Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Emre Kilcioglu"'
Publikováno v:
IEEE Access, Vol 11, Pp 99397-99412 (2023)
Deep learning (DL) has gained increasing prominence in latency-critical artificial intelligence (AI) applications. Due to the intensive computational requirements of these applications, cloud-centric approaches have been attempted to address this iss
Externí odkaz:
https://doaj.org/article/d962c6217bb749a98d24e8fcde3bc2a4
Publikováno v:
IEEE Access, Vol 9, Pp 79611-79627 (2021)
Fog computing is a potential solution for heterogeneous resource-constrained mobile devices to collaboratively operate deep learning-driven applications at the edge of the networks, instead of offloading the computations of these applications to the
Externí odkaz:
https://doaj.org/article/48218f27e9cb4882813220ebc4f31437
Autor:
Gokhan M. Guvensen, Emre Kilcioglu
Publikováno v:
VTC Spring
In this paper, three types of user grouping algorithms in which our own performance metric is utilized are investigated for single carrier downlink wideband spatially correlated massive MIMO channels by using hybrid beamforming structure motivated by
Publikováno v:
I E E E Access, Vol. 9, p. 79611-79627 (2021)
IEEE Access, Vol 9, Pp 79611-79627 (2021)
IEEE Access, Vol 9, Pp 79611-79627 (2021)
Fog computing is a potential solution for heterogeneous resource-constrained mobile devices to collaboratively operate deep learning-driven applications at the edge of the networks, instead of offloading the computations of these applications to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11f351c6adb2ab6fb3747a15235d85a3
https://hdl.handle.net/2078.1/254123
https://hdl.handle.net/2078.1/254123
Autor:
Emre Kilcioglu, Gokhan M. Guvensen
Publikováno v:
PIMRC
In this paper, an efficient hybrid precoding architecture is proposed for single-carrier (SC) downlink wideband spatially correlated massive MIMO channels. The design of two-stage beamformers is realized by using a virtual sectorization via second-or