請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/76711
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 | Pin-Wen Su | en |
dc.contributor.author | 蘇品文 | zh_TW |
dc.date.accessioned | 2021-07-10T21:35:29Z | - |
dc.date.available | 2021-07-10T21:35:29Z | - |
dc.date.copyright | 2016-10-14 | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-08-05 | |
dc.identifier.citation | [1] J. G. Andrews, S. Buzzi, W. Choi, S. V. Hanly, A. Lozano, A. C. K. Soong, and J. C. Zhang, 'What will 5G be?' IEEE J. Select. Areas Commun., vol. 32, no. 6, pp. 1065-1082, June 2014.
[2] 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, Feb. 2014. [3] M. Sharif and B. Hassibi, 'On the capacity of MIMO broadcast channel with partial side information,' IEEE Trans. on Inf. Theory, vol. 51, no. 2, pp. 506-522, Feb. 2005. [4] D. Gesbert and M. S. Alouini, 'How much feedback is multi-user diversity really worth?' IEEE Int. Conf. on Commun., pp. 234-238, June 2004. [5] J.-H. Li and H.-J. Su, 'Opportunistic feedback reduction for multiuser MIMO broadcast channel with orthogonal beamforming,' IEEE Trans. on Wireless Communications, vol. 13, no. 3, pp. 1321-1333, Mar. 2014. [6] J. P. Kermoal, L. Schumacher, K. I. Pedersen, P. E. Mogensen, and F. Frederiksen, 'A stochastic MIMO radio channel model with experimental validation,' IEEE Journal on Selected Areas in Communications, vol. 20, no. 6, pp. 1211-1226, Aug. 2002. [7] D. Chizhik, J. Ling, P. W. Wolniansky, R. A. Valenzuela, N. Costa, and K. Huber, 'Multiple-input-multiple-output measurements and modeling in Manhattan,' IEEE Journal on Selected Areas in Communications, vol. 21, no. 3, pp. 321-331, Apr. 2003. [8] J. Poutanen, K. Haneda, J. Salmi, V. M. Kolmonen, F. Tufvesson, T. Hult, and P. Vainikainen, 'Signifi cance of common scatterers in multi-link indoor radio wave propagation,' in Proceedings of the Fourth European Conference on Antennas and Propagation, Apr. 2010, pp. 1-5. [9] 3rd Generation Partnership Project (3GPP), Study on 3D channel model for LTE, 2014, v12.2.0. [10] NIST Communications Technology Laboratory. (2014) Ultra-dense networks. [Online]. Available: www.nist.gov/ctl/wireless-networks/ultra-dense-nets.cfm [11] D. A. Gore, R. W. Heath, and A. J. Paulraj, 'Transmit selection in spatial multiplexing systems,' IEEE Commun. Lett., vol. 6, pp. 491-493, Nov. 2002. [12] R. K. Mallik, 'On multivariate Rayleigh and exponential distributions,' IEEE Transactions on Information Theory, vol. 49, no. 6, pp. 1499-1515, June 2003. [13] G. K. Karagiannidis, D. A. Zogas, and S. A. Kotsopoulos, 'On the multivariate Nakagami-m distribution with exponential correlation,' IEEE Transactions on Communications, vol. 51, no. 8, pp. 1240{1244, Aug. 2003. [14] W. H. Press, Numerical recipes 3rd edition: The art of scienti fic computing, 3rd ed. Cambridge University Press, 2007, ch. 10.2. [15] P.-J. Tseng, 'CSIT estimation and feedback reduction for FDD multi-user massive MIMO system,' Master's thesis, National Taiwan University. [16] Y. L. Tong, The multivariate normal distribution. Springer New York, 1990, ch. 6.1. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/76711 | - |
dc.description.abstract | 在多用戶多輸入多輸出的系統中,用戶將量測到的通道資訊回傳給基地台可幫助基地台排程欲服務的用戶、提高系統的傳輸效率。然而,在巨量天線系統中,當傳送天線數很多、或用戶很多時,龐大的回傳資訊量是其所須付出的代價。為了解決回傳通道資訊占用過多資源、影響系統傳輸效率等問題,用戶利用已知的閘值決定是否回傳通道資訊、進而降低整體回傳資訊量被視為一有效的解決方法。然而,當用戶之間的通道狀況具有高度相關性時,此方法便不再適用。在本篇論文中,結合正交波束系統,我們提出一種創新減少回傳資訊量的方法。於此方案下,用戶是否回傳通道資訊由一與通道狀況有關的機率函數決定。意即,當通道狀況佳時,用戶回傳通道資訊的機率較大;反之,則機率較小。
本篇論文主要可分成兩大部分。首先,針對用戶之間的通道不具相關性做探討,我們證明設定此函數為步階函數(即等效於閘值決定法)可使得在平均回饋量是相同的條件下,達到最高的系統傳輸速率。接著分析並模擬當用戶之間的通道具有相關性時,我們提出的方法會優於現有的策略。 | zh_TW |
