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姓名 謝福元(Fu-Yung Hsieh)  查詢紙本館藏   畢業系所 通訊工程學系
論文名稱 學習向量量化網路與低密度同位元檢查碼應用於區域多點分配服務系統
(Learning Vector Quantization Compatible LDPC Code for LMDS Systems)
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摘要(中) 論文名稱:學習向量量化網路與低密度同位元檢查碼應用於區域多點分配服務系統
校所組別:國立中央大學通訊工程研究所
畢業時間及提要別:九十七學年度第二學期 碩士
研究生:謝福元
指導教授:蔡木金 教授 林嘉慶 教授
論文提要內容:
在各項微波傳輸技術中,Local Multipoint Distribution System(區域多點分配服務)可以說是最受到注目的,它是雙向數位蜂?式通訊系統,因為它可以提供雙向的語音、影像及數據傳輸的寬頻整合服務。LMDS能夠滿足各類型的用戶分佈與應用,從住家到商業用途均能提供服務,服務的範圍相當廣泛,具有很大的彈性及擴充性。但是在LMDS系統中,外在環境的變化會嚴重影響系統的效能,常見的就是落雨。除了落雨會影響系統的效能,另外一個影響的系統效能的就是細胞間互相的干擾。
因此為了減少LMDS系統中因為雨衰和細胞內干擾的問題,造成頻寬不必要的浪費。我們提出新的想法,利用LMDS系統分析的結果,並以學習向量量化網路具有快速學習分類及易於實現的特性來判斷通道品質的好壞來,決定碼率的使用,當系統的外在干擾大於某評估值則使用較長的編碼傳送資料,反之,則以較短的編碼傳送。在編碼的部分則運用錯誤更正碼之LDPC碼改進LMDS系統的效能。根據系統的干擾環境影響下,減少冗餘碼的使用增加頻寬,在不損失錯誤率下,提升頻寬效益,達到增進系統效能的目標。
摘要(英) Abstracts
In every microwave transmission technology, LMDS can be said and receive the note purpose most. LMDS system is a two-way digital cellular system operating at 20-50 GHz. It offers the multiple services of the audio, video, multimedia and data transmission and can meet all kinds of users’’ demands. However, it is to influence the important factor in LMDS system which is rain attenuation and inter-cell interference (ICI).
Therefore, LMDS is affected the interference problem by rain attenuation and inter-c ell interference (ICI). Avoiding the band-width unnecessary waste, we proposed new idea that is the LVQ compatible LDPC code for LMDS system. It utilized LVQ and according to the LMDS system channel quality to determine the code rate. We simulated the LMDS system interference factors such as rain attenuation, Cross-Polarization Discrimination(XPD) and beam-width. Those factors will be influence the LMDS system performance.
We use learning vector quantization nets to classify the data. And we implement the LDPC code of error correction coding to increasing the system performance and reduce the redundancy bit. Base on LMDS system does not loss Bit-Error-Rate and got the good spectrum efficiency.
關鍵字(中) ★ 向量量化網路
★ 檢查碼
關鍵字(英) ★ LMDS
★ LDPC
論文目次 Contents
List of Figures................................. i
List of Tables ............................... iii
Chapter 1 Introduction .......................... 1
1-1. Local Multipoint Distribution Service
(LMDS).....................................1
1-1.1. Introduction of LMDS ................. 1
1-1-2. FCC Band Plan for LMDS ................6
1-2. Motivation................................ 9
1-3. Structure of thesis ..................... 10
Chapter 2 Background of LMDS ................... 11
2-1. Characteristics of Propagation Channel .. 11
2-1-1. Propagation in Free Space............ 11
2-1-2. Propagation Loss .................... 12
2-2. Inter-Cell interference calculation ..... 12
2-2-1. The well-know radio formula.......... 12
2-2-2. ITU-R Rain Attenuation Prediction
Model ............................... 13
2-2-3. Cross-Polarization Discrimination
(XPD) ............................... 17
2-2-4. Path loss exponent (α) .............. 17
2-3. Layout of Cellular Configuration ........ 18
2-3-1. System Deployment Trade-offs ........ 18
2-3-2. Frequency Reuse ..................... 19
2-3-3. Alternating Polarizations............ 20
2-3-4. Cell Planning of LMDS................ 21
2-4. Link Budget Calculation ................. 22
2-5. Typical architecture .................... 23
2-5-1. Co-channel interference.............. 24
Chapter 3 Learning vector quantization net....... 29
3-1. LVQ Introduction ........................ 29
3-2. LVQ Algorithm ........................... 30
