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研究生:林瑋
研究生(外文):Woei Lin
論文名稱:基於模糊邏輯相容碼率打孔渦輪碼應用於區域多點分配服務系統
論文名稱(外文):Fuzzy Logic-based Rate Compatible Punctured Turbo Codes for LMDS Systems
指導教授:蔡木金
指導教授(外文):Mu-King Tsay
學位類別:碩士
校院名稱:國立中央大學
系所名稱:通訊工程研究所碩士在職專班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:英文
論文頁數:90
中文關鍵詞:區域多點分配服務系統渦輪碼模糊
外文關鍵詞:FuzzyTurbo CodeLMDS
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LMDS系統是使用在20-50GHz Ka Band之雙向細胞通信系統,其提供語音、多媒體及數據傳輸之等服務。但是,在Ka Band的LMDS系統,雨衰及細胞內干擾是影響通訊品質的重要因素。
為了減少LMDS系統中雨衰和細胞內干擾的問題,我們提出基於模糊邏輯相容碼率打孔渦輪碼改進LMDS系統的效能。根據系統的環境,利用模糊邏輯來調整渦輪碼碼率減少冗餘位元和改進頻譜效益。模擬結果顯示在沒有降低BER的狀態,相容碼率打孔渦輪碼在區域多點分配服務系統相較於沒有打孔的渦輪碼擁有較高的效益。
LMDS system is a two-way digital cellular system operating in 20-50 GHz of Ka Band. LMDS offers the services of the audio, video, multimedia and data transmission. However, rain attenuation and inter cell interference (ICI) influence the factor of Quality of Service (QoS) in LMDS system.
In order to reduce the impacts of rain fade and of inter cell interference on LMDS systems, we propose Fuzzy logic-based rate compatible punctured turbo codes to improve the performance of LMDS systems. In accordance with the system situation, we use fuzzy logic to adjust the code rate to reduce the redundancy bit and to improve the system efficiency. Simulation results show that the proposed rate compatible punctured Turbo code for LMDS systems compared with unpunctured Turbo code scheme leading an improvement of system efficiency when the BER do not be reduce.
Chapter 1 Introduction
1-1 Motivation and Objective
1-2 Organization of Thesis
Chapter 2 Local Multipoint Distribution Service (LMDS) Systems
2-1 Introduction of LMDS Systems
2-1-1 The Meaning of LMDS
2-1-2 Main Parts of LMDS system
2-1-3 Benefit of Fixed Wireless Access
2-1-4 FCC Band Plan for LMDS
2-2 Characteristics of Propagation Channel in LMDS
2-2-1 Propagation in Free Space
2-2-2 Propagation Loss
2-3 Propagation with Rain Attenuation and XPD
2-3-1 The Radio Formula
2-3-2 ITU-R530 Rain Attenuation Prediction Model
2-3-3 Cross-Polarization Discrimination (XPD)
2-4 Layout of Cellular Configuration
2-4-1 System Trade-offs of cell size and capacity
2-4-2 Frequency Reuse in LMDS system
2-4-3 Alternating Polarizations
2-4-4 Cell Planning of LMDS
2-5 Link Budget
2-6 Typical architecture
2-7 Co-channel interference
Chapter 3 Fuzzy Logic
3-1 Introduction
3-2 Fuzzy Set
3-2-1 Crisp Set
3-2-2 Fuzzy Set
3-3 Membership Functions
3-4 Fuzzy Inference
3-4-1 Fuzzy Rule
3-4-2 Fuzzy Propositions
3-4-3 Fuzzy Inference Method
3-5 Defuzzification
Chapter 4 Rate Compatible Punctured Turbo Code
4-1 Introductions
4-2 Turbo Code System Model
4-3 Turbo Code Encoder
4-3-1 RSC Encoder
4-3-2 Interleaver
4-3-3 Output Puncturing
4-4 Turbo Code Decoder
4-4-1 Iteration
4-4-2 Turbo Code Decoding Procedure
4-4-3 Soft Output Viterbi Algorithm (SOVA)
Chapter 5 Performance Analysis of LMDS systems and Simulation Results
5-1 Analysis Environment
5-1-1 Modulation Schemes
5-1-2 Coverage Ratio
5-1-3 Bit Error Rate of Modulation Schemes
5-2 Performance Analysis of LMDS systems
5-2-1 Analysis of Beamwidth Effects
5-2-2 Analysis of XPD Effects
5-2-3 Analysis of Rain Rate Effects
5-3 Judgment of Channel Quality
5-4 Simulation Results
Chapter 6 Conclusions
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