| 姓名 |
林國任(KUO-JEN LIN)
查詢紙本館藏 |
畢業系所 |
通訊工程學系在職專班 |
| 論文名稱 |
提高無線網路效能之優化接入點佈局研究
(Research on optimizing access point layout to improve wireless network performance )
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| 相關論文 | |
| 檔案 |
 [Endnote RIS 格式]
[Bibtex 格式]
 [相關文章]  [文章引用]  [完整記錄]  [館藏目錄]  至系統瀏覽論文 (2028-7-31以後開放)
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| 摘要(中) |
在無線網路中的AP佈局優化對無線網路的影響是一個重要且複雜的問題.透過本研究的分析和模擬,我們明確了不同AP佈局對無線網路效能的具體影響.首先,不同AP佈局對訊號強度和下載量等傳統指標有著明顯的影響.
本研究使用基於 MATLAB的模擬框架來分析基於 K-manes的 AP 部署策略.K-means 算法常被用於無線通信場景中的 AP 部署位置分組.這個分析旨在研究 K-means 策略對無線網路的關鍵效能指標的影響,包括訊號強度、下載量、訊號雜訊比和覆蓋區域等.透過模擬不同的 AP 配置,我們可以了解 K-means 策略在不同場景中的表現,並協助我們優化 AP的佈局,提升無線網路的效能和可靠性.
在進行AP佈局優化時,必須綜合考慮到物理障礙、環境因素和使用者的移動模式等現實世界因素.首先,物理障礙對無線信號的傳播起著重要作用.建築物的結構、隔牆和障礙物可能會阻礙信號的傳遞,因此在AP佈局中,我們需要確定合適的位置和方向.其次,室內環境因素如不同材質的隔間,矮牆及家俱等和其他家電及無線設備的存在都可能對信號品質造成干擾.為了應對這些干擾,我們需要考慮到這些因素,選擇適當的天線和技術來適應不同的環境條件.我們可以更好地安排AP的位置和配置,以確保無線覆蓋的一致性和連接的穩定性.總結而言,考慮這些現實世界因素是進行AP佈局優化的必要步驟,可以提高無線網路的效能和可靠性.本次研究模擬是在室內環境下,以不同的AP數量,利用K-means來優化AP佈建位置來做研究,通過分析和模擬,明確了不同AP佈局對無線網路效能的具體影響.首先,AP佈局不同對訊號強度和下載量等傳統指標有著明顯的影響.這些指標的變化直接影響著用戶的連接質量和網路速度.其次我們發現AP佈局還會對訊號雜訊比和覆蓋區域等更細微的面向產生影響.透過調整AP的位置和數量,我們可以有效地控制網路的覆蓋範圍和信號品質.總結起來,AP佈局優化的目標在於提高無線網路的效能和可靠性,為用戶提供更好的網路體驗. |
| 摘要(英) |
The impact of AP layout optimization on wireless networks is an important and complex issue. Through the analysis and simulation of this study, we have clarified the specific impact of different AP layouts on the performance of wireless networks. First, different AP layouts have a significant impact on traditional metrics such as signal strength and throughput.
This study uses a MATLAB-based simulation framework to analyze K-means-based AP deployment strategies. The K-means algorithm is often used to group AP deployment locations in wireless communication scenarios. The purpose of this analysis is to investigate the impact of the K-means strategy on key performance indicators of a wireless network, including signal strength, throughput, signal-to-noise ratio, and coverage area. By simulating different AP configurations, we can understand the performance of the K-means policy in different scenarios and help us optimize the AP layout to improve the performance and reliability of the wireless network.