3-3. LVQ Architecture......................... 33
3-4. LVQ learning............................. 34
Chapter 4 LDPC codes ........................... 37
4-1. Introduction............................. 37
4-1-1. Representations for LDPC codes ...... 37
4-1-2. Regular and irregular LDPC codes .... 39
4-1-3. Constructing LDPC codes ............. 39
4-2. Performance complexity .................. 40
4-3. Decoding LDPC codes ..................... 41
4-3-1. Hard-decision decoding .............. 41
4-3-2. Soft-decision decoding............... 44
4-4. Encoding................................. 47
Chapter 5 Performance Analysis and Simulation
Results............................... 49
5-1. Analysis construction of LMDS Systems.... 49
5-1-1. Effects of XPD....................... 49
5-1-2. Effects of Rain...................... 55
5-2. Channel Quality ......................... 60
5-3. Simulation Results with LVQ and LDPC Code
of LMDS System........................... 64
Chapter 6 Conclusions........................... 67
References ..................................... 68
參考文獻 References
[1] Clint Smith., “LMDS [electronic resource]”, Publication New York : McGraw-Hill, c2000, pp 12-16
[2] S. Farahvash and M. Kavehrad, “Co-channel Interference Assessment for Line-of-Sight and Nearly Line-of-Sight Millimeter-Waves Cellular LMDS Architecture,” International Journal of Wireless Information Networks (Kluwer Academic Publishers), Vol.7, No.4, 2000
[3] Propagation Data and Prediction Methods Required for The Design of Terrestrial Line-of-sight Systems, Rec. ITU-R P.530-8.
[4] Shieh Chiu-wen “The Engineering of K Band Digital Microwave Systems,” Telecommunication Technique Journal, Vol.1, No.2, May 1997.
[5] B Papazian Peter., George A. Hufford, Robert J. Achatz and Randy Hoffman, “Study of the Local Multipoint Distribution Service Radio Channel,” IEEE Transactions on Broadcasting, Vol. 43, No. 2, June 1997.
[6] Chih-Yuan Chu and K.S. Chen, “Effects of Rain Fading on the Efficiency of the Ka-band LMDS System in the Taiwan Area,” IEEE Transactions on vehicular technology, January 2005.
[7] R. Bose, G. Bauer, A. Hayn, R. Jakoby, “LOS and NLOS interference investigations for LMDS network,” Dept. of EE., IIT Delhi, Hauz Khas, 110016.
[8] Pan, J. Communications “Extension of two-stage vector quantization-lattice vector quantization”, IEEE Transactions on Volume 45, Issue 12, Dec. 1997
[9] Kohonen, T “The self-organizing map”, Proceedings of the IEEEVolume 78, Issue 9, Sept. 1990
[10] Kohonen, T “Improved versions of learning vector quantization” Neural Networks, 1990., 1990 IJCNN International Joint Conference on 17-21 June 1990
[11] Kohonen,T; Oja,E; Simula,O; Visa,A; Kangas,J; “Engineering applications of the self-organizing map”, Proceedings of the IEEE Volume 84, Issue 10, Oct. 1996
[12] Bernhard M.J. Leiner, “LDPC Codes – a brief Tutorial”, Stud.ID.: 53418L April 8, 2005
[13] R. Gallager, “Low-density parity-check codes”, IRE Trans. Information Theory, pp. 21{28, January 1962.}
[14] D. MacKay, “Good error correcting codes based on very sparse matrices, ” IEEE Trans. Information Theory, pp. 399{431, March 1999.}
[15] J. L. Fan, Constrained coding and soft iterative decoding for storage. PhD thesis, Stanford University, 1999.
[16] Hikmet sari, “Some Design Issues in Local Multipoint Distribution System,” IEEE, 1998.
[17] Mu-King Tsay and Fu-Tung Wang, “A Twisted Sector Cellular Pattern in Local Multipoint Distribution System,” Journal of the Chinese Institute of Electrical Engineering , Vol.10, No3. 2003.
指導教授 蔡木金、林嘉慶
(Mu-King Tsay、Jia-Chin Lin)
審核日期 2009-7-21
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