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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 蘇炫榮(Hsuan-Jung Su) | |
dc.contributor.author | Li-Wei Fang | en |
dc.contributor.author | 枋立瑋 | zh_TW |
dc.date.accessioned | 2021-06-13T07:48:19Z | - |
dc.date.available | 2005-07-28 | |
dc.date.copyright | 2005-07-28 | |
dc.date.issued | 2005 | |
dc.date.submitted | 2005-07-26 | |
dc.identifier.citation | [1] Saunders, Simon R, Antennas and propagation for wireless communication systems, Chichester, England ; New York : J. Wiley, c1999
[2] Theodore S. Rappaport, Wireless communications : principles and practice, Upper Saddle River, N.J. : Prentice Hall PTR, c2002 [3] Stephen B. Wicker, Error Control Systems for Digital Communication and Storage, Prentice Hall, c1995 [4] Shu Lin; Costello, D.; Miller, M.;” Automatic-repeat-request error-control schemes” Communications Magazine, IEEEVolume 22, Issue 12, Dec 1984 Page(s):5 – 17 [5] 林國全,Design of Adaptive Error Control Schemes for Wireless Communication System, 國立台灣大學電信工程研究所,2004 [6] Hagenauer, J.;” Rate-compatible punctured convolutional codes (RCPC codes) and their applications” Communications, IEEE Transactions on Volume 36, Issue 4, April 1988 Page(s):389 – 400 [7] Proakis, John G, Digital communications 4th Edition ,Mc Graw Hill [8] Wang Yafeng; Zhang Lei; Yang Dacheng;” Performance analysis of type III HARQ with turbo codes” Vehicular Technology Conference, 2003. VTC 2003-Spring. The 57th IEEE Semiannual Volume 4, 22-25 April 2003 Page(s):2740 - 2744 vol.4 [9] Kallel, S.; Haccoun, D.;” Generalized type II hybrid ARQ scheme using punctured convolutional coding” Communications, IEEE Transactions on Volume 38, Issue 11, Nov. 1990 Page(s):1938 - 1946 [10] Qingchun Chen; Pingzhi Fan;” On the performance of type-III hybrid ARQ with RCPC codes” Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003. 14th IEEE Proceedings on Volume 2, 7-10 Sept. 2003 Page(s):1297 - 1301 vol.2 [11]Chase, D.;” Code Combining--A Maximum-Likelihood Decoding Approach for Combining an Arbitrary Number of Noisy Packets” Communications, IEEE Transactions on [legacy, pre - 1988] Volume 33, Issue 5, May 1985 Page(s):385 – 393 [12] Brennan, D.G.;,” Linear diversity combining techniques” Proc. IRE., vol 47, pp1075-1102,June 1959 [13] Brennan, D.G.;,” Linear diversity combining techniques” Proceedings of the IEEE Volume 91, Issue 2, Feb 2003 Page(s):331 – 356 [14] Chakraborty, S.S.; Yli-Juuti, E.; Liinaharja, M.;” An ARQ scheme with packet combining” Communications Letters, IEEE Volume 2, Issue 7, July 1998 Page(s):200 - 202 [15] Harvey, B.A.; Wicker, S.B.;” Packet combining systems based on the Viterbi decoder” Communications, IEEE Transactions on Volume 42, Issue 234, FEBRUARY/MARCH/APRIL 1994 Page(s):1544 - 1557 [16] Nakamura, M.; Awad, Y.; Vadgama, S.;” Adaptive control of link adaptation for high speed downlink packet access (HSDPA) in W-CDMA”, Wireless Personal Multimedia Communications, 2002. The 5th International Symposium on Volume 2, 27-30 Oct. 2002 Page(s):382 - 386 vol.2 [17] Jinsock Lee; Arnott, R.; Hamabe, K.; Takano, N.;” Adaptive modulation switching level control in high speed downlink packet access transmission”, 3G Mobile Communication Technologies, 2002. Third International Conference on (Conf. Publ. No. 489) 8-10 May 2002 Page(s):156 – 159 [18]Takeda, D.; Chow, Y.C.; Strauch, P.; Tsurumi, H.;” Threshold controlling scheme for adaptive modulation and coding system”, Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on Volume 2, 5-8 Sept. 2004 Page(s):1351 - 1355 Vol.2 [19] ”IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems”, IEEE Std 802.16-2004 (Revision of IEEE Std 802.16-2001) 2004 Page(s):0_1 – 857 [20] Peebles, Peyton Z, Probability, random variables, and random signal principles, New York: McGraw-Hill, c1980 [21]王璟瀚,Multi-user Detection Techniques In Multi-antenna Systems,國立台灣大學電信工程研究所,2004 [22] P. Elias,”Coding for Noisy Channel”, IRE conv. Record,part 4,pp 37-47,1955 [23] Gallager, Robert G., Discrete stochastic processes, Boston :Kluwer Academic Publishers,c1996. [24] Shu Lin, Daniel J. Costello, Jr, Error control coding : fundamentals and applications, Englewood Cliffs, N.J. : Prentice-Hall, c1983 [25] Frenger, P.; Parkvall, S.; Dahlman, E.;” Performance comparison of HARQ with Chase combining and incremental redundancy for HSDPA”, Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th Volume 3, 7-11 Oct. 2001 Page(s):1829 - 1833 vol.3 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/35926 | - |
dc.description.abstract | 根據 Shannon 定理我們可以知道在理想狀況之下,系統可以根據傳輸時所遭遇到的訊雜比(SNR)來決定此時最大的傳輸的速率。換句話而言,系統可以根據訊雜比來選擇合適的調變和合適的編碼方式來傳送資料。
然而在真實的系統中,Shannon定理所決定出來的最大傳輸速率目前還沒辦法被實現,所以我們能做的就是根據訊雜比去選擇一組擁有最大的條件輸出率的調變和編碼方式。不幸地,每組調變和編碼方式的表現卻會因為傳輸通道的統計特性有所不同,而訊雜比也沒有辦法完全將整個通道的統計特性顯示出來,此統計特性會根據傳輸通道的某些特性有關,如:都卜勒頻率(Doppler frequency)和多路徑效應(Multi-path effect)。 當傳輸通道的統計特是固定不變,我們可以藉由事先模擬得知如何去選擇一組調變和編碼方式來獲得最大的輸出率(throughput)。實際上,傳輸通道的統計特性並不可能是固定不變的且事先知道傳輸通道的統計特性是不太可能的,所以我們必須讓系統能夠自主性和及時性地去適應通道的統計特性以便獲得最大的輸出率。 在本論文中,我們利用ACK/NACK來調整系統的參數使得系統能夠在以獲得最大化的輸出率為前提之下來選擇調變和編碼的方式。 | zh_TW |
dc.description.abstract | According to the Shannon theory, the optimal transmitted data rate is decided by the signal-to-noise ratio (SNR). Therefore, the system can select an appropriate modulation and coding scheme (MCS) to transmit data based on some SNR.
