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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蘇炫榮(Hsuan-Jung Su) | |
| dc.contributor.author | Yu-Yun Chang | en |
| dc.contributor.author | 張又允 | zh_TW |
| dc.date.accessioned | 2021-06-16T06:58:45Z | - |
| dc.date.available | 2016-07-29 | |
| dc.date.copyright | 2014-07-29 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2014-07-17 | |
| dc.identifier.citation | [1] Multimedia Broadcast/Multicast Service (MBMS); Stage 1 (Release 11). 3GPP TS 22.146 Version 11.1.0, May 2013.
[2] The Draft IEEE 802.16m System Description Document. October 2008. Available: http://wirelessman.org/tgm/docs/80216m-08_003r7.zip. [3] M. H. M. Costa. Writing on dirty paper. IEEE Trans. Inf. Theory, IT-29(3):439–441, May 1983. [4] W. Yu and J. Cioffi. Sum capacity of gaussian vector broadcast channels. IEEE Trans. Inf. Theory, 50(9):1875–1892, September 2004. [5] T. Yoo and A. Goldsmith. On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. IEEE J. Sel. Areas Commun., 24(3):528–541, March 2006. [6] T. Yoo, N. Jindal, and A. Goldsmith. Multi-antenna downlink channels with limited feedback and user selection. IEEE J. Sel. Areas Commun., 25(7):1478–1491, September 2007. [7] N. Jindal. Mimo broadcast channels with finite-rate feedback. IEEE Trans. Inf. Theory, 52(11):5045–5060, November 2006. [8] M. Sharif and B. Hassibi. On the capacity of MIMO broadcast channel with partial side information. IEEE Trans. Inf. Theory, 51(2):506–522, February 2005. [9] M. Pugh and B. D. Rao. Reduced feedback schemes using random beamforming in MIMO broadcast channels. IEEE Trans. Signal Process., 58(3):1821–1832, March 2010. [10] D. Gesbert and M. S. Alouini. How much feedback is multi-user diversity really worth? In IEEE Int. Conf. on Commun.(ICC), volume 1, pages 234–238, Paris, France, June 20-24 2004. [11] J.-H. Li and H.-J. Su. Opportunistic feedback reduction for multiuser MIMO broadcast channel with orthogonal beamforming. IEEE Trans. Wireless Commun., 13(3):1321–1333, March 2014. [12] Y. Cai, S. Lu, C. Wang, P. Skov, Z. He, and K. Niu. Reduced feedback scheme for LTE MBMS. pages 1–5, Barcelona, Spain, April 26-29 2009. [13] A. J. Goldsmith and S.-G. Chua. Varable-rate variable-power MQAM for fading channels. IEEE Trans. Commun., 45(10):1218–1230, October 1997. [14] H.-J. Su. On adaptive threshold adjustment with error rate constraints for adaptive modulation and coding systems with hybrid ARQ. In Proc. IEEE International Conference on Information, Communications and Signal Processing (ICICS), pages 786–790, Bangkok, Thailand, December 6-9 2005. [15] H.-J. Su and T.-N. Lin. Adaptive throughput maximization for adaptive modulation and coding systems. In Proc. Asis-Pacific Conference on Communications (APCC), pages 406–410, Perth, Australia, October 5-5 2005. [16] H.-J. Su and L.-W. Fang. A simple adaptive throughput maximization algorithm for adaptive modulation and coding systems with hybrid ARQ. In Proc. International Symposium on Communications, Control, and Signal Processing (ISCCSP), Marrakech, Morocco, March 13-15 2006. [17] W.-S.LiaoandH.