Zobrazeno 1 - 10
of 385
pro vyhledávání: '"Faris, B."'
Autor:
Mismar, Faris B., Kaya, Aliye Özge
This paper proposes the use of deep autoencoders to compress the channel information in a \review{massive} multiple input and multiple output (MIMO) system. Although autoencoders perform lossy compression, they still have adequate usefulness when app
Externí odkaz:
http://arxiv.org/abs/2406.14668
Autor:
Mismar, Faris B.
This is our third (and final) issue of the quick primer on the use of Python to build a wireless communications prototype. This prototype simulates multiple-input and multiple-output (MIMO) systems for a single orthogonal frequency division multiplex
Externí odkaz:
http://arxiv.org/abs/2312.17713
Autor:
Mismar, Faris B., Kaya, Aliye Ozge
This paper proposes an algorithm that uses geospatial analytics and the muting of physical resources in next-generation base stations (BSs) to avoid interference between cellular (or terrestrial) and satellite communication (non-terrestrial) systems.
Externí odkaz:
http://arxiv.org/abs/2304.07129
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 17, Pp 2777-2787 (2024)
Jaclyn Lewis Albin,1 Alexandra J Mignucci,2 Milette Siler,3 David Dungan,4 Cary Neff,5 Basma Faris,6 Caleb Scott McCardell,7 Timothy S Harlan8 1Departments of Internal Medicine and Pediatrics, University of Texas at Southwestern, Dallas, Texas, USA;
Externí odkaz:
https://doaj.org/article/8255c07981314fc1a4b865cd63fc6ced
Publikováno v:
IEEE Access, vol. 11, pp. 46271-46282, May 2023
This paper demonstrates the use of deep learning and time series data generated from user equipment (UE) beam measurements and positions collected by the base station (BS) to enable handoffs between beams that belong to the same or different BSs. We
Externí odkaz:
http://arxiv.org/abs/2209.11312
Object detection and recognition are fundamental functions underlying the success of species. Because the appearance of an object exhibits a large variability, the brain has to group these different stimuli under the same object identity, a process o
Externí odkaz:
http://arxiv.org/abs/2206.05365
Autor:
Mismar, Faris B.
This paper demonstrates the use of machine learning to detect the presence of intermodulation interference across several wireless carriers. We show a salient characteristic of intermodulation interference and propose a machine learning based algorit
Externí odkaz:
http://arxiv.org/abs/2111.00524
Autor:
Mismar, Faris B., Hoydis, Jakob
This letter demonstrates the use of unsupervised machine learning to enable performance self-diagnosis of next-generation cellular networks. We propose two simplified applications of unsupervised learning that can enable real-time performance self-di
Externí odkaz:
http://arxiv.org/abs/2104.06993
The promising coverage and spectral efficiency gains of intelligent reflecting surfaces (IRSs) are attracting increasing interest. In order to realize these surfaces in practice, however, several challenges need to be addressed. One of these main cha
Externí odkaz:
http://arxiv.org/abs/2002.11101
Publikováno v:
2020 IEEE Transactions on Wireless Communications
In cellular systems, the user equipment (UE) can request a change in the frequency band when its rate drops below a threshold on the current band. The UE is then instructed by the base station (BS) to measure the quality of candidate bands, which req
Externí odkaz:
http://arxiv.org/abs/1910.05305