請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/51596
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 闕志達(Tzi-Dar Chiueh) | |
dc.contributor.author | I-Min Kuo | en |
dc.contributor.author | 郭裔民 | zh_TW |
dc.date.accessioned | 2021-06-15T13:40:27Z | - |
dc.date.available | 2016-02-15 | |
dc.date.copyright | 2016-02-15 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2016-01-12 | |
dc.identifier.citation | 參考文獻
NOMA [1] Benjebbour, A. and et al., “Concept and Practical Considerations of Non-orthogonal Multiple Access (NOMA) for Future Radio Access,” IEEE ISPACS, Nov.2013 [2] Saito, Y. and et al., “Non-Orthogonal Multiple Access (NOMA) for Future Radio Access,” IEEE VTC, June 2013 [3] Benjebbour, A. and et al., “System-Level Performance of Downlink NOMA for Future LTE Enhancements,” IEEE GC Wkshps, Dec. 2013 [4] Saito, Y. and et al., “System-Level Performance Evaluation of Downlink Non-orthogonal Multiple Access (NOMA),” IEEE PIMRC, Sep. 2013 [5] Schaepperle, Joerg and et al., “Enhancement of Throughput and Fairness in 4G Wireless Access Systems by Non-Orthogonal Signaling,” Bell Labs Technical Journal, Winter 2009 [6] Otao, N. and et al., “Performance of Non-orthogonal Access with SIC in Cellular Downlink Using Proportional Fair-Based Resource Allocation,” IEEE ISWCS, Aug. 2012 NOMA with SUMIMO [7] Benjebbour, A. and et al., “System-Level Performance of Downlink NOMA Combined with SU-MIMO for Future LTE Enhancements,” IEEE GC Wkshps, Dec. 2014 [8] Yang Lan and et al., “Considerations on Downlink Non-Orthogonal Multiple Access (NOMA) Combined with Closedloop SU-MIMO,” IEEE ICSPCS, Dec. 2014 [9] Saito, Y. and et al., “System-Level Performance of Downlink Non-orthogonal Multiple Access (NOMA) Under Various Environments,” IEEE VCT, May 2015 [10] Qi Sun and et al., “On the Ergodic Capacity of MIMO NOMA Systems,” IEEE WCL, Aug. 2015 NOMA with beamforming [11] Beomju Kim and et al., “Non-orthogonal Multiple Access in a Downlink Multiuser Beamforming System,” IEEE MILCOM, Nov. 2013 [12] Higuchi, K. and et al., “Non-orthogonal Access with Random Beamforming and Intra-beam SIC for Cellular MIMO Downlink,” IEEE VCT, Sep. 2013 [13] Anxin Li and et al., “Performance Evaluation of Non-orthogonal Multiple Access Combined with Opportunistic Beamforming,” IEEE VCT, May 2014 Multi-user beamforming [14] Taesang Yoo and et al., “Multi-Antenna Downlink Channels with Limited Feedback and User Selection,” IEEE JSAC, Sep 2007 [15] Taesang Yoo and et al., “On the Optimality of Multiantenna Broadcast Scheduling Using Zero-Forcing Beamforming,” IEEE JSAC, March 2006 [16] Kaviani, S. and et al., “User Selection for Multiple-Antenna Broadcast Channel with Zero-Forcing Beamforming,” IEEE GLOBECOM, Dec. 2008 [17] Jingxiu Liu and et al., “A Low Complexity Capacity-Greedy User Selection Scheme for Zero-Forcing Beamforming,” IEEE VCT, April 2009 [18] Dimic, G. and et al., “On Downlink Beamforming With Greedy User Selection: Performance Analysis and a Simple New Algorithm,” IEEE TSP, Oct. 2005 [19] Fang Liang and et al., “A User Scheduling Scheme for MU-MIMO System with Coordinated Beamforming,” IEEE ICACC, March 2010 [20] Spencer, Q.H. and et al., “Zero-Forcing Methods for Downlink Spatial