Cell-by-Cell Line-of-Sight Probability Models Based on Real-World Base Station Deployment

Bassel Abou Ali Modad, Xin Yu, Hae Jin Song, Yao Yi Chiang, Andreas F. Molisch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Knowing the wireless channel characteristics, particularly the existence of a line-of-sight (LOS) connection from the user equipment (UE) to the base station (BS), is key in wireless system development and deployments. The LOS becomes even more important in high frequency systems such as fifth generation (5G) mm-wave and terahertz (THz) systems where the difference in channel characteristics varies greatly from LOS to non-LOS (NLOS) situations. While existing LOS models such as the 3GPP model and others in the literature are valuable, they lack cell-by-cell specificity and/or do not generalize well to different environments. In this paper, we aim to close these gaps and propose generalized models derived from extensive real-world analysis in diverse environments. We also study the performance of our models in system-level simulations in terms of signal-to-interference-ratio (SIR) and coverage.

Original languageEnglish (US)
Title of host publication2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4782-4787
Number of pages6
ISBN (Electronic)9781665435406
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 IEEE Global Communications Conference, GLOBECOM 2022 - Virtual, Online, Brazil
Duration: Dec 4 2022Dec 8 2022

Publication series

Name2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings

Conference

Conference2022 IEEE Global Communications Conference, GLOBECOM 2022
Country/TerritoryBrazil
CityVirtual, Online
Period12/4/2212/8/22

Bibliographical note

Funding Information:
1The work of B. Abou Ali Modad and A.F. Molsich was supported by the National Science Foundation

Publisher Copyright:
© 2022 IEEE.

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