博碩士論文 105523025 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:10 、訪客IP:18.118.162.180
姓名 黃鈺軒(Yu-Hsuan Huang)  查詢紙本館藏   畢業系所 通訊工程學系
論文名稱 上行多天線非正交多重接取技術在 非完美通道訊息下之效能分析
(Performance Analysis of Uplink MIMO-NOMA Systems in the Presence of Channel Estimation Error)
相關論文
★ 利用手持式手機工具優化行動網路系統於特殊型活動環境★ 穿戴裝置動態軌跡曲線演算法設計
★ 石英諧振器之電極面設計對振盪頻率擾動之溫度相依性研究★ 股票開盤價漲跌預測
★ 感知無線電異質網路下以不完美頻譜偵測進行資源配置之探討★ 大數量且有限天線之多輸入多輸出系統效能分析
★ 具有元學習分類權重轉移網路生成遮罩於少樣本圖像分割技術★ 具有注意力機制之隱式表示於影像重建 三維人體模型
★ 使用對抗式圖形神經網路之物件偵測張榮★ 基於弱監督式學習可變形模型之三維人臉重建
★ 以非監督式表徵分離學習之邊緣運算裝置低延遲樂曲中人聲轉換架構★ 基於序列至序列模型之 FMCW雷達估計人體姿勢
★ 基於多層次注意力機制之單目相機語意場景補全技術★ 應用於3GPP WCDMA-FDD上傳鏈路系統的遞迴最小平方波束合成犛耙式接收機
★ 調適性遠時程瑞雷衰退通道預測演算法設計與性能比較★ 智慧型天線之複合式到達方位-時間延遲估測演算法及Geo-location應用
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 由於非正交多重接取系統(NOMA)日益重要,本論文針對該系統在不同環境下進行效能分析,而此系統為多輸入多輸出系統,其中,假設接收端的基地台則有N根天線,而傳送端的2N位使用者則各只有一根發射天線。本論文主要利用兩種不同的波束成形矩陣來分析在完美與非完美通道訊息估測下的性能,分別為強制歸零波束技術(ZF)和最小均方誤差波束技術(MMSE)。本論文將先計算不同環境下訊號與干擾加雜訊比(SINR),接著再探討其效能。其中,完美的連續干擾消除(SIC)可實現在完美通道狀態訊息(CSI)的情況下,但若存在通道估測誤差則無法實現。而效能的探討將會以模擬圖進行比較,比較結果顯示,在上行NOMA系統中MMSE波束技術相對於ZF波束技術,在不完美的通道狀態資訊情況下可以提供較好的系統容量(Capacity)和錯誤率(BER)。
摘要(英) This paper analyzes the performance of Non-orthogonal multiple access (NOMA) in the presence of channel estimation error for an uplink Multiple Input Multiple Output (MIMO) system with N antennas at base station (BS) and one transmit antenna per 2N users. We investigate the performance of perfect and imperfect channel estimation by utilizing two different beamforming weight matrices methods, which are zero-forcing (ZF) and minimum mean square error (MMSE). In each situation, the calculation of capacity is derived from the signal to interference plus noise ratio (SINR), and then we examine the performance through those data. Furthermore, the perfect successive interference cancellation (SIC) can be utilized when the channel state information (CSI) is perfect, but it cannot be achieved in the presence of channel estimation error. By comparing the performance of simulation results, we notice that without perfect CSI, the MMSE beamforming is a better choice in the uplink NOMA system since MMSE offers better sum capacity and bit error rate.
關鍵字(中) ★ 非正交多重接取技術
★ 多輸入多輸出系統
★ 上行傳輸
★ 通道估測誤差
關鍵字(英)
論文目次 論文摘要 i
Abstract ii
致謝 iii
Contents iv
List of Figures vi
List of Tables vi
Chapter1. Introduction - 1 -
1-1 Multiple-Input Multiple-Output System - 1 -
1-2 Non-orthogonal Multiple Access system - 2 -
1-3 ZF and MMSE Beamforming - 3 -
1-4 Organization - 4 -
1-5 List of Abbreviations - 5 -
1-6 Notation - 6 -
Chapter2. System Model - 8 -
2-1 ZF Beamforming weight matrix and its Performance - 10 -
2-2 MMSE Beamforming weight matrix and its Performance - 14 -
Chapter3. NOMA System with Channel Estimation Error - 17 -
3-1 Estimated channel with ZF - 17 -
3-2 Estimated Channel with MMSE - 19 -
Chapter4. Simulation Results - 22 -
4-1 Simulation Model - 22 -
4-2 Simulation Results - 24 -
Chapter5. Conclusion - 27 -
Reference - 28 -
參考文獻 [1] S. Vashi, J. Ram, J. Modi, S. Verma and C. Prakash, “Internet of Things (IoT): A vision, architectural elements, and security issues,” 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, pp. 492-496, 2017.
[2] F. Rusek et al., “Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays,” IEEE Signal Processing Magazine, vol. 30, no. 1, pp. 40-60, Jan. 2013.
