臺灣博碩士論文加值系統

功率控制技術可以有效處理同頻干擾(Co-channel Interference)、遠近問題(Near-far problem)和通道衰減(Channel fading)來改善直序列分碼多重接取行動系統容量的一個重要技術，其機制是針對每一行動台(Mobile station)動態決定傳送最適當的功率以達到符合要求的通訊品質，所以實行功率控制機制在無線通訊系統中，是有其重要必然性。近年來，許多學者提出了關於模糊功率控制方面的研究，雖有顯著改善成效，但亦受限於無法即時調整通道狀態，如能應用模糊推論的特質，粗略的求出大約值，再加上類神經網路線上學習的優點，細微調整鏈結加權值，使其縮短與目標值的差量，即更能準確預測通道短期的衰減趨勢，減低迴路延遲產生的影響，將功率控制做的更完善，因此，我們在本篇碩士論文中提出了多媒體神經模糊功率控制方法應用在直序列分碼多重接取系統上，經由電腦模擬的結果顯示，新提出的多媒體身神經模糊功率控制方法具有相當優良的系統效能。

This thesis introduces a new application of neuro-fuzzy control theory to the power control in a multirate direct-sequence code-division multiple-access (DS-CDMA) cellular radio system. Emerging multimedia services in cellular radio systems introduce a variable transmission rate, meanwhile, the propagation channel of a radio system exhibits severe signal shadowing and multipath fading, which results in wide variation of signal-to-interference ratio (SIR) at the receiver. To tackle this problem, the combined control of power and transmission rate is used to maintain the desired link quality and thus achieve higher capacity and offers a user with multiple data rate simultaneously. In order to mitigate the channel variation effect precisely, a new application of neuro-fuzzy theory to the power control strategy is introduced in this thesis. Combining the approximate value in the fuzzy inference, and the detailed adjustment of the on-line learning in the neural networks, the output value can decrease the quantity the target value. Therefore, the system can predict the tendency in the signal fading and compensate the effect in the loop delay. The simulation results indicate that the neuro-fuzzy power control provides higher average transmission rate, lower probability of unsuccessful transmission, and less outage probability than the previous mechanisms.

中文摘要------------------------------------------------------------------------------------- i
英文摘要-------------------------------------------------------------------------------------- iii
誌謝-------------------------------------------------------------------------------------------- v
目錄-------------------------------------------------------------------------------------------- vi
圖目錄----------------------------------------------------------------------------------------- viii
表目錄----------------------------------------------------------------------------------------- xii
第一章 蜂巢式無線行動通訊系統----------------------------------------------------- 1
1.1 CDMA概述-------------------------------------------------------------------------- 2
1.2 功率控制---------------------------------------------------------------------------- 4
第二章 系統模型-------------------------------------------------------------------------- 8
2.1 CDMA系統模型-------------------------------------------------------------------- 8
2.2 通道傳播現象--------------------------------------------------------------------- 9
2.2.1 路徑損失----------------------------------------------------------------------- 11
2.2.2 衰減----------------------------------------------------------------------------- 11
2.3 多媒體（Multimedia）服務------------------------------------------------------ 13
第三章 模糊類神經網路應用於功率控制-------------------------------------------- 16
3.1模糊類神經網路-------------------------------------------------------------------- 16
3.1.1 模糊推論部分----------------------------------------------------------------- 17
3.1.2 類神經學習部分------------------------------------------------------------- 20
3.1.3 模糊類神經網路整合部分------------------------------------------------- 22
3.2 方法---------------------------------------------------------------------------------- 35
第四章 系統模擬-------------------------------------------------------------------------- 40
4.1 模擬模型---------------------------------------------------------------------------- 40
4.2 量測效能（performance）評估---------------------------------------------------- 41
4.2.1平均傳輸率-------------------------------------------------------------------- 41
4.2.2 傳輸率變化量---------------------------------------------------------------- 42
4.2.3 傳送資料失敗機率---------------------------------------------------------- 42
4.2.4信號中斷機率分析----------------------------------------------------------- 43
4.3 模擬結果---------------------------------------------------------------------------- 43
第五章 結論-------------------------------------------------------------------------------- 80
參考資料-------------------------------------------------------------------------------------- 81

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