimenez, David Martin-Sacristan
Publikováno v:
2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
PIMRC
PIMRC
Among the many proposals to meet the fifth generation (5G) data rate demands, current spectrum scarcity has motivated the use of millimeter-Wave (mmW) bands for cellular communication. It is well known that mmW communication involves many propagation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a21daed97116708d4d4381e1bf08b6e