Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Nektarios Moraitis"'
Publikováno v:
IEEE Access, Vol 11, Pp 133835-133849 (2023)
This paper introduces a propagation study at sub-THz frequencies in an urban environment. Deterministic simulations are carried out utilizing a software tool and a high-resolution digital map of the area. Different scenarios and antenna configuration
Externí odkaz:
https://doaj.org/article/99bc450efb224d3aa41336db9873a540
Publikováno v:
Sensors, Vol 23, Iss 10, p 4775 (2023)
Unmanned aerial systems (UAS) have recently gained popularity, and they are envisioned as an integral parts of the current and future wireless and mobile-radio networks. Despite the exhaustive research on air-to-ground channels, there are insufficien
Externí odkaz:
https://doaj.org/article/7139a333a3934bd6a2ae5fa62f012841
Publikováno v:
Sensors, Vol 22, Iss 3, p 1234 (2022)
This article introduces a unified and detailed methodology for interference assessment between coexisting fixed satellite service (FSS) and broadcast satellite service (BSS) with spectrum sharing at the Ka-band. The interference analysis is presented
Externí odkaz:
https://doaj.org/article/8f9529315a4845abaf674282fba17844
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2009 (2009)
This paper presents results of a narrowband measurement campaign conducted inside a Boeing 737–400 aircraft, the objective being the development of a propagation prediction model which can be used in the deployment of in-cabin wireless networks. Th
Externí odkaz:
https://doaj.org/article/6418915bebd94a499dd5f04fef832ccd
Publikováno v:
2023 17th European Conference on Antennas and Propagation (EuCAP).
Publikováno v:
2023 17th European Conference on Antennas and Propagation (EuCAP).
Autor:
Nektarios Moraitis, Lefteris Tsipi, Demosthenes Vouyioukas, Angelina Gkioni, Spyridon Louvros
Publikováno v:
IEEE Wireless Communications Letters. 11:1097-1101
Autor:
Nektarios Moraitis, Lefteris Tsipi, Spyridon Louvros, Angelina Gkioni, Demosthenes Vouyioukas
Publikováno v:
Wireless Networks. 27:4169-4188
This paper presents and assesses various machine learning methods that aim at predicting path loss in rural environment. For this purpose, models such as artificial neural network (ANN), support vector regression (SVR), random forest (RF), and baggin
Autor:
Konstantinos P. Letsas, Emmanuel P Vardas, Panagiotis Mililis, Konstantina S. Nikita, Dimitrios Asvestas, Stylianos Tzeis, Panos E. Vardas, Nektarios Moraitis, Konstantinos G. Kouvelas
Publikováno v:
EP Europace. 23:99-103
AimsCardiac implantable electronic devices (CIEDs) are susceptible to electromagnetic interference (EMI). Smartwatches and their chargers could be a possible source of EMI. We sought to assess whether the latest generation smartwatches and their char
Publikováno v:
IET Microwaves, Antennas & Propagation. 14:335-341