When optimizing AP layout, real-world factors such as physical obstacles, environmental factors, and user movement patterns must be considered. First, physical barriers play an important role in the propagation of wireless signals. The structure of the building, partition walls, and obstacles can hinder the transmission of signals, so in the AP layout, we need to determine the appropriate location and orientation. Secondly, indoor environmental factors such as compartments of different materials, low walls, and furniture, and the presence of other home appliances and wireless devices may interfere with signal quality. To deal with these interferences, we must consider these factors and choose the appropriate antennas and technologies to adapt to different environmental conditions. We can better arrange the location and configuration of APs to ensure consistent wireless coverage and stable connections. In summary, considering these real-world factors is a necessary step for AP layout optimization to improve the performance and reliability of the wireless network. In this study, the simulation is done in an indoor environment with different numbers of APs and K-means to optimize the AP deployment location through analysis and simulation, the specific impact of different AP layouts on the performance of the wireless network is clarified. First, different AP layouts have a significant impact on traditional metrics such as signal strength and throughput. Changes in these metrics have a direct impact on the quality of a user′s connection and network speed. Second, we found that AP layout also has an impact on more subtle aspects such as signal-to-noise ratio and coverage area. By adjusting the location and number of APs, we can effectively control the coverage and signal quality of the network. In summary, the goal of AP layout optimization is to improve the performance and reliability of wireless networks and provide users with a better network experience. |
| 關鍵字(中) |
★ 無線網路
★ AP佈局優化 |
關鍵字(英) |
★ optimizing access point |
| 論文目次 |
論文摘要 i
Abstract iii
目 錄 vii
圖 目 錄 ix
表 目 錄 xii
第一章 緒 論 1
1-1 研究背景 1
1-2 研究動機 1
1-3 章節概要 2
第二章 無線網路802.11G系統及技術簡介 4
2-1頻段和頻寬 5
2-2 調變和編碼 9
2-3 功率控制和射頻管理 19
第三章 無線網路環境及性能探討 21
3-1 雜訊功率Noise power 21
3-2 One-Slope Model 24
第四章 無線網路AP 部署策略最佳化方式 29
4.1 現場勘測 29
4.2 AP位置選擇 30
4.3頻道規劃 31
4.4 傳輸功率調整 32
4.5 網路密度考量 33
4.6 用戶密度分析 33
4.7 流量監控與調整 34
4.8 K-means聚類算法介紹 34
第五章 模擬結果與分析 40
第六章 結論與未來研究 71
參考文獻 72 |
| 參考文獻 |
[1] https://zh.wikipedia.org/wiki/IEEE_802.11g-2003IEEE 802.11g-2003 - 維基百科,自由的百科全書 (wikipedia.org)
[2] 由 Michael Gauthier, Wireless Networking in the Developing WorldKelleyCook, image improvementsWhidou, French translation - 本檔案衍生自： 2.4 GHz Wi-Fi channels (802.11b, g WLAN).png 由 Michael Gauthier, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=8353678
[3] 由 Rbeede, Liebeskind (original) - File:NonOverlappingChannels2.4GHzWLAN-en.svg, CC BY 3.0, https://commons.wikimedia.org/w/index.php?curid=27849387
[4] S. Chang and H. Shin, "2.4-GHz CMOS Bluetooth RF Receiver with Improved IM2 Distortion Tolerance," IEEE Transactions on Microwave Theory and Techniques, 2020. [HTML]
[5] https://www.geeksforgeeks.org/orthogonal-frequency-division-multiplexing-ofdm/
[6] Ivan Cavlek, Sonja Grgic, Estimation of symbol time offset using cyclic prefix in OFDM system
[7] 離散傅立葉轉換 - 維基百科,自由的百科全書 (wikipedia.org)
[8] https://en.wikipedia.org/wiki/Orthogonal_frequency-division_multiplexing
[9] By Fvultier - Using Inkscape, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=74867160
[10] https://www.researchgate.net/figure/16QAM-symbol-constellation_fig1_4176029
[11] https://www.researchgate.net/publication/328399893_An_FPGA-based_SOM_circuit_architecture_for_online_learning_of_64-QAM_data_streams#pf1
[12] https://en.wikipedia.org/wiki/Johnson%E2%80%93Nyquist_noise |
| 指導教授 |
陳永芳(YUNG-FANG CHEN)
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審核日期 |
2024-7-19 |
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