臺灣博碩士論文加值系統

在規劃室內無線區域網路時，為了得到最佳的涵蓋效果，我們經常必須在網路中妥善規劃擷取點的位置。因此，我們希望有一套準確、快速而簡單的工具，能幫助我們對擷取點位置的設置做一適當的選擇與評估。
我們在各種不同的室內環境，以『接收訊號強度』和『訊框錯誤率』為指標，量測由實際使用的網路卡所發出的無線電訊號。經由實測的手法和大量實驗數據的收集，我們將可以觀察到無線網路卡的訊號在室內環境傳播時最真實的特性，並為我們在設計一適用的無線網路評估系統時，提供一重要的參考。
在論文中，我們研製了一套『整合型無線網路規劃技術』，它包含三個部分：負責估測運算的『多重參數無線網路評估系統』、『環境參數基因演算器』，與配合使用的標準流程-『系統卡片與環境參數校正法則』。這套技術將無線網路的規劃與估測工具的使用從量測、環境參數的設定、校正到顯示在使用者介面等，都做了一整合性的規劃。我們利用基因演算法和類神經網路的技巧，提高估測的精確性並簡化估測流程和增加計算的速度。利用這套規劃技術，不需任何複雜的儀器設備，我們將可以在任何筆記型電腦上完成所有的估測工作。
為了對網路的傳輸品質有更完整的評估，我們將『多重傳輸指標』的功能引入估測系統中，使用者可以根據實際需求選擇不同的評估指標。此外，我們知道當微波爐使用時，由於漏洩微波的影響，它將在網路中成為一降低通訊品質的主動的干擾源，因此我們也首次將微波爐的效應與我們的估測系統做一整合。
利用所發展的估測系統，我們以本校新工學大樓和工研院電通所為對象，進行一系列的系統功能修正與驗證。由最後的結果證實，即使使用不同的網路卡，本評估系統仍然可以對室內無線網路的通訊品質做出正確的估測。此外，若考慮使用上的便利性和無線網路通訊品質的變異性，使用論文中所提出的一種通訊分級的觀點來分析這些估測結果，對於設計者或一般使用者而言可能會更為實用。

Wireless communication system is an attractive communication means in indoor environments. To achieve a optimum communication coverage area for an indoor wireless communication system, it is quite important to place the transceivers at the proper locations.
This thesis focuses on the study and design of a prediction system for indoor wireless LAN communication system. By a manner of measurement, we collect plentiful experiment data to find the propagation rules of radio wave emitted from wireless LAN cards. We can observe the real characteristics of the practical radio wave propagated in indoor environments by this skill.
A novel prediction tool for the programming of indoor wireless LAN, which is called multi-index wireless LAN prediction system, is proposed and proved to be informative. The tool demonstrates an integral technique including measurement, prediction, and calibration. To increase prediction accuracy, the technique of neuron network is employed. Moreover, we utilize genetic algorithm to calculate the environment parameters to shorten prediction time, and simplify prediction process. Without any complex equipment, this system can complete all the prediction works on normal notebook computers.
In our prediction system, different transmission quality index, such as received signal strength index (RSSI) and frame error rate (FER) can be chosen to use. Besides, the interference caused by microwave ovens, which would degrade the performance of wireless communication, has also been discussed. Based on our measurement results, the microwave oven effect is successfully involved in our prediction system for the first time.
Many experiments are designed and performed in variant indoor environments to verify the performance of our system. By using this system, the prediction results can be obtained within a few minutes. Moreover, according to the experiment results, this system can still achieve accurate prediction results in different indoor surroundings even if using different wireless LAN cards. Further, with a view of convenience to use and the quality variety of radio wave communication caused by indoor interference, it can be more practicable for designers that base on the communication quality repartition rule, proposed in this thesis, to analyze the prediction results.

第一章 緒論
1-1區域網路簡介
1-2問題說明
1-3研究背景
1-3.1傳輸品質指標
1-3.2估測技術
1-4研究概要
1-5內容概述
第二章 設計原理與操作流程
2-1設計原理
2-1.1 環境參數基因演算器
2-1.2 多重參數無線網路評估系統
2-2操作流程
2-2.1傳統估測流程
2-2.2系統卡片與環境參數校正程序
第三章 實驗設計之原理說明
3-1接收訊號強度（RSSI）
3-1.1實驗設計
3-2訊框錯誤率（FER）
3-2.1傳輸差異環境分級法
3-2.2微波干擾
第四章 利用傳統流程建立環境參數
4-1設定原始環境參數
4-1.1誤差現象分析
4-2修正環境參數
4-3效能分析與傳輸品質分級
第五章 系統整體功能驗證
5-1環境參數
5-1.1參數設定與取樣法則
5-2整合型規劃技術的功能驗證
5-2.1不同通訊環境的驗證
5-2.2利用不同網路卡進行測試
第六章 FER指標與微波干擾之估測驗證
6-1 FER與RSSI之對應關係
6-2微波爐效應
6-2.1微波干擾的統計模型
6-2.2微波干擾的實驗設計與結果
第七章 結論與未來展望
7-1結論
7-2未來展望
7-2.1原有功能的加強
7-2.2新功能的建立
參考文獻
表格
附圖

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