In a real system, it is impossible to achieve the maximal transmitted rate under a certain SNR so far. As a result, the system can select the MCS which has the maximal conditional throughput under a certain SNR. Unfortunately, the conditional throughput of each MCS varies with the channel statistics such that SNR can not fully represent the channel condition. The statistics are affected by some factors like Doppler and multi-path effects. When the channel statistics are known and do not change with time, we can simulate previously to decide the system parameters used to select the MCS. In general, the statistics change with time and it is difficult to obtain the statistics online. Therefore, one of the best methods is to adaptively adjust the system parameters to adapt the channel statistics. In this thesis, we use the feedback information, ACK/NACK, to adjust the system parameters to adapt the channel statistics. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T07:48:19Z (GMT). No. of bitstreams: 1 ntu-94-R92942096-1.pdf: 1076721 bytes, checksum: 5bf33284d4cb6af04276fb73f102f0d0 (MD5) Previous issue date: 2005 | en |
dc.description.tableofcontents | Contents
Chapter 1. Introduction 1 1.1. Background 1 1.2. Motivation 2 1.3. Thesis outline 2 Chapter 2. Wireless channel 4 2.1. The AWGN Channel 4 2.2. The Rayleigh Fading Channel 5 2.3. The Ricean Fading Channel 10 2.4. The Multi-path Fading Channel 12 Chapter 3. Hybrid auto-repeat request 15 3.1. Auto-repeat request (ARQ) 15 3.2. Forward Error Correction 18 3.2.1. Convolutional code 19 3.2.2. Rate-Compatible Punctured Convolutional Code (RCPC Code) 22 3.3. Hybrid ARQ (HARQ) 25 3.3.1. Packet combining 26 Chapter 4. Adaptive Modulation and Coding (AMC) system 28 4.1. Motivation 28 4.1.1. AMC system without HARQ 28 4.1.2. AMC system with HARQ 29 4.1.3. MCS switching 30 4.2. The Algorithms to maintain target error rates 32 4.3. The Algorithm to Optimize the Throughput 34 4.3.1. The Proposed Algorithm 34 4.3.1.1. Throughput analysis 34 4.3.1.2. Operation 37 4.3.1.2.1. Operation for choosing MCS for AMC system without HARQ 38 4.3.1.2.2. Operation for choosing MCS for AMC system with HARQ 39 4.3.1.2.3. Adjusting the threshold values 40 4.4. Application 42 4.4.1. The Wireless-MAN-SCa physical layer 42 4.4.1.1. Encoder Structure 43 4.4.1.2. Mapping and Modulation 44 4.4.2. Performance 46 4.4.2.1. AMC system without HARQ 46 4.4.2.1.1. Performance with correct threshold values 46 4.4.2.1.2. Performance when the channel statistics are unknown 48 4.4.2.1.3. Speed of adaptation 51 4.4.2.1.4. Comparing different values of dk 52 4.4.2.2. AMC system with HARQ 54 4.4.2.2.1. Performance of type-II HARQ with the correct thresholds 54 4.4.2.2.2. Performance of type-I and type-II HARQ when the channel statistics are unknown 56 4.4.2.2.3. Speed of adaptation 57 4.5. Another existing algorithm to maximize throughput 59 4.5.1. Operation 59 4.5.2. Comparison between TCS and the proposed algorithm 63 4.6. The modified method 65 4.6.1.1. Fundamental 65 4.6.1.2. Operation 66 4.6.1.3. Simulation results 68 4.6.1.3.1. Performance with correct threshold values 68 4.6.1.3.2. Performance with incorrect initial threshold values 70 Chapter 5. Conclusion and future works 71 5.1. Conclusion 71 5.2. Future works 71 References | |
dc.language.iso | en | |
dc.title | IEEE 802.16 動態調變編碼的適應性最佳化演算法 | zh_TW |
dc.title | Adaptive Throughput Maximization for Adaptive Modulation and Coding in IEEE 802.16 | en |
dc.type | Thesis | |
dc.date.schoolyear | 93-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 林茂昭(Mao-Chao Lin),馮世邁(See-May Phoong),冀泰石 | |
dc.subject.keyword | 適應性調變編碼系統, | zh_TW |
dc.subject.keyword | hybrid ARQ,adaptive modulation and coding system,Rayleigh fading channel,RCPC codes,802.16, | en |
dc.relation.page | 74 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2005-07-26 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
顯示於系所單位: | 電信工程學研究所 |
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