Optimization of Coverage and Capacity Using Smart Antennae
In the rural and geographically remote regions of Taiwan, the high cost of establishing information infrastructure has resulted in significantly lower internet penetration and usage rates compared with urban areas. To address the network demands in such remote mountainous areas, the deployment of mu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/19/10897 |
| _version_ | 1797576172207341568 |
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| author | Min-Che Ho Pin-Yu Song Yi-Shian Chiou Yueh-Tan Lee Li-Ling Huang |
| author_facet | Min-Che Ho Pin-Yu Song Yi-Shian Chiou Yueh-Tan Lee Li-Ling Huang |
| author_sort | Min-Che Ho |
| collection | DOAJ |
| description | In the rural and geographically remote regions of Taiwan, the high cost of establishing information infrastructure has resulted in significantly lower internet penetration and usage rates compared with urban areas. To address the network demands in such remote mountainous areas, the deployment of multiple mobile base stations has become essential. However, the wireless implementation of base stations can lead to signal interference issues. This research aims to enhance the signal reception capabilities of end-user devices by utilizing intelligent directional antennas. This study employs five directional smart antennas, each of which can be independently adjusted to be active or inactive. Unlike traditional omnidirectional antennas that cause interference in overlapping coverage areas for end-user devices, our proposed adaptive directional antenna algorithm optimizes energy consumption by selectively activating directional antennas and concurrently reduces signal interference problems for end-user devices. The results of this research offer valuable insights for improving network connectivity and efficiency in remote and underserved areas. Through experimental simulations conducted in an environment with 10 base stations per square kilometer, the utilization of smart antennas, as opposed to omnidirectional antennas, results in a significant improvement of 33.8% in signal coverage. |
| first_indexed | 2024-03-10T21:48:29Z |
| format | Article |
| id | doaj.art-4608731fb74f4ac2849f67eef97cc973 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T21:48:29Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4608731fb74f4ac2849f67eef97cc9732023-11-19T14:05:43ZengMDPI AGApplied Sciences2076-34172023-09-0113191089710.3390/app131910897Optimization of Coverage and Capacity Using Smart AntennaeMin-Che Ho0Pin-Yu Song1Yi-Shian Chiou2Yueh-Tan Lee3Li-Ling Huang4Department of Civil Engineering, National Central University, Tao-Yuan 320317, TaiwanDepartment of Civil Engineering, National Central University, Tao-Yuan 320317, TaiwanDepartment of Civil Engineering, National Central University, Tao-Yuan 320317, TaiwanDepartment of Civil Engineering, National Central University, Tao-Yuan 320317, TaiwanDepartment of Civil Engineering, National Central University, Tao-Yuan 320317, TaiwanIn the rural and geographically remote regions of Taiwan, the high cost of establishing information infrastructure has resulted in significantly lower internet penetration and usage rates compared with urban areas. To address the network demands in such remote mountainous areas, the deployment of multiple mobile base stations has become essential. However, the wireless implementation of base stations can lead to signal interference issues. This research aims to enhance the signal reception capabilities of end-user devices by utilizing intelligent directional antennas. This study employs five directional smart antennas, each of which can be independently adjusted to be active or inactive. Unlike traditional omnidirectional antennas that cause interference in overlapping coverage areas for end-user devices, our proposed adaptive directional antenna algorithm optimizes energy consumption by selectively activating directional antennas and concurrently reduces signal interference problems for end-user devices. The results of this research offer valuable insights for improving network connectivity and efficiency in remote and underserved areas. Through experimental simulations conducted in an environment with 10 base stations per square kilometer, the utilization of smart antennas, as opposed to omnidirectional antennas, results in a significant improvement of 33.8% in signal coverage.https://www.mdpi.com/2076-3417/13/19/10897coverage and capacity optimizationsmart antennaepower control |
| spellingShingle | Min-Che Ho Pin-Yu Song Yi-Shian Chiou Yueh-Tan Lee Li-Ling Huang Optimization of Coverage and Capacity Using Smart Antennae Applied Sciences coverage and capacity optimization smart antennae power control |
| title | Optimization of Coverage and Capacity Using Smart Antennae |
| title_full | Optimization of Coverage and Capacity Using Smart Antennae |
| title_fullStr | Optimization of Coverage and Capacity Using Smart Antennae |
| title_full_unstemmed | Optimization of Coverage and Capacity Using Smart Antennae |
| title_short | Optimization of Coverage and Capacity Using Smart Antennae |
| title_sort | optimization of coverage and capacity using smart antennae |
| topic | coverage and capacity optimization smart antennae power control |
| url | https://www.mdpi.com/2076-3417/13/19/10897 |
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