下行服務品質排程在多天線傳輸環境下的效能評估

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姓名

張淵皓(Yuan-Hao Chang) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

下行服務品質排程在多天線傳輸環境下的效能評估
(Context based MIMO Mode Evaluation for QoS Downlink Scheduling)

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摘要(中)

本篇論文旨在於調查MU-MIMO架構在通訊系統中的特性及效能分析，我們考量了細胞覆蓋範圍內的主動使用者數量，使用者移動速度及傳輸環境的信噪比。MU-MIMO是下一代多天線架構的熱門議題，相比起SU-MIMO能夠更加的提高空間利用率，多用戶增益及高信噪比環境高吞吐量，而且在硬體設置上因其通道容量不受限於使用者端的天線數，因此使用者端節省設計成本及傳輸耗電量，在基地台天線架構上比起SU-MIMO更適合使用窄間距天線或天線陣列，這是受設備廠商所歡迎的。可惜MU-MIMO並非全能的解決方案，傳輸的優勢伴隨著相應的缺點，空間利用率的提升代表在空間複用上要更加費心地去處理信號相互干擾的問題，多用戶增益提升表示其不適於傳輸在分布使用者量少的環境，在高信噪比環境取得高吞吐量則表示其不適於傳輸在低信噪比環境中，再加上由於多波束成型的使用要求對通道條件的預估需更加準確，造成了MU-MIMO在高通道移動性環境下高度的吞吐量衰減，所幸發展已久的SU-MIMO在特性及傳輸優勢上與MU-MIMO呈現互補關係，SU/MU-MIMO切換系統架構在本篇中即為敘述重點。在下行傳輸排程系統架構中我們考量了服務品質的封包預排，吞吐量的預測，傳輸模式的切換及傳輸效能的優化。在實驗部分我們使用了LTE傳輸標準，針對各種不同的傳輸模式分析其效能及最合適的傳輸環境，展現了不同模式的傳輸環境優勢點作為切換點，之後再設置了LTE-A天線架構的傳輸環境並進行效能分析及評比，效能分析圖證實了不同傳輸模式的環境優勢點，基於環境參數的切換對效能影響是直接而有力的。

摘要(英)

The paper investigates the feature and performance evaluation of transmission system based on MU-MIMO strategy. We consider number of active users in coverage area, user mobility and environments SNR. MU-MIMO gained numerous attention of researchers because of the spatial efficiency, multi user diversity gain and fit to transmit in good SNR environments. Moreover, it allows the spatial multiplexing gain at the BS to be obtained without the need for multiple antenna terminals, while power saving and cost is kept on the infrastructure side. In BS antenna configuration, widely spaced antennas reduce the spatial correlation and usually result in good SU-MIMO performance but MU-MIMO is found to perform particularly well in highly correlated antenna setups, which is a promising candidate for practical deployment. Unfortunately, MU-MIMO is not an almighty solution. Spatial efficiency accompanies more processing in interuser interference problem. Multi user diversity gain represents the performance degradation with a decreasing number of users and it will not performs good in low SNR environments. Furthermore, multibeam beamforming demand more accurate CSI, it cause high decadence in high channel speed. We propose a downlink transmission scheduling structure considering QoS scheduling, grouping performance prediction, MIMO mode switching and grouping optimization. In our simulation, we followed LTE SPEC to evaluate the performance and superior environments of different transmission mode and demonstrate appropriate transmission mode switching point. Furthermore, we set up LTE-A antenna configurations and showing the switching mechanism in throughput performance affect is direct and powerful.

