Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Alexis Decurninge"'
Publikováno v:
IEEE Access, Vol 12, Pp 157901-157923 (2024)
This work considers the notion of random tensors and reviews some fundamental concepts in statistics when applied to a tensor based data or signal. In several engineering fields such as Communications, Signal Processing, Machine Learning, and Control
Externí odkaz:
https://doaj.org/article/b56e70d0d46342bfa5704d1d8048ad72
This paper considers a general framework for massive random access based on sparse superposition coding. We provide guidelines for the code design and propose the use of constant-weight codes in combination with a dictionary design based on Gabor fra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c16ea8ffa330e8148216e319449d118
https://publica.fraunhofer.de/handle/publica/443230
https://publica.fraunhofer.de/handle/publica/443230
Publikováno v:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3166e8867e3d13de3edc2528d0326fe7
https://doi.org/10.1109/globecom48099.2022.10001729
https://doi.org/10.1109/globecom48099.2022.10001729
Publikováno v:
IEEE Wireless Communications Letters. 10:552-556
We introduce a modulation for unsourced massive random access whereby the transmitted symbols are rank-1 tensors constructed from Grassmannian sub-constellations. The use of a low-rank tensor structure, together with tensor decomposition in order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bbe19b95b02c310f63dab1e2f39dd52
https://doi.org/10.1109/lwc.2020.3037523
https://doi.org/10.1109/lwc.2020.3037523
Publikováno v:
IEEE Transactions on Information Theory. 66:4489-4512
Massive multiple-input multiple-output (MIMO) systems use antenna arrays with a large number of antenna elements to serve many different users simultaneously. The large number of antennas in the system makes, however, the channel state information (C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cb113441752d1fb42a4f6e9a3848f68
https://doi.org/10.1109/tit.2020.2977068
https://doi.org/10.1109/tit.2020.2977068
We consider the joint constellation design problem for the noncoherent multiple-input multiple-output multiple-access channel (MAC). By analyzing the noncoherent maximum-likelihood detection error, we propose novel design criteria so as to minimize t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3fc509da9d85d8dcc984fd14fccdd8a
https://hal-centralesupelec.archives-ouvertes.fr/hal-03420067
https://hal-centralesupelec.archives-ouvertes.fr/hal-03420067
Publikováno v:
SPAWC
Tensor-based modulation (TBM) has been proposed in the context of unsourced random access for massive uplink communication. In this modulation, transmitters encode data as rank-1 tensors, with factors from a discrete vector constellation. This constr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9e260a3a380165644fbdef10ebbc048
http://arxiv.org/abs/2111.02128
http://arxiv.org/abs/2111.02128
Publikováno v:
2020 IEEE Information Theory Workshop (ITW)
2020 IEEE Information Theory Workshop (ITW), Apr 2021, Riva del Garda (virtual), Italy. pp.1-5, ⟨10.1109/ITW46852.2021.9457669⟩
ITW
2020 IEEE Information Theory Workshop (ITW), Apr 2021, Riva del Garda (virtual), Italy. pp.1-5, ⟨10.1109/ITW46852.2021.9457669⟩
ITW
International audience; We consider the joint constellation design problem for noncoherent multiple-input multiple-output multiple-access channels. By analyzing the noncoherent maximum-likelihood detection error, we propose novel design criteria so a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d02a36c456c51b30abb61aa55641840
https://hal-centralesupelec.archives-ouvertes.fr/hal-03420089
https://hal-centralesupelec.archives-ouvertes.fr/hal-03420089
Publikováno v:
ACSSC
We introduce a modulation for unsourced massive random access whereby the transmitted symbols are rank-1 tensors constructed from Grassmannian sub-constellations. The use of a low-rank tensor structure, together with tensor decomposition in order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::043195ea50c5c4cfd98566d9c3f62840
https://doi.org/10.1109/ieeeconf51394.2020.9443284
https://doi.org/10.1109/ieeeconf51394.2020.9443284
Channel charting is a data-driven baseband processing technique consisting in applying self-supervised machine learning techniques to channel state information (CSI), with the objective of reducing the dimension of the data and extracting the fundame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed5847a179de9ade0d2eb32e0efd0ff5
http://arxiv.org/abs/2005.12242
http://arxiv.org/abs/2005.12242