Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zaenab Shakir"'
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 12:1478-1485
As demand for mobile wireless network services continues to rise, network planning and optimization significantly affect development. One of the critical elements in network planning is predicting pathloss. Thus, propagation models predict pathloss i
Publikováno v:
International Journal of Information Technology. 15:1347-1355
Autor:
Zaenab Shakir, Abbas Al-Thaedan, Ruaa Alsabah, Ali Al-Sabbagh, Monera Elhashmi M. Salah, Josko Zec
Publikováno v:
International Journal of Information Technology. 14:2423-2428
Autor:
Salih Rashid Majeed, Abbas Al-Thaedan, Zaenab Shakir, Amir A. Omran Shafy, Ruaa Alsabah, Ali Al-Sabbagh
Publikováno v:
2023 International Conference on Artificial Intelligence and Smart Communication (AISC).
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030123840
This paper investigates a new method for geolocating LTE cellular users. The method relies on the measurements reported which are time advance metric and Reference Signal Received Power (RSRP) together. The simple predictive model is used with the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46d6ab25a1c47375116d5da2838f1be7
https://doi.org/10.1007/978-3-030-12385-7_81
https://doi.org/10.1007/978-3-030-12385-7_81
Publikováno v:
2018 IEEE 19th Wireless and Microwave Technology Conference (WAMICON).
This paper proposes a new method to estimate the accuracy of locating LTE cellular subscribers. The proposed method is hybrid network-based method; it depends on the Reference Signal Received Power (RSRP) measurements and the predicted cell serving a
Publikováno v:
CCWC
This paper proposes a new method to estimate location of active LTE cellular service users. The proposed method is based on Reference Signal Received Power (RSRP) measurements and the predicted cell serving area. It uses LTE measurements and cell inf