Viability of Numerical Full-Wave Techniques in Telecommunication Channel Modelling
In telecommunication channel modelling the wavelength is small compared to the physical features of interest, therefore deterministic ray tracing techniques provide solutions that are more efficient, faster and still within time constraints than current numerical full-wave techniques. Solving fundam...
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| Format: | Article |
| Language: | English |
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Croatian Communications and Information Society (CCIS)
2020-12-01
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| Series: | Journal of Communications Software and Systems |
| Subjects: | |
| Online Access: | https://jcoms.fesb.unist.hr/10.24138/jcomss.v16i4.1041/ |
| _version_ | 1818253382130860032 |
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| author | Roman Novak |
| author_facet | Roman Novak |
| author_sort | Roman Novak |
| collection | DOAJ |
| description | In telecommunication channel modelling the wavelength is small compared to the physical features of interest, therefore deterministic ray tracing techniques provide solutions that are more efficient, faster and still within time constraints than current numerical full-wave techniques. Solving fundamental Maxwell's equations is at the core of computational electrodynamics and best suited for modelling electrical field interactions with physical objects where characteristic dimensions of a computing domain is on the order of a few wavelengths in size. However, extreme communication speeds, wireless access points closer to the user and smaller pico and femto cells will require increased accuracy in predicting and planning wireless signals, testing the accuracy limits of the ray tracing methods. The increased computing capabilities and the demand for better characterization of communication channels that span smaller geographical areas make numerical full-wave techniques attractive alternative even for larger problems. The paper surveys ways of overcoming excessive time requirements of numerical full-wave techniques while providing acceptable channel modelling accuracy for the smallest radio cells and possibly wider. We identify several research paths that could lead to improved channel modelling, including numerical algorithm adaptations for large-scale problems, alternative finite-difference approaches, such as meshless methods, and dedicated parallel hardware, possibly as a realization of a dataflow machine. |
| first_indexed | 2024-12-12T16:39:11Z |
| format | Article |
| id | doaj.art-8d64c1b67f6248328b324a83643af648 |
| institution | Directory Open Access Journal |
| issn | 1845-6421 1846-6079 |
| language | English |
| last_indexed | 2024-12-12T16:39:11Z |
| publishDate | 2020-12-01 |
| publisher | Croatian Communications and Information Society (CCIS) |
| record_format | Article |
| series | Journal of Communications Software and Systems |
| spelling | doaj.art-8d64c1b67f6248328b324a83643af6482022-12-22T00:18:37ZengCroatian Communications and Information Society (CCIS)Journal of Communications Software and Systems1845-64211846-60792020-12-0116426927810.24138/jcomss.v16i4.1041Viability of Numerical Full-Wave Techniques in Telecommunication Channel ModellingRoman NovakIn telecommunication channel modelling the wavelength is small compared to the physical features of interest, therefore deterministic ray tracing techniques provide solutions that are more efficient, faster and still within time constraints than current numerical full-wave techniques. Solving fundamental Maxwell's equations is at the core of computational electrodynamics and best suited for modelling electrical field interactions with physical objects where characteristic dimensions of a computing domain is on the order of a few wavelengths in size. However, extreme communication speeds, wireless access points closer to the user and smaller pico and femto cells will require increased accuracy in predicting and planning wireless signals, testing the accuracy limits of the ray tracing methods. The increased computing capabilities and the demand for better characterization of communication channels that span smaller geographical areas make numerical full-wave techniques attractive alternative even for larger problems. The paper surveys ways of overcoming excessive time requirements of numerical full-wave techniques while providing acceptable channel modelling accuracy for the smallest radio cells and possibly wider. We identify several research paths that could lead to improved channel modelling, including numerical algorithm adaptations for large-scale problems, alternative finite-difference approaches, such as meshless methods, and dedicated parallel hardware, possibly as a realization of a dataflow machine.https://jcoms.fesb.unist.hr/10.24138/jcomss.v16i4.1041/radio wave propagationfar-field computationsignal predictionfull wave methodsnumerical methods |
| spellingShingle | Roman Novak Viability of Numerical Full-Wave Techniques in Telecommunication Channel Modelling Journal of Communications Software and Systems radio wave propagation far-field computation signal prediction full wave methods numerical methods |
| title | Viability of Numerical Full-Wave Techniques in Telecommunication Channel Modelling |
| title_full | Viability of Numerical Full-Wave Techniques in Telecommunication Channel Modelling |
| title_fullStr | Viability of Numerical Full-Wave Techniques in Telecommunication Channel Modelling |
| title_full_unstemmed | Viability of Numerical Full-Wave Techniques in Telecommunication Channel Modelling |
| title_short | Viability of Numerical Full-Wave Techniques in Telecommunication Channel Modelling |
| title_sort | viability of numerical full wave techniques in telecommunication channel modelling |
| topic | radio wave propagation far-field computation signal prediction full wave methods numerical methods |
| url | https://jcoms.fesb.unist.hr/10.24138/jcomss.v16i4.1041/ |
| work_keys_str_mv | AT romannovak viabilityofnumericalfullwavetechniquesintelecommunicationchannelmodelling |