-J.Su.Throughput maximization by adaptive threshold adjustment for AMC systems. In Proc. Asia-Pacific Signal and Informaiton Processing Association Annual Summit and Conference (APSIPA ASC), Xi’an, China, October 18-21 2011. [18] J. F. Monserrat, J. Calabuig, A. Fernández-Aguilella, and D. Gómez-Barquero. Joint delivery of unicast and E-MBMS services in LTE networks. IEEE Trans. Broadcast., 58(2):157–167, June 2012. [19] R. Radhakrishnan, B. Tirouvengadam, and A. Nayak. Channel quality-based AMC and smart scheduling scheme for SVC video transmission in LTE. In Proc. IEEE International Conference on Communications (ICC), pages 6514–6518, Ottawa, Canada, June 10-15 2012. [20] J.-H. Li and H.-J. Su. Feedback reduction for MIMO broadcast channel with het- erogeneous fading. In IEEE Symposium on Computers and Communications (ISCC), pages 573–578, Kerkyra (Corfu), Greece, June 28-July 1 2011. [21] C. Kim, K. Ko, S. Jung, and J. Lee. On the SINR distribution for an orthogonal random beamforming system and its performance. In Vehicular Technology Conference (VTC 2010-Spring), pages 1 – 5, 2010. [22] A. Papoulis and S. U. Pillai. Probability, Random Variables, and Stochastic Processes. McGraw-Hill, 4th edition, 2002. [23] T. M. Cover and J. A. Thomas. Elements of Information Theory. Wiley, 2nd edition, 2006. [24] S. Ghahramani. Fundamentals of Probability with Stochastic Processes. Prentice- Hall, 3rd edition, 2005. [25] S.M. Ross. Stochastic Processes. Wiley, 2nd edition, 1995. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/57700 | - |
| dc.description.abstract | 隨著對於無線的群播與廣播服務需求的增加，MBMS (Multimedia Broadcast Multicast Services) 為此類傳輸提供了更有效率的方式，在LTE (Long-Term Evolution) 標準中亦使用MBMS作為群播與廣播服務的協定。對於群播與廣播的傳輸，因為系統希望能盡可能地服務訂閱相同服務的用戶，理論上每個用戶需要回傳其完美通道狀態資訊 (CSI, Channel-State Information) 或其他資訊，以便讓基地台能夠選擇傳輸時最適當的調變與編碼方式 (MCS, Modulation and Coding Scheme) 而能盡可能地提高傳輸速率與吞吐量 (throughput)。
然而，隨著同一群的用戶數增加，此要求用戶回傳的回饋量同時地產生線性增加的負荷。但在MBMS的特性下，即系統希望能盡可能的服務訂閱相同服務的用戶，許多的回饋量並不會影響到系統效能，但卻顯著地浪費了許多回傳所需的功率與頻寬。在同一群中通道狀況較好的用戶，相對於通道狀況較差的用戶較不容易影響到整個系統的參數決定與效能。在這篇論文中，我們探討了在同一群用戶中，根據猜測自身排名的方式決定需不需要回傳通道狀態資訊給基地台。對用戶而言，若猜測自身排名較低則回傳，較高則不予回傳，進而達到回饋量縮減的目的。在實作上，我們先根據通道統計特性制定出一系列的門檻值 (threshold)，並根據特定的準則，挑選出一個門檻值作為用戶決定是否回傳的標準。從模擬結果顯示，我們所提出的架構的確能有效減低回饋量，並能達到接近於常數的回饋量。 另一方面，我們也探討了實際群播與廣播服務系統上的吞吐量最大化。首先，我們從單一用戶的角度出發，探討了若要達成吞吐量最大化所應該滿足的條件，且根據此一條件提出相對應的吞吐量最大化之適應性演算法，並更進一步將此演算法放入MBMS的架構中。從模擬結果顯示，我們所提出的適應性演算法相較於傳統架構的確能有效地提升吞吐量。 | zh_TW |
| dc.description.abstract | As the increasing demand of wireless multimedia services, the multimedia broadcast multicast service (MBMS) is an emerging technology which is adopted in various wireless communication standards to enhance multimedia data transmission. In order to provide best-effort service, all users in an MBMS system need to feed back its current channel condition to the eNodeB, so that the eNodeB can choose a proper modulation and coding scheme (MCS) for transmission. Clearly, the feadback load will increase linearly as the number of users in the MBMS system increases. As a result, the spectrum efficiency is degraded because of the accordingly increased feedback bandwidth. In this thesis, we propose a threshold-based feedback scheme based on the order statistics of users in the system. From the simulation results, a nearly constant feedback load is achieved when the proposed scheme is used, and the performance approaches the conventional feedback scheme.