Multiplexing in Multiuser MIMO Channels,” IEEE TSP, Feb. 2004 [21] Bo Zhou and et al., “Chordal Distance-Based User Selection Algorithm for the Multiuser MIMO Downlink with Perfect or Partial CSIT,” IEEE AINA, March 2011 [22] Kyeongjun Ko and et al., “Multiuser MIMO User Selection Based on Chordal Distance,” IEEE TCOMM, March 2012 Vienna LTE simulator [23] Christian Mehlführer and et al., “The Vienna LTE Simulators -Enabling Reproducibility in Wireless Communications Research,” EURASIP Journal on Advances in Signal Processing, July 2011 [24] Mehlfuhrer, C. and et al., “SIMULATING THE LONG TERM EVOLUTION PHYSICAL LAYER,” IEEE Signal Processing Conference, Aug. 2009 [25] Ikuno, J.C. and et al., “System level simulation of LTE networks,” IEEE VCT, May 2010 LTE [26] Physical channels and modulation (3GPP TS 36.211 version 10.5.0 Release 10) [27] Multiplexing and channel coding (3GPP TS 36.212 version 10.6.0 Release 10) [28] UE Radio Transmission and Reception (3GPP TR 25.890 V1.0.0) [29] Physical layer procedures (3GPP TS 36.213 version 11.2.0 Release 11) Joint modulation [30] Chunlin Yan and et al., “Receiver Design for Downlink Non-Orthogonal Multiple Access (NOMA) ,” IEEE VTC, May 2015 [31] Alexander Schertz and et al., “Hierarchical modulation — the transmission of two independent DVB-T multiplexes on a single frequency,” EBU Texhnical Review, pp. 1-13, 2013 MIMO: Linear detector [32] Butler, M.R.G. and et al., “A Zero-Forcing Approximate Log-Likelihood Receiver for MIMO Bit-Interleaved Coded Modulation,” IEEE LCOMM, Feb. 2004 [33] Seethaler, D. and et al., “An Efficient MMSE-Based Demodulator for MIMO Bit-Interleaved Coded Modulation,” IEEE GLOCOM, Dec. 2004 [34] Ying-Chang Liang and et al., “Asymptotic Performance of MMSE Receivers for Large Systems Using Random Matrix Theory,” IEEE TIT, Nov. 2007 [35] Tosato, F. and et al., “Simplified Soft-Output Demapper for Binary Interleaved COFDM with Application to HIPERLAN/2,” IEEE ICC, 2002 [36] Yuta Sagae and et al., “improved interference rejection and suppression technology,” NTT DOCOMO Technical Journal Vol. 15 NO. 2 [37] Zijian Bai and et al., “On the Receiver Performance in MU-MIMO Transmission in LTE,” ICWMC 2011 MIMO: Sphere decoder [38] Studer, C. and et al., “Soft-Output Sphere Decoding: Algorithms and VLSI Implementation,” IEEE JSAC, Feb. 2008 [39] Mayer, M. and et al., “Soft-Output Sphere Decoding: Single Tree Search vs. Improved K-Best,” IEEE IWSSIP, June 2011 [40] Barbero, L.G. and et al., “A FIXED-COMPLEXITY MIMO DETECTOR BASED ON THE COMPLEX SPHERE DECODER,” IEEE SPAWC, July 2006 [41] Shin-Lin Shieh and et al., “Low-Complexity Soft-Output Sphere Decoding with Modified Repeated Tree Search Strategy,” IEEE LCOMM, Jan. 2013 [42] Milliner, D.L. and et al., “A Fixed-Complexity Smart Candidate Adding Algorithm for Soft-Output MIMO Detection,” IEEE JSTSP, Dec. 2009 MIMO: Preprocessing [43] Wübben, D. and et al., “Efficient algorithm for decoding layered space-time codes,” IET EL, Oct. 2001 [44] Wubben, D. and et al., “MMSE Extension of V-BLAST based on Sorted QR Decomposition,”IEEE VETECF, Oct. 2003 [45] Guangxia Zhou and et al., “A Soft Tree Pruning Based Fixed-complexity Sphere Decoder for Interference-limited