關鍵字(中)

★ 下行排程
★ 多天線系統
★ 服務品質
★ 吞吐量優化

關鍵字(英)

★ Downlink Scheduling
★ MIMO
★ QoS
★ Throughput Optimization

論文目次

口試委員會審定書 #
誌謝 i
中文摘要 vi
ABSTRACT vii
CONTENTS viii
LIST OF FIGURES x
LIST OF TABLES xii
Chapter 1 緒論 1
1.1 研究動機及導讀 2
1.2 背景知識 3
1.2.1 封包排程介紹 3
1.2.2 Multi-input Multi-output(MIMO)天線架構介紹 6
1.3 論文架構 7
Chapter 2 相關研究 8
2.1 Queuing及QoS考量 8
2.2 Grouping 效能預測 11
2.3 MIMO mode切換 12
2.4 Grouping效能優化 15
Chapter 3 系統分析與功能架構 17
3.1 SU/MU-MIMO切換架構設計觀點 18
3.2 SU-MIMO及MU-MIMO傳輸特性 19
3.2.1 SU-MIMO 19
3.2.2 MU-MIMO 21
3.2.3 效能優勢與比較 22
3.3 SU/MU-MIMO Mode動態切換 23
3.3.1 覆蓋範圍內使用者數量所帶來的影響 24
3.3.2 SNR對SU及MU-MIMO的效能影響 27
3.3.3 UE的高速移動所帶來的效能影響 29
Chapter 4 實驗與模擬 30
4.1 實驗模組介紹 30
4.2 模擬環境 34
4.3 多天線傳輸模式效能評比 36
4.4 多天線架構及MMSE通道預估分析 43
Chapter 5 結論 53
5.1 架構解析及優點統整 53
5.2 未來展望 54
REFERENCE 55

