Zobrazeno 1 - 10
of 41
pro vyhledávání: '"BenoǏT Champagne"'
Autor:
Toluwaleke Olutayo, Benoit Champagne
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 792-806 (2024)
This article addresses the problem of symbol detection in time-varying Massive Multiple-Input Multiple-Output (M-MIMO) systems. While conventional detection techniques either exhibit subpar performance or impose excessive computational burdens in suc
Externí odkaz:
https://doaj.org/article/12a28babbe3640f185855085c432aae4
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 1846-1879 (2024)
Wireless networks are increasingly relying on machine learning (ML) paradigms to provide various services at the user level. Yet, it remains impractical for users to offload their collected data set to a cloud server for centrally training their loca
Externí odkaz:
https://doaj.org/article/e74ebd0b4d9e4cf29af626a00abff17f
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 4, Pp 153-170 (2023)
In this paper, the problem of active eavesdropper detection is considered for a cell-free massive multiple-input multiple-output (m-MIMO) system which is attacked by an active eavesdropper within the uplink training phase, also called pilot spoofing
Externí odkaz:
https://doaj.org/article/6266ca144f3a402188bd30120efa6f60
Publikováno v:
IEEE Access, Vol 10, Pp 72348-72362 (2022)
Hybrid analog-digital signal processing (HSP) is an enabling technology to harvest the potential of millimeter-wave (mmWave) massive-MIMO communications. In this paper, we present a general deep learning (DL) framework for efficient design and implem
Externí odkaz:
https://doaj.org/article/2214eddc66c548b188b0ddc790ca8297
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 2, Pp 245-261 (2021)
In distributed device-to-device (D2D) communications, no common reference time is available and the devices must employ distributed synchronization techniques. In this context, pulse-based synchronization, which can be implemented by distributed phas
Externí odkaz:
https://doaj.org/article/e0ba32f98105449793c9e9961664b23e
Publikováno v:
IEEE Access, Vol 9, Pp 6498-6512 (2021)
In this article, we consider the problem of downlink power allocation in a cell-free massive multiple-input multiple-output (m-MIMO) communication system under spectral efficiency (SE) constraints for the users. From the perspective of green communic
Externí odkaz:
https://doaj.org/article/cfb2b569fb6643b6b098eaea3f49e680
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 2, Pp 136-150 (2021)
A natural choice to model strong temporal dynamics of speech is the recurrent neural network (RNN) since it can exploit the sequential information from consecutive acoustic frames and generalizes the model well to unseen speakers. Besides, the convol
Externí odkaz:
https://doaj.org/article/9bcc48c8ccd64219bff6a984db6b61d9
Publikováno v:
IEEE Access, Vol 9, Pp 115175-115191 (2021)
Multiple-inputmultiple-output (MIMO) sparse code multiple access (SCMA) is of great interest for future wireless networks to achieve higher spectral efficiency and support massive connectivity. In this paper, we investigate the key problems of user c
Externí odkaz:
https://doaj.org/article/1b34e40c6b804e3da820911383dea4ba
Publikováno v:
IEEE Access, Vol 8, Pp 100262-100279 (2020)
The conventional fully-digital implementation of massive-MIMO systems is not efficient due to the large required number of radio-frequency (RF) chains. To address this issue, hybrid analog/digital (A/D) beamforming was proposed and to date remains a
Externí odkaz:
https://doaj.org/article/027842351b8d43779703e93114ad7f8e
Publikováno v:
IEEE Access, Vol 7, Pp 4936-4947 (2019)
In this paper, a new speech enhancement method is proposed based on dictionary learning and low-rank matrix decomposition with the objective to improve speech quality and intelligibility. In both the learning stage and the enhancement stage of the pr
Externí odkaz:
https://doaj.org/article/291026071ef344498ccd2b90e88aa90e