Supercomputing-enabled first-principles analysis of wireless channels in real-world environments

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

Abstract

Wireless communications are expected to take place in increasingly complicated scenarios, such as dense urban, forest, tunnel and other significant cluttered environments. A key challenge emerging is to understand the physics and characteristics of wireless channels in complex environments, which are critical for the analysis, design, and application of future mobile and wireless communication systems. The objective of this work is to investigate high-resolution, high-performance computational algorithms for extreme-scale channel modehng in real-world environments. The system-level large scene analysis is enabled by the novel, ultra-parallel algorithms on the emerging exascale high-performance computing (HPC) platforms. The results lead to much greater channel model resolution than existing deterministic channel modeling technologies. All relevant propagation mechanisms are accounted for in first-principles. Such a modeling framework will be critical to gaining fundamental physics of wireless propagation channels in real-world scenarios.

Original languageEnglish (US)
Title of host publication2017 IEEE MTT-S International Microwave Symposium, IMS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8-11
Number of pages4
ISBN (Electronic)9781509063604
DOIs
StatePublished - Oct 4 2017
Externally publishedYes
Event2017 IEEE MTT-S International Microwave Symposium, IMS 2017 - Honololu, United States
Duration: Jun 4 2017Jun 9 2017

Publication series

NameIEEE MTT-S International Microwave Symposium Digest
ISSN (Print)0149-645X

Other

Other2017 IEEE MTT-S International Microwave Symposium, IMS 2017
CountryUnited States
CityHonololu
Period6/4/176/9/17

Keywords

  • Domain decomposition methods
  • Electromagnetics
  • Parallel algorithms
  • Wireless channels

ASJC Scopus subject areas

  • Radiation
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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