3D RT adaptive path sensing Method: RSSI modelling validation at 4.5 GHz, 28 GHz, and 38 GHz-Reference-Cited by-同舟云学术

3D RT adaptive path sensing Method: RSSI modelling validation at 4.5 GHz, 28 GHz, and 38 GHz

Published:2022-12 Issue:12 Volume:61 Page:11041-11061
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Kim Geok Tan,Hossain Ferdous,Kamal Abdul Rahim Sharul,Elijah Olakunle,Eteng Akaa A.,Theng Loh Chun,Li Li Lim,Tso C.P.,Abd Rahman Tharek,Nour Hindia M.

Publisher

Elsevier BV

Subject

General Engineering

Reference83 articles.

1. IoT-assisted ECG monitoring framework with secure data transmission for health care applications;Xu;IEEE Access,2020

2. A survey on green communication and security challenges in 5G wireless communication networks;Gandotra;Journal of Network and Computer Applications,2017

3. A comprehensive survey on Internet of Things (IoT) toward 5G wireless systems;Chettri;IEEE Internet of Things Journal,2020

4. Optimized wireless channel characterization in large complex environments by hybrid ray launching-collaborative filtering approach;Casino;IEEE Antennas and Wireless Propagation Letters,2017

5. Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques;Gomes;PloS one,2018

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