Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Mustapha Benjillali"'
Publikováno v:
Frontiers in Communications and Networks, Vol 2 (2021)
Scalable and sustainable AI-driven analytics are necessary to enable large-scale and heterogeneous service deployment in sixth-generation (6G) ultra-dense networks. This implies that the exchange of raw monitoring data should be minimized across the
Externí odkaz:
https://doaj.org/article/8ef207b06b0840259cd5054a630e4c3d
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 11, Iss 2, p 26 (2022)
In the context of future ultra-dense mobile networks, spectrum and energy efficiencies (SE and EE) are critical measures in designing efficient systems for the sixth-generation (6G) of wireless networks. Recognized for their benefits in increasing SE
Externí odkaz:
https://doaj.org/article/4da8df507eb24eef840209e0d6ca66d1
Autor:
Daniel Benevides da Costa, Muhammad Ali Imran, Trung Q. Duong, Hui-Ming Wang, Mustapha Benjillali, Richard Demo Souza, Amine Maaref
Publikováno v:
IEEE Access, Vol 6, Pp 8959-8963 (2018)
Wireless communications and networking have experienced explosive growth during the last years so that security issues are a crucial aspect for networks and system design. Thus, the purpose of this Special Section in IEEE Access was to publish innova
Externí odkaz:
https://doaj.org/article/c6133e79d15948d9a53e322e928af062
Autor:
Anas Fedoul, Mustapha Benjillali
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2017, Iss 1, Pp 1-8 (2017)
Abstract In this work, we analyze the performance of a cooperative two-hop cognitive relaying system using the “detect-and-forward” strategy. The cooperation between secondary users, in the underlay spectrum sharing mode, is under an interference
Externí odkaz:
https://doaj.org/article/5b023692f8d449358dc0797c956c89ab
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:5060-5072
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d3e067934c885754b682bc573dcd5d0
https://doi.org/10.1109/tvt.2022.3151461
https://doi.org/10.1109/tvt.2022.3151461
Publikováno v:
Journal of the Franklin Institute. 358:8012-8044
The paper presents a comprehensive closed-form performance analysis framework for multihop communications over Weibull fading channels. This framework may be of interest in different applications in the contexts of beyond-5G (B5G) and Internet of Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9accc5c6bcf2828295d088c22c9356d3
https://doi.org/10.1016/j.jfranklin.2021.08.004
https://doi.org/10.1016/j.jfranklin.2021.08.004
Publikováno v:
Proceedings of the IEEE
Proceedings of the IEEE, Institute of Electrical and Electronics Engineers, 2021, ⟨10.1109/JPROC.2021.3061778⟩
Proceedings of the IEEE, Institute of Electrical and Electronics Engineers, 2021, ⟨10.1109/JPROC.2021.3061778⟩
International audience; Next generation wireless networks are expected to be highly heterogeneous, multi-layered, with embedded intelligence at both the core and edge of the network. In such a context, system-level performance evaluation will be very
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d642dd8c3b2a2adeb3f8ef23ab6ad36
https://doi.org/10.1109/jproc.2021.3061778
https://doi.org/10.1109/jproc.2021.3061778
Publikováno v:
2022 11th International Symposium on Signal, Image, Video and Communications (ISIVC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12abeb899cc8bc335ac130bbcaccff03
https://doi.org/10.1109/isivc54825.2022.9800720
https://doi.org/10.1109/isivc54825.2022.9800720
Publikováno v:
IEEE Transactions on Vehicular Technology. 69:3444-3448
In this paper, the problem of determining the maximum of independent but non-identically distributed (i.n.i.d.) double $\alpha$ - $\mu$ random variables (RVs) is investigated. In particular, we present a novel analysis to calculate the moments of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54bcc6e62f6f4cb009ed624c44474365
https://doi.org/10.1109/tvt.2020.2969224
https://doi.org/10.1109/tvt.2020.2969224
Publikováno v:
IEEE Transactions on Wireless Communications. 18:5831-5844
In this paper, we propose a distributed algorithm that allows unmanned aerial vehicles (UAVs) to dynamically learn their optimal 3D locations and associate with ground users while maximizing the network’s sum-rate. Our approach is referred to as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::001f074b62dc1b32334ceb34c04a0b1e
https://doi.org/10.1109/twc.2019.2939315
https://doi.org/10.1109/twc.2019.2939315