mm-Wave RSS Evaluation for Distance Estimation in Urban Environments-Reference-Cited by-同舟云学术

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mm-Wave RSS Evaluation for Distance Estimation in Urban Environments

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Future Trends in Smart Communities (ICFTSC)
language:
Short-container-title:

Author:

Bakhuraisa Yaser A.¹,Abd.Aziz Azlan B.¹,Geok Tan K.¹,Bakar Norazhar B. Abu²,Jamian Saifulnizan B.³

Affiliation:

1. Multimedia University,Faculty of Engineering and Technology,Melaka,Malaysia

2. Universiti Teknikal Malaysia Melaka,Faculty of Engineering,Melaka,Malaysia

3. Universiti Tun Hussein Onn Malaysia,Faculty of Mechanical and Manufacturing,Johor,Malaysia

Funder

Ministry of Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10038980/10039723/10040059.pdf?arnumber=10040059

Reference21 articles.

1. Vehicles Tracking in 5G-V2X UDN Using Range and Bearing Measurements;fokin;IEEE Veh Netw Conf VNC,2021

2. Performance of RSS Based Cooperative Localization in Millimeter Wave Wireless Sensor Networks

3. A Brief Review of Path Loss Models for mmWave Channels

4. RSS-based LTE Base Station Localization Using Single Receiver in Environment with Unknown Path-Loss Exponent

5. Indoor millimetre-wave propagation channel simulations at 28, 39, 60 and 73 GHz for 5G wireless networks

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