參考文獻

REFERENCE
[1] C. So-In, R. Jain, and A. Al-Tamimi, “Scheduling in IEEE 802.16e Mobile WiMAX Networks: Key Issues and a Survey,” in IEEE Journal on Selected Areas in Comm., vol. 27, no. 2, pp. 156-171, Feb. 2009
[2] A. Sayenko, O. Alanen, J. Karhula, and T. Hamaainen, “Ensuring the QoS Requirements in 802.16 Scheduling,” in Proc. Int. Workshop Modeling Analysis and Simulation Wireless and Mobile Systems., Terromolinos, Spain, 2006, pp. 108-117.
[3] H. Zhang, N. Prasad, and S. Rangarajan, “MIMO downlink scheduling in LTE systems,” in Proc. 2012 IEEE INFOCOM, pp. 2936–2940.
[4] Capozzi F, Piro G, Grieco LA, Boggia G, Camarda P “Downlink packet scheduling in lte cellular networks: Key design issues and a survey,” IEEE Commun. Surv. Tuts (Early Access Articles 2012)
[5] Y. Zaki, T. Weerawardane, C. Gorg, and A. Timm-Giel, “Multi-QoSAware Fair Scheduling for LTE,” in Proc. IEEE Veh. Tech. Conf., VTCSpring, May 2011, pp. 1 –5.
[6] A. Esmailpour and N. Nasser, “A Novel Scheme for Packet Scheduling and Bandwidth Allocation in WiMAX Networks,” IEEE International Conference on Communication (ICC), pp. 1-6, 2011.
[7] H. Ramli, R. Basukala, K. Sandrasegaran, and R. Patachaianand, “Performance of well known packet scheduling algorithms in the downlink 3GPP LTE system,” in Proc. IEEE Malaysia International Conf. on Comm., MICC, Kuala Lumpur, Malaysia, 2009, pp. 815 –820.
[8] S. Nonchev, M. Valkama, R. Hamila, “Advanced packet scheduling for efficient video support with limited channel feedback on MIMO LTE downlink” GLOBECOM Workshops (GC Wkshps), pp. 766 – 771, Dec. 2011.
[9] Ali NA, Dhrona P, Hassanein H. “A performance study of uplink scheduling algorithms in point-to-multipoint WiMAX networks” Computer Communications Volume 32, Issue 3, 25 February 2009, Pages 511–521
[10] T. Tandai, H. Mori, and M. Takagi, “Cross-layer-optimized user grouping strategy in downlink multiuser mimo systems,” in Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th, april 2009, pp. 1 –6.
[11] N. Wei, A. Pokhariyal, T. B. Sorensen, T. E. Kolding, and P. E. Mogensen, “Performance of MIMO with Frequency Domain Packet Scheduling in UTRAN LTE Downlink,” in Proceedings of the IEEE Vehicular Technology Conference (VTC’S07), April 2007.
[12] Meng Wang, Feng Li, Evans, J.S. and Dey, S. “Dynamic Multi-User MIMO scheduling with limited feedback in LTE-Advanced” Personal Indoor and Mobile Radio Communications (PIMRC), 9-12 Sept. 2012
[13] K. Kusume, K. Khashaba, G. Dietl, and W. Utschick, “Hybrid single/multi-user MIMO transmission based on implicit channel feedback,”in Proc. IEEE International Conference on Communications (ICC’11), June 2011.
[14] T. Maciel and A. Klein, “On the performance, complexity, and fairness of suboptimal resource allocation for multi-user MIMO-OFDMA systems,” IEEE Transactions on Vehicular Technology, vol. 59, no. 1, pp. 406–419, jan. 2010.
[15] M.U. Sheikh, R. Jagusz, J. Lempiäinen, Performance evaluation of adaptive MIMO switching in long term evolution, in: IEEE 7th International Wireless Communication and Mobile Computing Conference, IWCMC’11, Istanbul, Turkey, July 2011, pp. 866–870.
[16] D. Gesbert, M. Kountouris, R. Heath, C.-B. Chae, and T. Salzer,“Shifting the MIMO paradigm,” IEEE Signal Processing Mag., Vol.24, No. 5, pp. 36-46, Sept. 2007.
[17] Q Li, G Li, W Lee, MI Lee, D Mazzarese, B Clerckx, Z Li, MIMO techniques in WiMAX and LTE: a feature overview. IEEE Communications Magazine 48(5), 86–92 (2010)
[18] L. Liu et al., “Downlink MIMO in LTE-Advanced: SUMIMO vs. MU-MIMO,” IEEE Commun. Mag., vol. 50, no. 2, Feb. 2012, pp. 140–47.
[19] Thapa, A. ,Seokjoo Shin: “A MAC protocol to select optimal transmission mode in very high throughput WLAN: MU-MIMO vs. multiple SU-MIMO” Internet (AH-ICI), 2012 Third Asian Himalayas International Conference
[20] C. Mehlführer, J. Colom Ikuno, M. Simko, S. Schwarz, M. Wrulich, M. Rupp: “The Vienna LTE Simulators - Enabling Reproducibility in Wireless Communications Research” EURASIP Journal on Advances in Signal Processing, Vol. 2011 (2011), 1 - 13.
[21] S. Schwarz, R. W. Heath, M. Rupp: “Multiuser MIMO in Distributed Antenna Systems with Limited Feedback”; IEEE Global Communications Conference (GLOBECOM 2012), Anaheim, California, USA;
[22] C. Mehlführer, M. Wrulich, J. C. Ikuno, D. Bosanska and M. Rupp, "Simulating the Long Term Evolution Physical Layer," in Proc. of the 17th European Signal Processing Conference (EUSIPCO 2009), Aug. 2009, Glasgow, Scotland. [Online].Available: http://publik.tuwien.ac.at/files/PubDat_175708.pdf
[23] C. Mehlführer, M. Wrulich, J. C. Ikuno, M. Simko, S. Schwarz and M. Rupp, "The Vienna {LTE} Simulators - Enabling Reproducibility in Wireless Communications Research," in EURASIP Journal on Advances in Signal Processing, Vol. 2011. [Online]. Available: http://publik.tuwien.ac.at/files/PubDat_199104.pdf

指導教授

黃志煒(Chih-Wei Huang)

審核日期

2013-8-29

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