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

doi:10.1109/GLOBECOM48099.2022.10001179

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

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4782-4787
Number of pages	6
ISBN (Electronic)	9781665435406
DOIs	https://doi.org/10.1109/GLOBECOM48099.2022.10001179
State	Published - 2022
Event	2022 IEEE Global Communications Conference, GLOBECOM 2022 - Virtual, Online, Brazil Duration: Dec 4 2022 → Dec 8 2022

Publication series

Name	2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings

Conference

Conference	2022 IEEE Global Communications Conference, GLOBECOM 2022
Country/Territory	Brazil
City	Virtual, Online
Period	12/4/22 → 12/8/22

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.

Publisher link

10.1109/GLOBECOM48099.2022.10001179

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Ali Modad, B. A., Yu, X., Song, H. J., Chiang, Y. Y., & Molisch, A. F. (2022). Cell-by-Cell Line-of-Sight Probability Models Based on Real-World Base Station Deployment. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (pp. 4782-4787). (2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOBECOM48099.2022.10001179

Cell-by-Cell Line-of-Sight Probability Models Based on Real-World Base Station Deployment. / Ali Modad, Bassel Abou; Yu, Xin; Song, Hae Jin et al.
2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 4782-4787 (2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ali Modad, BA, Yu, X, Song, HJ, Chiang, YY & Molisch, AF 2022, Cell-by-Cell Line-of-Sight Probability Models Based on Real-World Base Station Deployment. in 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings. 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 4782-4787, 2022 IEEE Global Communications Conference, GLOBECOM 2022, Virtual, Online, Brazil, 12/4/22. https://doi.org/10.1109/GLOBECOM48099.2022.10001179

Ali Modad BA, Yu X, Song HJ, Chiang YY, Molisch AF. Cell-by-Cell Line-of-Sight Probability Models Based on Real-World Base Station Deployment. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. p. 4782-4787. (2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings). doi: 10.1109/GLOBECOM48099.2022.10001179

Ali Modad, Bassel Abou ; Yu, Xin ; Song, Hae Jin et al. / Cell-by-Cell Line-of-Sight Probability Models Based on Real-World Base Station Deployment. 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 4782-4787 (2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings).

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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.",

author = "{Ali Modad}, {Bassel Abou} and Xin Yu and Song, {Hae Jin} and Chiang, {Yao Yi} and Molisch, {Andreas F.}",

note = "Funding Information: 1The work of B. Abou Ali Modad and A.F. Molsich was supported by the National Science Foundation Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Global Communications Conference, GLOBECOM 2022 ; Conference date: 04-12-2022 Through 08-12-2022",

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AU - Molisch, Andreas F.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

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ER -

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

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