[3] E. G. Larsson, O. Edfors, F. Tufvesson and T. L. Marzetta, “Massive MIMO for next generation wireless systems,” IEEE Communications Magazine, vol. 52, no. 2, pp. 186-195, Fe. 2014.
[4] A. Goldsmith, S. A. Jafar, N. Jindal and S. Vishwanath, “Capacity limits of MIMO channels,” IEEE Journal on Selected Areas in Communications, vol. 21, no. 5, pp. 684-702, Jun. 2003.
[5] Z. Ding et al., “Application of Non-Orthogonal Multiple Access in LTE and 5G Networks,” IEEE Communications Magazine, vol. 55, no. 2, pp. 185-191, Feb. 2017.
[6] Y. Liu, G. Pan, H. Zhang and M. Song, “On the Capacity Comparison Between MIMO-NOMA and MIMO-OMA,” IEEE Access, vol. 4, pp. 2123-2129, 2016.
[7] K. Jiang, T. Jing, Y. Huo, F. Zhang and Z. Li, “SIC-Based Secrecy Performance in Uplink NOMA Multi-Eavesdropper Wiretap Channels,” IEEE Access, vol. 6, pp. 19664-19680, 2018.
[8] T. K. Lyu, “Capacity of multi-user MIMO systems with MMSE and ZF precoding,” 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), San Francisco, CA, pp. 1083-1084, 2016.
[9] Z. Ding, F. Adachi and H. V. Poor, “The Application of MIMO to Non-Orthogonal Multiple Access,” IEEE Transactions on Wireless Communications, vol. 15, no. 1, pp. 537-552, Jan. 2016.
[10] Z. Ding, R. Schober and H. V. Poor, “On the design of MIMO-NOMA downlink and uplink transmission,” 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, pp. 1-6, 2016.
[11] C. j. Chen and L. c. Wang, “Performance Analysis of Scheduling in Multiuser MIMO Systems with Zero-Forcing Receivers,” IEEE Journal on Selected Areas in Communications, vol. 25, no. 7, pp. 1435-1445, Sep. 2007.
[12] B. Kimy et al., “Non-orthogonal Multiple Access in a Downlink Multiuser Beamforming System,” MILCOM 2013 - 2013 IEEE Military Communications Conference, San Diego, CA, pp. 1278-1283, 2013.
[13] B. Kim et al., “Uplink NOMA with Multi-Antenna,” 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), Glasgow, pp. 1-5, 2015.
[14] S. Liu, C. Zhang and G. Lyu, “User selection and power schedule for downlink non-orthogonal multiple access (NOMA) system,” 2015 IEEE International Conference on Communication Workshop (ICCW), London, pp. 2561-2565, 2015.
[15] Y. Lan, A. Benjebboiu, X. Chen, A. Li and H. Jiang, “Considerations on downlink non-orthogonal multiple access (NOMA) combined with closed-loop SU-MIMO,” 2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS), Gold Coast, QLD, pp. 1-5, 2014.
[16] Y. Endo, Y. Kishiyama and K. Higuchi, “Uplink non-orthogonal access with MMSE-SIC in the presence of inter-cell interference,” 2012 International Symposium on Wireless Communication Systems (ISWCS), Paris, pp. 261-265, 2012.
[17] W. Liu, L. L. Yang and L. Hanzo, “SVD-Assisted Multiuser Transmitter and Multiuser Detector Design for MIMO Systems,” IEEE Transactions on Vehicular Technology, vol. 58, no. 2, pp. 1016-1021, Feb. 2009.
[18] T. Takeda and K. Higuchi, “Enhanced User Fairness Using Non-Orthogonal Access with SIC in Cellular Uplink,” 2011 IEEE Vehicular Technology Conference (VTC Fall), San Francisco, CA, pp. 1-5, 2011.
[19] D. Tse, P. Viswanath, “Fundamentals of Wireless Communication,” Cambridge University Press, 2005.
[20] P. Viswanath and D. N. C. Tse, “Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality,” IEEE Transactions on Information Theory, vol. 49, no. 8, pp. 1912-1921, Aug. 2003.
[21] C. Wang, E. K. S. Au, R. D. Murch, W. H. Mow, R. S. Cheng and V. Lau, “On the Performance of the MIMO Zero-Forcing Receiver in the Presence of Channel Estimation Error,” IEEE Transactions on Wireless Communications, vol. 6, no. 3, pp. 805-810, Mar. 2007.
[22] E. Eraslan, B. Daneshrad and C. Y. Lou, “Performance Indicator for MIMO MMSE Receivers in the Presence of Channel Estimation Error,” IEEE Wireless Communications Letters, vol. 2, no. 2, pp. 211-214, Apr. 2013.
[23] “E-UTRA Physical layer procedures,” 3GPP, TS 36.213 V8.1.0.
指導教授 陳永芳 審核日期 2018-8-21
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明