MIMO Systems,” IEEE WCNC, April 2013 [46] Zhou, Guangxia and et al., “An Ordering Scheme Exploiting Modulation Information for Tree Search Based Detection in Interference-Limited MIMO Systems,” IEEE WCL, Feb. 2013 [47] Tao Cui and et al., “An Efficient Generalized Sphere Decoder for Rank-Deficient MIMO Systems,” IEEE VETECF, Sep. 2004 [48] Rosalind W. Picard, “Decorrelating and then Whitening data” MIMO: channel capacity [49] Hochwald, B.M. and et al., “Achieving Near-Capacity on a Multiple-Antenna Channel,” IEEE TCOMM, March 2003 [50] Fertl, P. and et al., “Capacity-based performance comparison of MIMO-BICM demodulators,” IEEE SPAWC, July 2008 [51] Fertl, P. and et al., “Performance Assessment of MIMO-BICM Demodulators Based on Mutual Information,” IEEE TSP, March 2012 Other [52] http://scimonth.blogspot.tw/2014/09/4g_29.html [53] http://www.jwcn.eurasipjournals.com/content/2012/1/54/figure/F3 [54] http://niviuk.free.fr/lte_resource_grid.html [55] T. D. Chiueh, P. Y. Tsai, I. W. Lai, “Baseband Receiver Design for Wireless MIMO-OFDM Communications, 2nd ed.,” Wiley Inc., Apr. 2012 [56] http://www.nt.tuwien.ac.at/ | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/51596 | - |
dc.description.abstract | 非正交多工存取(Non-orthogonal multiple access, NOMA)基於OFDM的載波上,再分配功率並疊加兩個以上用戶的訊號,能提升系統總傳輸率,有望成為下一世代行動通訊採用的多工存取技術。在本論文中,著重在NOMA接收端的設計與實現,並使用維也納大學提供的Vienna LTE simulator作為開發平台。
本論文第四章透過比例公平排程模擬,包括單輸入單輸出和多用戶波束成型系統,證實NOMA相比OMA都有更高的總傳輸率。在NOMA系統下,近用戶端需要先扣除功率較大的遠用戶訊號,再解自己的訊號,我們比較碼字連續干擾消除和符元連續干擾消除兩種強干擾扣除方法,並模擬文獻[30]提出的聯合調變和解調變方法,其中碼字連續干擾消除的效能能接近理想干擾扣除。 本論文第六章結合NOMA和SUMIMO系統,比較各種偵測器的效能和複雜度。在多層訊號的系統下,忽略一點干擾都會嚴重影響非線性偵測的效能,因此我們偵測遠用戶訊號會同時考慮近用戶的弱訊號以提升效能。我們提出限制搜尋範圍方法以降低球面解碼的複雜度,模擬結果顯示可以在維持相同效能下,減少15-70%的複雜度。我們再提出自動切換偵測器,會根據編碼方案、功率因子、通道狀況,切換合適的偵測器,達到錯誤率夠低又複雜度較低的偵測結果。 本論文第七章延伸第六章的內容,結合NOMA和MUMIMO with multi-stream系統。在接收端,我們需要處理波束間干擾。也同樣加上限制搜尋範圍法和自動切換偵測器以降低複雜度。 | zh_TW |
dc.description.abstract | Non-orthogonal multiple access (NOMA) which superposes multiple users’ signals in the power domain based on OFDM waveform, can improve system throughput. NOMA is one of the promising radio access techniques for next mobile communication generation. In this thesis, we focus on receiver design of NOMA, and we use Vienna LTE simulator as simulation environment.
In chapter 4, by proportional fair scheduling, we verify that NOMA has larger total throughput than OMA, both in SISO and multi-user beamforming system. In NOMA system, near user needs to cancel stronger far user’s signal first, and then detects its signal. We compare codeword successive interference cancellation (SIC) and symbol SIC, and implement jointly modulation and detection [30]. We show that codeword SIC can approach the performance of ideal SIC. In chapter 6, we combine NOMA with SUMIMO; compare performance and complexity of various detectors. For multi-stream signal, even weak interference would seriously affect non-linear detector, so we consider weaker near user’s signal to detect far user’s signal. We propose limited search space method to reduce complexity of sphere decoder. By simulation, we show that it can reduce 15-70% complexity and maintain the same performance. We also propose adaptive detector, which can switch detector according to MCS, power factor, and SNR, so as to achieve good enough error rate and low complexity. In chapter 7, we combine NOMA with MUMIMO with multi-stream, and we need to deal with IBI at receiver side. Also, we implement limited search space method and adaptive detector to reduce complexity. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T13:40:27Z (GMT). No. of bitstreams: 1 ntu-104-R02943049-1.pdf: 4249077 bytes, checksum: a1255a27e6675c72d04dd4748206deee (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 目錄
致謝 i 摘要 iii Abstract v 目錄 vii 圖目錄 xi 表目錄 xix 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機 2 1.3 論文組織和貢獻 3 第二章 非正交多工存取系統介紹 5 2.1 非正交多工存取(Non-orthogonal Multiple Access, NOMA)簡介 5 2.2 通道容量和傳輸率增益 6 2.3 排程和功率分配演算法 9 2.4 結合多輸入多輸出系統 12 2.4.1 結合SUMIMO 12 2.4.2 結合MUMIMO 13 第三章 Vienna LTE Simulator介紹 17 3.1 LTE簡介 17 3.2 Vienna LTE Simulator簡介 20 3.3 Vienna LTE Link Level Simulator平台架構 21 3.3.1 發射端架構 22 3.3.2 通道模型 27 3.3.3 接收端架構 29 3.4 模擬流程 31 第四章 多輸入多輸出(MIMO)系統介紹 35 4.1 通道容量與訊號模型 35 4.2多輸入多輸出偵測(MIMO Detection) 36 4.2.1強制歸零(Zero-forcing, ZF) 37 4.2.2 線性最小均方錯誤(linear minimum mean square error, LMMSE) 38 4.2.3 球面解碼(Sphere Decoder, SD) 39 4.2.3.1 最大相似解 39 4.2.3.2 球面解碼簡介 40 4.2.3.3排序QR分解(Sorted QR Decomposition, SQRD) 41 4.2.3.4 樹狀搜尋 43 4.2.3.5 使用Mexfunction加速樹狀搜尋 47 4.3 由LLR估算通道容量 47 4.4 模擬結果 49 第五章 在Vienna LTE Simulator中實現NOMA系統 55 5.1 建立NOMA系統 55 5.1.1 NOMA系統發射端架構 56 5.1.2 NOMA系統接收端架構 57 5.2 模擬比例公平排程(Proportional Fair, PF) 58 5.2.1 建立大尺寸通道模型 58 5.2.2 單輸入單輸出(SISO)系統 60 5.2.2.1 模擬結果 64 5.2.3 多用戶波束成型(Multi-user Beamforming, MUBF)系統 66 5.2.3.1 模擬結果 70 5.3 近用戶端解碼方法比較 73 5.3.1 碼字連續干擾消除(Codeword SIC, CWSIC) 73 5.3.2 符元連續干擾消除(Symbol SIC) 74 5.3.3 聯合偵測(Joint Detect) 75 5.3.4 聯合調變和聯合偵測(Joint Detect with Joint Modulation) 77 5.3.5 模擬結果 80 第六章 NOMA結合SUMIMO 89 6.1 NOMA結合OLSM 90 6.1.1 訊號模型 90 6.1.2 遠用戶訊號(xf)偵測 91 6.1.2.1 聯合星座圖 91 6.1.2.2 線性最小均方錯誤 91 6.1.2.3 全搜尋球面解碼 92 6.1.2.3.1 限制搜尋範圍法 94 6.1.3 模擬結果 94 6.2 NOMA結合CLSM 103 6.2.1 訊號模型 103 6.2.2 遠用戶訊號(xf)解碼 103 6.2.2.1 線性最小均方錯誤 103 6.2.2.2 白化(Pre-whitening)干擾再球面解碼 104 6.2.2.3 全搜尋球面解碼 105 6.2.2.3.1 前置處理 105 6.2.2.3.2 限制搜尋範圍法 108 6.2.3 模擬結果 109 6.3 自動切換偵測器(Adaptive Detector) 117 6.3.1 OLSM模擬結果 119 6.3.2 CLSM模擬結果 129 第七章 NOMA結合MUMIMO with Multi-stream 139 7.1排程和波束成型 139 7.2 訊號模型 141 7.3 遠用戶端訊號(x2)解碼 142 7.3.1 線性最小均方錯誤 142 7.3.2 白化(pre-whitening)波束間干擾再球面解碼 142 7.3.3 全搜尋球面解碼 143 7.3.4 模擬結果 145 7.4 自動切換偵測器 154 7.4.1 模擬結果 156 第八章 討論與結論 163 8.1 討論 163 8.2 結論 165 8.3 未來展望 166 參考文獻 167 縮寫列表 171 | |
dc.language.iso | zh-TW | |
dc.title | 非正交多工存取通訊系統之接收機設系與實現 | zh_TW |
dc.title | Receiver Design and Implementation of Non-orthogonal Multiple Access (NOMA) Communication System | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 蘇炫榮(Hsuan-Jung Su),蘇柏青(Borching Su),陳柏穎(Po-Ying Chen) | |
dc.subject.keyword | 非正交多工存取,連續干擾消除,球面解碼,自動切換偵測, | zh_TW |
dc.subject.keyword | NOMA,interference cancellation,sphere decoder,adaptive detector, | en |
dc.relation.page | 172 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2016-01-13 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電子工程學研究所 | zh_TW |
顯示於系所單位: | 電子工程學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-104-1.pdf 目前未授權公開取用 | 4.15 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。