A Statistical Channel Model for Stochastic Antenna Inclination Angles
The actions of a person holding a mobile device are not a static state but can be considered as a stochastic process since users can change the way they hold the device very frequently in a short time. The change in antenna inclination angles with the random actions will result in varied received si...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2019/3487149 |
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| author | Gang Liu Ming Zhang Yaming Bo |
| author_facet | Gang Liu Ming Zhang Yaming Bo |
| author_sort | Gang Liu |
| collection | DOAJ |
| description | The actions of a person holding a mobile device are not a static state but can be considered as a stochastic process since users can change the way they hold the device very frequently in a short time. The change in antenna inclination angles with the random actions will result in varied received signal intensity. However, very few studies and conventional channel models have been performed to capture the features. In this paper, the relationships between the statistical characteristics of the electric field and the antenna inclination angles are investigated and modeled based on a three-dimensional (3D) fast ray-tracing method considering both the diffraction and reflections, and the radiation patterns of an antenna with arbitrary inclination angles are deducted and included in the method. Two different conditions of the line-of-sight (LOS) and non-line-of-sight (NLOS) in the indoor environment are discussed. Furthermore, based on the statistical analysis, a semiempirical probability density function of antenna inclination angles is presented. Finally, a novel statistical channel model for stochastic antenna inclination angles is proposed, and the ergodic channel capacity is analyzed. |
| format | Article |
| id | doaj-art-1f344b90be4b4705a1e8391c7d199304 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-1f344b90be4b4705a1e8391c7d1993042025-02-03T01:11:15ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772019-01-01201910.1155/2019/34871493487149A Statistical Channel Model for Stochastic Antenna Inclination AnglesGang Liu0Ming Zhang1Yaming Bo2College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaCollege of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaCollege of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaThe actions of a person holding a mobile device are not a static state but can be considered as a stochastic process since users can change the way they hold the device very frequently in a short time. The change in antenna inclination angles with the random actions will result in varied received signal intensity. However, very few studies and conventional channel models have been performed to capture the features. In this paper, the relationships between the statistical characteristics of the electric field and the antenna inclination angles are investigated and modeled based on a three-dimensional (3D) fast ray-tracing method considering both the diffraction and reflections, and the radiation patterns of an antenna with arbitrary inclination angles are deducted and included in the method. Two different conditions of the line-of-sight (LOS) and non-line-of-sight (NLOS) in the indoor environment are discussed. Furthermore, based on the statistical analysis, a semiempirical probability density function of antenna inclination angles is presented. Finally, a novel statistical channel model for stochastic antenna inclination angles is proposed, and the ergodic channel capacity is analyzed.http://dx.doi.org/10.1155/2019/3487149 |
| spellingShingle | Gang Liu Ming Zhang Yaming Bo A Statistical Channel Model for Stochastic Antenna Inclination Angles International Journal of Antennas and Propagation |
| title | A Statistical Channel Model for Stochastic Antenna Inclination Angles |
| title_full | A Statistical Channel Model for Stochastic Antenna Inclination Angles |
| title_fullStr | A Statistical Channel Model for Stochastic Antenna Inclination Angles |
| title_full_unstemmed | A Statistical Channel Model for Stochastic Antenna Inclination Angles |
| title_short | A Statistical Channel Model for Stochastic Antenna Inclination Angles |
| title_sort | statistical channel model for stochastic antenna inclination angles |
| url | http://dx.doi.org/10.1155/2019/3487149 |
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