dc.description.abstract | For the multiuser multiple-input multiple-output (MIMO) downlink channel, users feedback their channel state information to help base station schedule users and improve system sum rate. This incurs a large aggregate feedback bandwidth which grows linearly with the number of users. Feedback reduction by a given threshold has been viewed as a promising solution. However, the system sum rate performance becomes catastrophic when there is correlation among users' channels. In this thesis, a novel feedback load reduction strategy is proposed for scheduled downlink orthogonal beamforming system. In the proposed strategy, whether a user feedbacks its channel state information is governed not only by the user's channel condition but also by a probability function related to the channel condition. We first present a proof which shows that the threshold-based feedback strategy is still the optimal strategy when users are independent. Further, we compare the proposed strategy to the existing feedback reduction strategies in different scenarios with inter-user channel correlation. Simulation shows that the proposed strategy can achieve higher system sum rate than other feedback reduction methods. | en |
dc.description.provenance | Made available in DSpace on 2021-07-10T21:35:29Z (GMT). No. of bitstreams: 1 ntu-105-R03942053-1.pdf: 1027699 bytes, checksum: 9d2048128bf0f42926804bc3f078ebb3 (MD5) Previous issue date: 2016 | en |
dc.description.tableofcontents | 1 Introduction 1
1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Overview of Thesis . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Notations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2 System Model and Problem Formulation 4 2.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Problem Description . . . . . . . . . . . . . . . . . . . . . . . 6 2.3 The Feedback Reduction Strategy . . . . . . . . . . . . . . . . 7 2.3.1 The threshold-based Feedback Strategy . . . . . . . . . 7 2.3.2 The Proposed Probability-Function Feedback Strategy 8 3 System with Independent Channels 12 3.1 Sum Rate Analysis . . . . . . . . . . . . . . . . . . . . . . . . 12 3.2 Numerical Results . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.3 The Best Strategy for Independent Channels . . . . . . . . . . 16 4 System with Correlated Channels 19 4.1 A Proposition for Threshold-Based Feedback Strategy . . . . . 19 4.2 Inter-Correlation among Users . . . . . . . . . . . . . . . . . . 20 4.2.1 System Performance with Equally-correlated Channels 21 4.2.2 The design strategy in Equally-correlated Channels . . 24 4.2.3 System Performance with Regressively-correlated Channels . . . .. . 27 4.2.4 Comparison with Order Statistics of Equally-Correlated Channels . . . .. 30 5 Conclusion 34 Bibliography 35 A Feedback Constraint 38 B Downlink Sum Rate 41 | |
dc.language.iso | zh-TW | |
dc.title | 多用戶多輸入多輸出系統減少通道資訊回饋之技術 | zh_TW |
dc.title | Feedback Reduction for MIMO System with Inter-User Channel Correlation | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 蘇柏青(Bor-Ching Su),王奕翔(I-Hsiang Wang) | |
dc.subject.keyword | 通道資訊回饋,減少回饋,多用戶多輸入多輸出,巨量天線,波束成型,排程, | zh_TW |
dc.subject.keyword | CSI feedback,Feedback reduction,Multi-user MIMO,Massive MIMO,Beamforming,Scheduling, | en |
dc.relation.page | 43 | |
dc.identifier.doi | 10.6342/NTU201601867 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2016-08-08 | |
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 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-105-R03942053-1.pdf 目前未授權公開取用 | 1 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。