Besides, in an MBMS system, all users subscribing the specific service receive multimedia data via the broadcasting channel, which makes the link adaptation (LA) for the system more difficult. In this thesis, we propose an adaptive threshold-adjustment algorithm in order to maximize the MBMS system throughput. This algorithm enhances the performance of the adaptive modulation and coding (AMC) according to the instaneous channel condition. Moreover, this low-complexity algorithm is easy to implement on the user side. From the simulation results, we show that the proposed method can effectively improve the MBMS system performance. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T06:58:45Z (GMT). No. of bitstreams: 1 ntu-103-R01942029-1.pdf: 11027002 bytes, checksum: 6684a4780be4d1fcea1035aa428ca3aa (MD5) Previous issue date: 2014 | en |
| dc.description.tableofcontents | 1 Introduction 1
1.1 Brief History of MBMS ........................... 1 1.2 Feedback Reduction ............................. 2 1.3 Adaptive Modulation and Coding Scheme ................. 5 1.4 Outline of the Thesis ............................ 6 2 System Model 8 2.1 Basic System Assumptions ......................... 8 2.2 Signal Processing Assumptions ....................... 10 2.3 AMC on User Side ............................. 12 2.4 AMC on eNodeB Side ........................... 13 3 Feedback Reduction 16 3.1 Threshold-Based Feedback Scheme .................... 16 3.2 Rate-Loss Analysis ............................. 23 3.3 Feedback-Load Analysis .......................... 28 3.4 Proposed Feedback-Reduction Scheme ................... 31 3.5 Feedback Reduction for Heterogeneous Fading Channels ................... 31 3.5.1 System Model ........................... 32 3.5.2 Proposed Feedback-Reduction scheme ........................... 33 3.5.3 Rate-lossAnalysis ......................... 34 3.5.4 Feedback-Load Analysis ...................... 35 3.6 Simulation Results for CSI Feedback Reduction ................... 35 4 Throughput Maximization 40 4.1 Motivation .................................. 42 4.2 Problem Formulation ............................ 42 4.3 Threshold-Adjustment Algorithm ..................... 44 4.4 Simplified Adaptive Algorithm for MBMS Systems ................... 47 4.5 Simulation Results ............................. 49 5 Conclusions and Future Work 53 5.1 Feedback Reduction ............................. 53 5.2 Throughput Maximization ......................... 54 Bibliography 55 | |
| dc.language.iso | en | |
| dc.subject | 鏈結適應技術 | zh_TW |
| dc.subject | 調變與編碼方式 | zh_TW |
| dc.subject | 速率最大化 | zh_TW |
| dc.subject | 回饋量縮減 | zh_TW |
| dc.subject | 多媒體群播廣播服務 | zh_TW |
| dc.subject | 吞吐量最大化 | zh_TW |
| dc.subject | throughput maximization | en |
| dc.subject | feedback reduction | en |
| dc.subject | rate maximization | en |
| dc.subject | link adaptation (LA) | en |
| dc.subject | adaptive modulation and coding (AMC) | en |
| dc.subject | Multimedia broadcast multicast service (MBMS) | en |
| dc.title | 多媒體群播廣播服務下回饋量縮減與吞吐量最大化 | zh_TW |
| dc.title | Feedback Reduction and Throughput Maximization for MBMS Systems | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 102-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 林士駿(Shih-Chun Lin),蘇柏青(Borching Su) | |
| dc.subject.keyword | 多媒體群播廣播服務,回饋量縮減,速率最大化,鏈結適應技術,調變與編碼方式,吞吐量最大化, | zh_TW |
| dc.subject.keyword | Multimedia broadcast multicast service (MBMS),feedback reduction,rate maximization,link adaptation (LA),adaptive modulation and coding (AMC),throughput maximization, | en |
| dc.relation.page | 57 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2014-07-17 | |
| 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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