Optimization and Evaluation of a 3-D Ray Tracing Channel Predictor Individually for Each Propagation Effect
For 5G/6G system simulations and radio planning the availability of both accurate and run-time efficient channel predictors is required. This paper presents a 3D ray tracing channel predictor, which takes into account the relevant propagation phenomena like free space propagation, reflection, scatte...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Antennas and Propagation |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10436415/ |
| _version_ | 1797243466069049344 |
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| author | Michael Schweins Lennart Thielecke Nils Grupe Thomas Kurner |
| author_facet | Michael Schweins Lennart Thielecke Nils Grupe Thomas Kurner |
| author_sort | Michael Schweins |
| collection | DOAJ |
| description | For 5G/6G system simulations and radio planning the availability of both accurate and run-time efficient channel predictors is required. This paper presents a 3D ray tracing channel predictor, which takes into account the relevant propagation phenomena like free space propagation, reflection, scattering, diffraction and transmission. The predictor is validated by two types of measurements and the relevance of the various propagation phenomena is analyzed based on predictions in a city using real base station locations and building data. Based on these results an acceleration methodology for the search of reflected paths is derived, which is able to reduce the computation time to 40% compared to the baseline prediction. |
| first_indexed | 2024-04-24T18:55:33Z |
| format | Article |
| id | doaj.art-c49ae7957b304a60addb8821454e2255 |
| institution | Directory Open Access Journal |
| issn | 2637-6431 |
| language | English |
| last_indexed | 2024-04-24T18:55:33Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Antennas and Propagation |
| spelling | doaj.art-c49ae7957b304a60addb8821454e22552024-03-26T17:44:28ZengIEEEIEEE Open Journal of Antennas and Propagation2637-64312024-01-015249550610.1109/OJAP.2024.336607010436415Optimization and Evaluation of a 3-D Ray Tracing Channel Predictor Individually for Each Propagation EffectMichael Schweins0https://orcid.org/0009-0009-7213-8977Lennart Thielecke1Nils Grupe2Thomas Kurner3https://orcid.org/0000-0002-5914-0783Institute for Communications Technology, Technische Universität Braunschweig, Braunschweig, GermanyInstitute for Communications Technology, Technische Universität Braunschweig, Braunschweig, GermanyInstitute for Communications Technology, Technische Universität Braunschweig, Braunschweig, GermanyInstitute for Communications Technology, Technische Universität Braunschweig, Braunschweig, GermanyFor 5G/6G system simulations and radio planning the availability of both accurate and run-time efficient channel predictors is required. This paper presents a 3D ray tracing channel predictor, which takes into account the relevant propagation phenomena like free space propagation, reflection, scattering, diffraction and transmission. The predictor is validated by two types of measurements and the relevance of the various propagation phenomena is analyzed based on predictions in a city using real base station locations and building data. Based on these results an acceleration methodology for the search of reflected paths is derived, which is able to reduce the computation time to 40% compared to the baseline prediction.https://ieeexplore.ieee.org/document/10436415/5Gbeamformingchannel predictionpathlossray tracerSiMoNe |
| spellingShingle | Michael Schweins Lennart Thielecke Nils Grupe Thomas Kurner Optimization and Evaluation of a 3-D Ray Tracing Channel Predictor Individually for Each Propagation Effect IEEE Open Journal of Antennas and Propagation 5G beamforming channel prediction pathloss ray tracer SiMoNe |
| title | Optimization and Evaluation of a 3-D Ray Tracing Channel Predictor Individually for Each Propagation Effect |
| title_full | Optimization and Evaluation of a 3-D Ray Tracing Channel Predictor Individually for Each Propagation Effect |
| title_fullStr | Optimization and Evaluation of a 3-D Ray Tracing Channel Predictor Individually for Each Propagation Effect |
| title_full_unstemmed | Optimization and Evaluation of a 3-D Ray Tracing Channel Predictor Individually for Each Propagation Effect |
| title_short | Optimization and Evaluation of a 3-D Ray Tracing Channel Predictor Individually for Each Propagation Effect |
| title_sort | optimization and evaluation of a 3 d ray tracing channel predictor individually for each propagation effect |
| topic | 5G beamforming channel prediction pathloss ray tracer SiMoNe |
| url | https://ieeexplore.ieee.org/document/10436415/ |
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