| 姓名 |
呂旺鑫(Wang-hsin Lu)
查詢紙本館藏 |
畢業系所 |
通訊工程學系在職專班 |
| 論文名稱 |
粒子群演算法在小細胞基地站佈建實務之應用與效能研究
(The Application of Particle Swarm Optimization Algorithm in Small Cell Placement.)
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| 相關論文 | |
| 檔案 |
 [Endnote RIS 格式]
[Bibtex 格式]
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| 摘要(中) |
4G LTE行動通訊特許執照確定之後，各電信營運商無不卯足全勁全力建設網路，然而在此競爭激烈的市場中，電信營運商唯有讓使用者有良好的使用體驗，才能爭取到消費者的青睞，而良好的使用體驗來自於綿密且優良的訊號涵蓋，而行動網路中最基礎的一環就是網路的建設。但無論是取得新執照的既有3G業者或初入此市場的新競爭者，在建設完整的無線網路時將會面臨到網路建設各階段中不同的問題。
在建設的第一階段，電信營運商會佈建大細胞基站(Macro Cell Site)，而為了讓涵蓋區域的擴大與增加新的涵蓋區域，電信營運商在第二階段會增加建設更多的大細胞基站，以期望形成連續的涵蓋範圍。在於第三階段電信營運商會基於建設成本(CAPEX)與無法建設等等的因素，再無法用新建大細胞基站的方式來補足訊號涵蓋，且營運商也會一併考量大細胞基站建置過近時，過多重複的訊號涵蓋將造成無線網路嚴重的互相干擾，因此以現有的網路建設模式而言，無線網路中將仍存在不少的訊號涵蓋缺口(coverage hole)。
基於上述理由，設備成本相對低廉、建設容易、維護容易的小細胞基地站(Small Cell Site)孕育而生。於訊號涵蓋缺口的區域佈建小細胞基站可以補強無線網路終端裝置接收到的訊號強度(RSSI)，且小細胞基站的簡易設置可以有效降低營運商一般的維運成本(OPEX)。然而如何將小細胞基站放置於相對的最佳位置上，將是本論文所要探討的議題。
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| 摘要(英) |
Mobile communication market will be an intense competition region after releasing the 4G LTE license. There more and more thesis and papers are involving the innovation technology LTE. The new or existing operators are preparing for its coming. Operators have to keep their network in dense coverage and good performance for improving customer’s experience. In Conventional 3G network are built by Macro cell sites outdoor. There were many coverage holes were causing by shadowing by the building or fast fading and terrains. It will increase Capital expenditures (CAPEX) when built two Macro cell sites too close. Furthermore, it will increase interference between adjacent sites.
Base on the reasons we found, small cell sites born to solve the issue. Small cell sites were much cheaper than Macro cell sites. It is easy for deployment and easy for maintain. It can bring up to full strength of network RSSI issue in designated area. It can improve user DL/UL performance. User will have a wonderful using experience. Operator can also reduce the Operating Expense (OPEX). The placement is the key of deployment small cell sites.
We can find the background and research motivation in section 1. Planning and building scheme the Marco cell and small cell sites will be present in section 2. Deployment strategies and PSO algorithm was described in section 3. Experiment and simulation result will be in section 4. The section 5 is the conclusion and the future work.
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| 關鍵字(中) |
★ 改良式粒子群演算法
★ 小細胞基站
★ 涵蓋率 |
關鍵字(英) |
★ particle swarm optimization algorithm
★ small cell
★ coverage ratio |
| 論文目次 |
第一章 緒論……………………………………………………………………………… 1
1-1 研究背景…………………………………………………………………… 1
1-2 研究動機…………………………………………………………………… 2
1-3 研究目的…………………………………………………………………… 3
第二章 文獻探討…………………………………………………………………… 4
2-1 網路佈建方式探討………………………………………………… 4
2-2 大細胞基站規劃與建設……………………………………… 7
2-3 小細胞基站規劃與建設………………………………………… 10
2-4 全球營運商小細胞基站佈建現況……………………… 17
第三章 演算法簡介與適應性函數…………………………………… 18
3-1 智能演算法簡介……………………………………………………… 18
3-1-1 蟻群演算法………………………………………………………………… 19
3-1-2 基因演算法………………………………………………………………… 20
3-1-3 粒子群優化演算法…………………………………………………… 21
3-2 粒子群演算法函數設計………………………………………… 25
第四章 實驗與案例探討……………………………………………………… 42
4-1 粒子群演算法在小細胞基站的座標挑選研究 42
4-2 隨機佈建與經過粒子群演算法優化的結果比較 42
4-3 案例探討…………………………………………………………………… 56
4-4 假設建設成本模擬實驗……………………………………… 59
第五章 結論與未來展望……………………………………………………… 62
參考文獻…………………………………………………………………… 64
附錄一 Matlab粒子群演算法編碼………………………………… 68 |
| 參考文獻 |
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查詢日期 2014.10.4
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| 指導教授 |
陳彥文
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審核日期 |
2014-12-23 |
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