研究生: |
陳冠霖 Guan-Lin Chen |
---|---|
論文名稱: |
基於遺傳算法的無線基地台部署模擬系統 Genetic Algorithm Based Wireless Base Station Deployment Simulation System |
指導教授: |
呂政修
Jenq-Shiou Leu |
口試委員: |
周承復
CF Chou 王瑞堂 Jui-Tang Wang 鄭瑞光 Ray-Guang Cheng |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電子工程系 Department of Electronic and Computer Engineering |
論文出版年: | 2022 |
畢業學年度: | 110 |
語文別: | 中文 |
論文頁數: | 42 |
中文關鍵詞: | 物聯網 、全區覆蓋演算法 、訊號覆蓋空洞 、訊號熱圖 、訊號覆蓋率改善 |
外文關鍵詞: | Internet of Things, Full Coverage Algorithm, Coverage Holes, Signal Heat-map, Coverage Optimization |
相關次數: | 點閱:178 下載:0 |
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在無線通訊的世界中,都會遇到的相同問題便是無線基地台的部署,以及訊號覆蓋的議題。在近幾年來聯網設備的蓬勃發展,以及無線傳輸技術的日益進步,隨著第五代行動通訊技術(5th generation mobile networks, 5G)的逐步成形,甚至即將迎來6G技術的世界,在無線基地台的部署上,使用者所要求之訊號品質更高但在基地台部署上卻因發射頻率提高覆蓋率隨之下降,使得部署全覆蓋場域的難度大大上升,而全覆蓋演算法也更加受到重視。
本文根據發射頻率模擬訊號覆蓋範圍在未來可輕鬆套用在不同的無線傳輸技術下,並基於遺傳演算法提出了一全區覆蓋演算法並實做了無線基地台自動部署系統,使得各個使用者都可輕易操作此系統自動部署無線基地台,達到場域全覆蓋的效果。
In the wireless communications, will face the same problems in the deployment of unlimited base stations and the signal coverage problem. In recent years, there has been a boom in the development of connected devices and the advancement of wireless transmission technology. As the 5th generation mobile networks (5G) technology takes shape and the world of 6G technology is about to emerge, users are demanding higher signal quality but wireless base station's signal coverage is decreasing due to higher transmission frequencies, making it more difficult to deploy full coverage areas and full coverage algorithms are becoming more important.
In this paper, we propose a full coverage algorithm based on the genetic algorithm, which can be easily applied to different wireless transmission technologies in the future, and implement an automatic deployment system for wireless base stations, so that each user can easily operate the system to automatically deploy wireless base stations to achieve full coverage.
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