博碩士論文 945303015 詳細資訊




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姓名 花明耀(Ming-yao Hua)  查詢紙本館藏   畢業系所 通訊工程學系在職專班
論文名稱 基於適應性網路模糊推論系統相容碼率低密度同位元檢查碼應用於區域多點分配服務系統
(ANFIS-Based Rate Compatible LDPC code for LMDS systems)
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摘要(中) 區域多點分配服務系統(LMDS)為點對多點的固定式無線寬頻存取服務,是使用在 20-50GHz雙向數位式細胞系統,可提供高速服務,如雙向的語音、多媒體、數據傳輸及寬頻等,雨衰及細胞內干擾是影響LMDS系統服務品質的二個主要因素 。本篇論文針對影響LMDS系統效能的雨衰、波束寬、差級化等三個參數進行性能分析,發現雨衰影響最為明顯。
為了減少LMDS系統中雨衰之影響,本篇論文採用優異的通道編碼技術低密度同位元檢查碼,其錯誤更正能力可以接近shannon 的理論值,並提出相容碼率低密度同位元檢查碼方法,提供不同編碼率,用戶能根據通道品質選擇合適碼率,減少冗餘位元和改進傳輸率,通道品質好,則使用較高編碼率,通道品質差,則使用較低編碼率,至於通道品質之判斷,則採用適應性模糊推論系統塑造資料與自動創造模糊規則來判斷。模擬結果顯示提出基於適應性網路模糊推論系統相容碼率低密度同位元檢查碼方法方案較未使用相容碼率低密度同位元檢查碼獲得提升之傳輸率,但未損失其位元錯誤率。
摘要(英) Local Multipoint Distribution Service(LMDS)is the point to multi-point fixed wireless broadband access system and it is two-way digital cellular system operating in 20-50 GHz to provide high-speed service,such as broadband access 、data transmission、 two-way audio、 video、multimediaetc. Inter cell interference (ICI) and rain attenuation influence are the two major elements of Quality of Service (QoS) in LMDS system.
In the thesis to analysis of performance to such three pieces of influence LMDS systems efficiency parameter as Beamwith ,rain attenuation, XPD, etc. and discover the rain attenuation is the major factors of definitive system performance in LMDS systems. In order to reduce the impacts on rain attenuation , this thesis adopt mighty channel coding technologies Low Density Parity Check codes,Its error correction ability may approach shannon limit and propose Rate Compatible LDPC codes provide various coding rates and users can select suitable coding rates according to channel conditions, with respect to the rain attenuation to improve the performance of LMDS systems. The better the quality is, higher code rates are used to reduce the redundancy bit. As to the quality of channel conditions, we adopt ANFIS modeled the data with its own automatically created fuzzy rules to judge . Simulation results show that the proposed ANFIS-Based rate compatible LDPC code for LMDS systems compared with uncompatible LDPC code scheme leading improvement of Throughput. But not to loss the BER .
關鍵字(中) ★ 區域多點分配服務系統
★ 相容碼率低密度同位元檢查碼
★ 適應性網路模糊推論系統
關鍵字(英) ★ Adaptive Network Based Fuzzy Inference Systems
★ Rate Compatible Low Density Parity Check code
★ Local Multipoint Distribution Service
論文目次 摘要 I
Abstract II
誌謝 III
List of Figures VI
List of Table VIII
Chapter 1 Introduction 1
1-1 MOTIVATION AND OBJECTIVE 1
1-2 STRUCTURE OF THE THESIS 3
Chapter2 Background of LMDS 4
2-1 LOCAL MULTIPOINT DISTRIBUTION SERVICE (LMDS) 4
2-1-1 Introduction to the meaning of LMDS 4
2-1-2 LMDS system consists of four parts 5
2-1-3 Advantages of Fixed Wireless Access 6
2-1-4 FCC Band Plan for LMDS 8
2-2 CHARACTERISTICS OF PROPAGATION CHANNEL 10
2-2-1 Propagation in Free Space 10
2-2-2 Propagation Loss 11
2-3 INTER-CELL INTERFERENCE CALCULATION 12
2-3-1 The well-know radio formula 12
2-3-2 ITU-R Rain Attenuation Prediction Model 13
2-3-3 Cross-Polarization Discrimination (XPD) 17
2-3-4 Path loss exponent (α) 17
2-4 LAYOUT OF CELLULAR CONFIGURATION 18
2-4-1 System Deployment Trade-offs 19
2-4-2 Frequency Reuse 19
2-4-3 Alternating Polarizations 20
2-4-4 Cell Planning of LMDS 21
2-5 LINK BUDGET CALCULATION 23
2-6 TYPICAL ARCHITECTURE 24
2-6-1 Co-channel interference 25
Chapter 3 Adaptive Network Based Fuzzy Inference Systems 29
3-1 INTRODUCTIONS 29
3-2 ARCHITECTURE 29
3-3 HYBRID LEARNING ALGORITHM 31
3-4 ANFIS LEARNING METHOD 34
Chapter 4 Rate-Compatible LDPC code 36
4-1 INTRODUCTIONS 36
4-2 LDPC CODES 36
4-3 ENCODING AND DECODING OF LDPC CODES 38
4-3-1 Encoding LDPC codes 38
4-3-2 Decoding LDPC codes 40
4-3-2-1 The sum-product algorithm 40
4-4 RATE COMPATIBLE -LDPC CODES 46
Chapter 5 Performance Analysis and Simulation Results 48
5-1 SIMULATION ENVIRONMENT IN LMDS 48
5-1-1 Coverage ratio 48
5-1-2 Error Probabilities of Some Modulation Schemes 49
5-1-3 Modulation Schemes in LMDS 50
5-1-4 Bit Error Rate of Modulation Schemes 51
5-2 PERFORMANCE ANALYSIS IN LMDS 52
5-2-1 Effects of Rain 52
5-2-1-1 The Coverage Rate vs. Different Beamwidth 52
5-2-1-2 The Throughput vs.Different Beamwidth 52
5-2-1-3 Performance Analysis 53
5-2-2 The Relation between XPD and Rainfall. 58
5-2-3 Effects of XPD 65
5-2-3-1 Coverage Ratio vs. XPD 65
5-2-3-2 Throughput vs. XPD 66
5-2-3-3 Performance Analysis 67
5-2-4 Effects of beamwidth 75
5-2-4-1 Coverage Ratio vs. beamwidth 75
5-2-4-2 Throughput vs. beamwidth 76
5-2-4-3 Performance Analysis 76
5-3 CHANNEL QUALITY 83
5-3-1 Simulation Results 84
Chapter 6 Conclusions 88
References 89
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[5] Vincentzio Roman “Frequency Reuse and System Deployment in Local Multipoint Distribution Service,” IEEE Personal Communications, December 1999.
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[18] Xiang Pan, “Robust Image Transmission with Rate-Compatible Low-Density Parity-Check codes over Noisy Channels” Carleton University,the degree of master,2004
[19] Mu-King Tsay, Ze-Shin Lee, Jhen-Jhe Cyue, and Chien-Hsing Liao “Rate Compatible Punctured Turbo Code for LMDS Systems” IEEE Tran. ( 2007)-1-4244-1272-2
[20] Jyh-Shing. Roger Jang, “ANFIS: Adaptive-Network-Based Fuzzy Inference Systems”, IEEE Tran. on Systems, Man, and Cybernetics, Vol. 23, No. 03, pp.665-685, May 1993.
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指導教授 蔡木金(Mu-King Tsay) 審核日期 2008-7-7
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