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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 | Wei-Hsiang Wang | en |
dc.contributor.author | 汪煒翔 | zh_TW |
dc.date.accessioned | 2021-06-16T09:21:08Z | - |
dc.date.available | 2020-02-17 | |
dc.date.copyright | 2017-07-07 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-06-30 | |
dc.identifier.citation | [1] T. Yoo and A. Goldsmith, “On the optimality of multiantanna broad-
cast scheduling using zero-forcing beamforming,' IEEE J. Select. Areas Commun., vol. 24, no. 3, pp. 528-541, Mar 2006. [2] 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. [3] D. Gesbert and M. S. Alouini, “How much feedback is multi-user diver- sity really worth?' IEEE Int. Conf. on Commun., pp. 234-238, June 2004. [4] T. Yoo, N. Jindal, and A. Goldsmith, “Multi-antenna downlink chan- nels with limited feedback and user selection,' IEEE J. Select. Areas Commun., vol. 25, no. 7, pp. 1478-1491, Sept 2007. [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] D. Park, H. Seo, H. Kwon, and B. G. Lee, “Wireless Packet Scheduling Based on the Cumulative Distribution Function of User Transmission Rates,' IEEE Trans. on Communications, vol. 53, no. 11, pp. 1919-1929, Nov 2005. [7] Y.-Y. Chang, W.-S. Liao, and H.-J. Su, “Channel Feedback Reduction for Wireless Multimedia Broadcast Multicast Service Systems,' IEEE Int. Conf. on Commun., pp. 4443-4447, Jun 2015. [8] D. A. Gore, R. W. Heath, and A. J. Paulraj, “Transmit selection in spatial multiplexing systems,' IEEE Commun. Lett., vol. 6, no. 11, pp. 491-493, Nov. 2002. [9] H. Inaltekin, M. Chiang, H. V. Poor, and S. B. Wicker, “On Unbounded Path-Loss Models: Effects of Singularity on Wireless Network Perfor- mance,' IEEE J. Select. Areas Commun., vol. 27, no. 7, pp. 1078-1092, Sept 2009. [10] M. Min, H.-M. Kim, and G.-H. Im, “On the Performance Analysis of MISO Broadcast Channels with Spatial Heterogeneity,' IEEE Commun. Lett., vol. 17, no. 4, pp. 665-668, April 2013. [11] D. Gesbert and M. Kountouris, “Resource allocation in multicell wireless networks: Some capacity scaling laws,' RAWNET, 2007. [12] M. Lugo, “Stat 134 fall 2011: The expectation of the maximum of ex- ponentials,' Oct 2011, lecture Note. [13] K.-H. Park, Y.-C. Ko, and M.-S. Alouini, “Accurate approximations and asymptotic results for the sum-rate of random beamforming for multi- antenna Gaussian broadcast channels,' VTC, pp. 1-6, Apr 2009. [14] L. Yang, M. Kang, and M.-S. Alouini, “On the capacity-fairness tradeoff in multiuser diversity systems,' IEEE Trans. on Vehicular Technology, vol. 53, no. 4, pp. 1901-1907, July 2007. [15] N. Sharma and L. H. Ozarow, “A Study of Opportunism for Multiple- Antenna Systems,' T-IT, vol. 51, no. 4, pp. 1804-1814, May 2005. [16] T. P. Dence, “A Brief Look into the Lambert W Function,' Applied Mathematics, vol. 4, no. 6, pp. 887-892, Mar 2013. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59348 | - |
dc.description.abstract | 在多用戶多輸入多輸出下行廣播系統中,基地台利用多天線系統提供的空間多工增益以空間多重存取技術來同時服務數個使用者,進而提升系統效能。透過使用者回傳各自的通道資訊給基地台進行有效排程,如最大傳輸率排程,能夠大量提升傳輸效率,然而在使用者數量龐大時,其所付出之代價為頻寬使用之負荷。因此有許多文獻透過設計閾值來減少通道數量回饋進而改善回傳數量龐大之負擔。然而這些文獻皆只在均質網路中進行探討且缺乏閉合解,因此本篇論文提出一個實際且通用的模型以考慮使用者在網路中的空間異質性。
在此模型且利用最大傳輸率排程以服務使用者下,我們推導了傳輸率的極限行為,其結果與均質網路相同。且在傳輸功率夠大時,我們推導了閉合解,其也適用於均質網路。然而利用最大傳輸率排程將造成嚴重的公平性問題,對於平均通道狀況較好的使用者將有較高的機率被服務,我們利用累積分佈函數排程之技術來達成使用者間的使用公平且有效的降低回傳數量,利用累積分佈函數排程,我們也求得系統效能之閉合解。最後,我們考慮了多媒體廣播多播業務,其為上述問題之對偶問題,透過排程最差通道之使用者進而達成可靠傳輸,我們將上述提出之模型用以該系統下,同時也在傳輸功率夠大時,推導了閉合解,其也適合於均質網路。 | zh_TW |
