Zobrazeno 1 - 10
of 32
pro vyhledávání: '"M. Rouane"'
Autor:
Stylianopoulos, Kyriakos, Alexandropoulos, George, Huang, Chongwen, Yuen, Chau, Bennis, Mehdi, Debbah, and M��rouane
The emergent technology of Reconfigurable Intelligent Surfaces (RISs) has the potential to transform wireless environments into controllable systems, through programmable propagation of information-bearing signals. Techniques stemming from the field
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::420df7144bad6942bb21b72bdbb56073
http://urn.fi/urn:nbn:fi-fe2023021026710
http://urn.fi/urn:nbn:fi-fe2023021026710
Publikováno v:
2021 IEEE Global Communications Conference (GLOBECOM)
Reconfigurable Intelligent Surfaces (RISs), comprising large numbers of low-cost and passive metamaterials with tunable reflection properties, have been recently proposed as an enabler for programmable radio propagation environments. However, the rol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9c19a14b47c0c979db37959df1bc397
https://doi.org/10.1109/globecom46510.2021.9685375
https://doi.org/10.1109/globecom46510.2021.9685375
Publikováno v:
Internation Conference on Communications (ICC)
Internation Conference on Communications (ICC), May 2019, Shanghai, China
Internation Conference on Communications (ICC), May 2019, Shanghai, China
One of the fundamental challenges to realize massive Multiple-Input Multiple-Output (MIMO) communications is the accurate acquisition of channel state information for a plurality of users at the base station. This is usually accomplished in the UpLin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb8fb8eeb79bec9bf234c35c87a2b877
https://hal-centralesupelec.archives-ouvertes.fr/hal-02089064
https://hal-centralesupelec.archives-ouvertes.fr/hal-02089064
Deep learning based on artificial neural networks is a powerful machine learning method that, in the last few years, has been successfully used to realize tasks, e.g., image classification, speech recognition, translation of languages, etc., that are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8e8bae682183ef14095f40ea04b734f
http://arxiv.org/abs/1808.01672
http://arxiv.org/abs/1808.01672
We study the problem of joint load balancing and interference mitigation in heterogeneous networks (HetNets) in which massive multiple-input multiple-output (MIMO) macro cell base station (BS) equipped with a large number of antennas, overlaid with w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ad9a1990dc82eb3d4afa6a61dd480c9
http://arxiv.org/abs/1611.04821
http://arxiv.org/abs/1611.04821
We propose a novel multiple-access technique to overcome the shortcomings of the current proposals for the future releases of Long-Term Evolution (LTE). We provide a unified radio access system that efficiently and flexibly integrates both traditiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c09b4ac8c609bca255da863393394da2
http://arxiv.org/abs/1609.04549
http://arxiv.org/abs/1609.04549
Publikováno v:
Cognitive Radio Networks: Architectures, Protocols, and Standards
HAL
Cognitive Radio Networks: Architectures, Protocols and Standards
Cognitive Radio Networks: Architectures, Protocols and Standards, CRC Press, pp.259-290, 2010
HAL
Cognitive Radio Networks: Architectures, Protocols and Standards
Cognitive Radio Networks: Architectures, Protocols and Standards, CRC Press, pp.259-290, 2010
Print ISBN: 978-1-4200-7775-9; In this chapter, the competitive interaction of radio devices dynamically accessing the spectrum is studied using tools from game theory. Depending on the scenario under consid- eration, the dynamic spectrum access (DSA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::558c978ffe5d2c20d3da4bd389fffd0a
https://doi.org/10.1201/ebk1420077759-c9
https://doi.org/10.1201/ebk1420077759-c9
Publikováno v:
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence, 2007, 49 (1/4), pp.39-76. ⟨10.1007/s10472-007-9056-3⟩
Annals of Mathematics and Artificial Intelligence, Springer Verlag, 2007, 49 (1/4), pp.39-76. ⟨10.1007/s10472-007-9056-3⟩
Annals of Mathematics and Artificial Intelligence, 2007, 49 (1/4), pp.39-76. ⟨10.1007/s10472-007-9056-3⟩
Annals of Mathematics and Artificial Intelligence, Springer Verlag, 2007, 49 (1/4), pp.39-76. ⟨10.1007/s10472-007-9056-3⟩
International audience; Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as databases, both relational and object-oriented,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4caa854a4197fc3b5973291fa5c14ca3
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00183376
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00183376
Autor:
Ryan, ��yvind, Debbah, M��rouane
Free probability and random matrix theory has shown to be a fruitful combination in many fields of research, such as digital communications, nuclear physics and mathematical finance. The link between free probability and eigenvalue distributions of r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::950ce9dd0adf0ecb0056ea15a65e2573