Millimeter Wave Communications for Path Loss Data for Small Cell Fifth-Generation (5G) Wireless Networks Channel Modeling

Authors(2) :-Srihari Chintha, Dr. Sudhir Dawra

This paper provides 28- and 73-GHz urban omnidirectional propagation large-scale path loss data measured in downtown New York City during the summers of 2012 and 2013, and 38 GHz data measured in downtown Austin in the summer of 2011. The data provided herein may be used by antenna, propagation, and communications researchers for emerging mobile and/or backhaul millimeter-wave (mmWave) system analyses. This paper also presents measurement layout maps with transmitter and receiver locations and GPS coordinates, so that anyone may create similar or new measurements and models, or may perform further processing, such as with ray-tracers and modeling tools, in addition to studying mmWave system performance. Using the data provided herein, large-scale path loss models using a standard close-in 1 meter free-space reference distance are provided for each of the three frequency bands.

Authors and Affiliations

Srihari Chintha
Research Scholar, Department of Computer Science & Engineering, Sunrise University, Alwar, Rajasthan, India
Dr. Sudhir Dawra
Supervisor, Department of Computer Science & Engineering, Sunrise University, Alwar, Rajasthan, India

mmWave, 5G, 28 GHz, 38 GHz, 73 GHz, Propagation, Path Loss, And Outage, Omnidirectional Models

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Publication Details

Published in : Volume 1 | Issue 2 | September-October 2016
Date of Publication : 2017-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 171-176
Manuscript Number : CSEIT1726254
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Srihari Chintha, Dr. Sudhir Dawra, "Millimeter Wave Communications for Path Loss Data for Small Cell Fifth-Generation (5G) Wireless Networks Channel Modeling", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 1, Issue 2, pp.171-176, September-October.2016
URL : http://ijsrcseit.com/CSEIT1726254

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