dc.description.abstract | In multiuser multiple-input multiple-output (MU-MIMO) downlink broad-cast channel, several users can be simultaneously served through space division multiple access (SDMA), which exploits the multiplexing gain of MIMO system. To improve the system sum rate, users feedback their channel state information (CSI) to help the base station (BS) to schedule those with the best channel conditions. This incurs a large aggregate feedback bandwidth growing linearly with the number of users. There are already several studies investigating the threshold-based feedback schemes to reduce the amount of feedback. However, they are limited to the homogeneous cases. In this thesis, we develop the realistic and general model for the MU-MIMO opportunistic feedback scheme, where users are uniformly distributed in the cell. With this model, we analyze the sum rate growth as the number of users is in nite and extend the feedback reduction method to the heterogeneous network considering the fairness problem with CDF scheduling. It provides the fair channel access time fraction and tractable analysis. For homogeneous network, the closed form expression of sum rate/rate loss(due to the outage event, i.e. no one feedback CSI), with nite users is obtained. Also, we analyze the dual problem, MU-MIMO opportunistic feedback scheme in multicast channel with the proposed model, and the closed form expression of homogeneous case is also derived. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T09:21:08Z (GMT). No. of bitstreams: 1 ntu-106-R04942059-1.pdf: 789591 bytes, checksum: 389d917427af39b4d6bbde85e36d70e8 (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 1 Introduction 1
1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Overview of Thesis . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3 Notations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2 System Model and Problem Formulation 5 2.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2 Threshold-based feedback technique . . . . . . . . . . . . . . . 7 2.3 Problem Description . . . . . . . . . . . . . . . . . . . . . . . 9 3 Performance Analysis of the Reduction Scheme 14 3.1 Sum Rate Analysis . . . . . . . . . . . . . . . . . . . . . . . . 14 3.1.1 Discussions on fading distribution . . . . . . . . . . . . 17 3.2 Degenerate Case: Homogeneous Network . . . . . . . . . . . . 19 3.2.1 The Number of Receive Antenna is One . . . . . . . . 20 3.2.2 Equal Number of Antennas . . . . . . . . . . . . . . . 22 3.2.3 Numerical Results . . . . . . . . . . . . . . . . . . . . 24 4 Scheduling for Fairness with Feedback Reduction in Hetero- geneous Network 28 4.1 Feedback Scheme with CDF-Scheduling . . . . . . . . . . . . . 30 4.2 Performance Analysis of CDF-Scheduling . . . . . . . . . . . . 31 4.3 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . 34 4.4 Discussions on Reduction Scheme with SNR-based Propor- tional Fairness . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 5 Feedback Reduction for Multimedia Broadcast Multicast Ser- vice Systems 40 5.1 Performance Analysis . . . . . . . . . . . . . . . . . . . . . . . 42 5.2 Closed Form Expressions of Homogeneous network . . . . . . 44 5.2.1 Numerical Result . . . . . . . . . . . . . . . . . . . . . 46 6 Conclusion 48 Bibliography 49 A SINR/SNR PDF with BPM 52 B Sum Rate Scaling 54 C Closed Form Expression for Homogeneous network 58 | |
dc.language.iso | en | |
dc.title | 空間異質之多天線系統減少通道資訊回饋之效能分析 | zh_TW |
dc.title | Performance Analysis of Feedback Reduction in
MIMO System with Spatial Heterogeneity | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 馮世邁(See-May Phoong),王奕翔(I-Hsiang Wang) | |
dc.subject.keyword | 空間多重存取,通道數量回饋,多用戶多輸入多輸出,空間異質性,均質網路,累積分佈函數排程,多媒體廣播多播業務, | zh_TW |
dc.subject.keyword | SDMA,Feedback reduction,MU-MIMO,Multicast, | en |
dc.relation.page | 60 | |
dc.identifier.doi | 10.6342/NTU201701165 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-06-30 | |
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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