TY - JOUR
T1 - Supercomputing-Enabled First-Principles Analysis of Radio Wave Propagation in Urban Environments
AU - MacKie-Mason, Brian
AU - Shao, Yang
AU - Greenwood, Andrew
AU - Peng, Zhen
N1 - Funding Information:
Manuscript received February 18, 2018; revised August 21, 2018; accepted September 19, 2018. Date of publication October 8, 2018; date of current version November 30, 2018. This work was supported in part by the U.S. National Science Foundation under Award #CCF-1526605 and in part by the U.S. Department of Defense HPC Modernization Program under Grant PP-CEA-KY07-001-P3. (Corresponding author: Zhen Peng.) B. MacKie-Mason was with the Applied Electromagnetics Group, Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM 87131 USA. He is now with the Argonne National Laboratory, Lemont, IL 60439 USA (e-mail: brimacki@unm.edu).
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2018/12
Y1 - 2018/12
N2 - Wireless communications are expected to take place in increasingly complicated scenarios, such as dense urban, forest, tunnel, and other cluttered environments. A key emerging challenge is to understand the physics and characteristics of wave propagation in these environments, which is critical for the analysis, design, and application of advanced mobile and wireless communication systems. In this paper, we present a full-wave field-based computational methodology for radio wave propagation in complex urban environments. Both transmitting/receiving antennas and propagation environments are modeled by first-principles calculations. A system-level, large scene analysis is enabled by the scalable, ultraparallel algorithms on the emerging high-performance computing platforms. The proposed computational framework is verified and validated with semianalytical models and representative measurements.
AB - Wireless communications are expected to take place in increasingly complicated scenarios, such as dense urban, forest, tunnel, and other cluttered environments. A key emerging challenge is to understand the physics and characteristics of wave propagation in these environments, which is critical for the analysis, design, and application of advanced mobile and wireless communication systems. In this paper, we present a full-wave field-based computational methodology for radio wave propagation in complex urban environments. Both transmitting/receiving antennas and propagation environments are modeled by first-principles calculations. A system-level, large scene analysis is enabled by the scalable, ultraparallel algorithms on the emerging high-performance computing platforms. The proposed computational framework is verified and validated with semianalytical models and representative measurements.
KW - Communication channel
KW - domain decomposition (DD)
KW - parallel algorithms
KW - propagation
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U2 - 10.1109/TAP.2018.2874674
DO - 10.1109/TAP.2018.2874674
M3 - Article
AN - SCOPUS:85054522161
SN - 0018-926X
VL - 66
SP - 6606
EP - 6617
JO - IEEE Transactions on Antennas and Propagation
JF - IEEE Transactions on Antennas and Propagation
IS - 12
M1 - 8485766
ER -