Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Andrey Koucheryavy"'
Autor:
Abdul Hussain Ali Hussain, Montadar Abas Taher, Omar Abdulkareem Mahmood, Yousif I. Hammadi, Reem Alkanhel, Ammar Muthanna, Andrey Koucheryavy
Publikováno v:
IEEE Access, Vol 11, Pp 58516-58531 (2023)
Congestion in the world’s traffic systems is a major issue that has far-reaching repercussions, including wasted time and money due to longer commutes and more frequent stops for gas. The incorporation of contemporary technologies into transportati
Externí odkaz:
https://doaj.org/article/767be1fcaf154f3f8b00e408c75c0388
Autor:
Sergey S. Vladimirov, Anastasia Vybornova, Ammar Muthanna, Andrey Koucheryavy, Ahmed A. Abd El-Latif
Publikováno v:
IEEE Access, Vol 11, Pp 43485-43498 (2023)
In this article, a new multicast protocol is introduced at the session layer, which is based on network coding and is called the Network Coding Datagram Protocol (NCDP). The NCDP protocol is specifically designed for content delivery systems that uti
Externí odkaz:
https://doaj.org/article/94025c7e16f942459955094d6281d21f
Autor:
Abdelhamied A. Ateya, Sergey Bushelenkov, Ammar Muthanna, Alexander Paramonov, Andrey Koucheryavy, Samia Allaoua Chelloug, Ahmed A. Abd El-Latif
Publikováno v:
Mathematics, Vol 11, Iss 19, p 4168 (2023)
The Internet of Things (IoT) is an emerging technology that has recently gained significant interest, especially with the dramatic increase in connected devices. However, IoT networks are not yet standardized, and the design of such networks faces ma
Externí odkaz:
https://doaj.org/article/d1226f3897a24f1285da7801a25ca3af
Autor:
Mohamed Hassan Essai Ali, Ali R. Abdellah, Hany A. Atallah, Gehad Safwat Ahmed, Ammar Muthanna, Andrey Koucheryavy
Publikováno v:
Mathematics, Vol 11, Iss 15, p 3386 (2023)
This study uses deep learning (DL) techniques for pilot-based channel estimation in orthogonal frequency division multiplexing (OFDM). Conventional channel estimators in pilot-symbol-aided OFDM systems suffer from performance degradation, especially
Externí odkaz:
https://doaj.org/article/c0ff163a64f947cdbc4190a97e994b85
Autor:
Grigoriy Fokin, Andrey Koucheryavy
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2227 (2023)
User equipment (UE) location estimation in emerging 5G/B5G/6G Ultra-Dense Networks (UDNs) is a breakthrough technology in future wireless info-communication ecosystems. Apart from communication aspects, network infrastructure densification promises s
Externí odkaz:
https://doaj.org/article/706cc674e0384357833b858746753268
Autor:
Sergey Bushelenkov, Alexander Paramonov, Ammar Muthanna, Ahmed A. Abd El-Latif, Andrey Koucheryavy, Osama Alfarraj, Paweł Pławiak, Abdelhamied A. Ateya
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1403 (2023)
This article presents a new network model for IoT that is based on a multi-story building structure. The model locates network nodes in a regular, cubic lattice-like structure, resulting in an equation for the signal-to-noise ratio (SNR). The study a
Externí odkaz:
https://doaj.org/article/3e7e1d25d3574f1e8a54801fc18226ad
Autor:
Mashael Khayyat, Ibrahim A. Elgendy, Ammar Muthanna, Abdullah S. Alshahrani, Soltan Alharbi, Andrey Koucheryavy
Publikováno v:
IEEE Access, Vol 8, Pp 137052-137062 (2020)
The promise of low latency connectivity and efficient bandwidth utilization has driven the recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC). This paper presents an advanced deep learning-based computational off
Externí odkaz:
https://doaj.org/article/f24b21d8bd174689bff6dbe32afda38a
Autor:
Emad Hmood Salman, Montadar Abas Taher, Yousif I. Hammadi, Omar Abdulkareem Mahmood, Ammar Muthanna, Andrey Koucheryavy
Publikováno v:
Sensors, Vol 23, Iss 1, p 206 (2022)
Telecommunication networks are growing exponentially due to their significant role in civilization and industry. As a result of this very significant role, diverse applications have been appeared, which require secured links for data transmission. Ho
Externí odkaz:
https://doaj.org/article/23349b3a9ff7451c8ad7714d029d65c1
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 10030 (2022)
Artificial intelligence (AI) is capable of addressing the complexities and difficulties of fifth-generation (5G) mobile networks and beyond. In this paradigm, it is important to predict network metrics to meet future network requirements. Vehicle-to-
Externí odkaz:
https://doaj.org/article/24156af1da1a4182a362fc22458474b4
Publikováno v:
Information, Vol 13, Iss 7, p 328 (2022)
Smart cities using the Internet of Things (IoT) can operate various IoT systems with better services that provide intelligent and efficient solutions for various aspects of urban life. With the rapidly growing number of IoT systems, the many smart ci
Externí odkaz:
https://doaj.org/article/ab6f3d789a1b41009f677af41d5c285e