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研究生:溫光明
研究生(外文):Kuang-Ming Wen
論文名稱:適用多用戶多輸出輸入系統之低複雜度比例公平性排程設計
論文名稱(外文):Low Complexity User Grouping for Proportional Fair Multi-User MIMO Scheduling
指導教授:黃志煒
指導教授(外文):Chih-Wei Huang
學位類別:碩士
校院名稱:國立中央大學
系所名稱:通訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:中文
論文頁數:64
中文關鍵詞:公平性、行動寬頻網路、多用戶多輸出輸入天線公平性行動寬頻網路
外文關鍵詞:Fairnessmobile broadband networkmulti-user MIMO
相關次數:
  • 被引用被引用:0
  • 點閱點閱:171
  • 評分評分:
  • 下載下載:11
  • 收藏至我的研究室書目清單書目收藏:0
隨著多媒體應用與技術的發展行動寬頻網路對於頻寬的需求也越
來越高,致使要求相當高的頻譜資源利用效率,在弴彇網路中高速率
上弯下行傳輸已是基本的要求之一。空間分集多工接取技術已被視為
是下一個增加頻譜使用效率的方法之一,多用戶多輸出輸入天線技術
即為空間分集多工接取的實際應用方式之一。
在本文中,我們提出了在單一個基地台弨彳彩彮彧彬彥弭彣彥彬彬弩中考慮到通道
狀況與資源使用公平性,選取數個使用者弨录彅彳弩服務時能使系統整體
有著近似最佳傳輸效能 的多用戶多輸出輸入天線技術的排程方法
現今考慮到通道狀況與公平性的方法的討論限制服務群組內的使
用者為兩位,並在已知通道狀況與前置編碼時先依照單用戶多輸出輸
入天線技術選擇一位使用者作為服務群組的第一位使用者,第二位使
用者選擇將基於第一位使用者。本篇論文沒有限制服務群組內的使用
者數量,此外還提出依照使用者回報的通道狀況與前置編碼方式簡化
服務群組選擇的演算法,前置編碼的討論也包括長期演進技術中定義
的編碼簿方式與迫零預編碼兩種。最後,數值模擬比較了本篇與其他
文獻的方法、包括效能與公平性兩方面。
With the development of multimedia applications and mobile broadband technology network, bandwidth demand is much more higher than before, it causes frequency efficiency higher and higher.
Actually, high-speed downlink/uplink transmission in 4G wireless system has been one of basic requirement.
Spatial-Division Multiple Access(SDMA) is one of the solutions to improve frequency efficiency; Multi-User Multi-Input Multi-Output(MU-MIMO) is one the application of SDMA.

In the paper, we proposed a single-cell scheduling considering both channel quality and fairness that improve the performance and fairness when scheduler selects UE pair.
Existing paper which discuss about proportional fair MU-MIMO is only about two UE pair. For proposed algorithm in this paper, there is no limitation of the UE number in pair, besides we further discuss about LTE codebook and ZF precoding and give some comparison in simulation result.
中文摘要...i
英文摘要...ii
謝誌...iii
目錄...iv
圖目錄...vi
表目錄...viii
一、序論...1
1.1前言...1
1.2研究動機...2
1.3論文架構...3
二、相關研究背景...4
2.1MIMO系統...4
2.2MU-MIMO系統...8
2.3現有的PF排程機制...10
三、系統架構...12
3.1系統模型描述...12
3.2SU-MIMO系統模型...13
3.3MU-MIMO系統模型...15
3.4預編碼方法...17
3.4.1LTE codebook...17
3.4.2Zero-forcing precoding...18
3.5PF排程機制...19
四、MU-MIMO系統架構下的低複雜度PF排程設計...20
4.1MU-MIMO系統PF排程問題定義...20
4.2基於SNR估測之理論推導...22
4.3基於SNR估測之PF排程機制設計...25
4.4現有方法比較...28
五、數值模擬及分析...31
5.1模擬環境與參數設定...31
5.2使用LTE codebook效能...33
5.3使用ZF precoding效能...36
5.4效能總結與對比...39
六、結論...44
參考文獻...47
[1] NTT DOCOMO. Update of E-UTRA and IMT-Advanced Re- quirements, January 2009.

[2] Al-Jaradat Huthaifa and Sandrasegaran Kumbesan. Survey on the Research Challenges of Radio Resource Management in LTE- A and the Current Proposed Solutions for these Challenges. IN- TERNATIONAL JOURNAL OF COMPUTERS &; TECHNOL- OGY, 7(3):626–637, June 2013.

[3] Y. Subramanyam and Y. Venkateswarlu. WiMAX Base Station

Scheduling Algorithms. 2009.


[4] Lingjia Liu and Jianzhong Zhang. Proportional fair scheduling for multi-cell multi-user mimo systems. In 2010 44th Annual Con- ference on Information Sciences and Systems (CISS), pages 1–6. IEEE, March 2010.

[5] Emre Telatar. Capacity of Multi-antenna Gaussian Channels.

European Transactions on Telecommunications, 10(6):585–595, November 1999.

[6] Chakchai So-In, Raj Jain, and Abdel-Karim Tamimi. Schedul- ing in IEEE 802.16e mobile WiMAX networks: key issues and a survey. IEEE Journal on Selected Areas in Communications,
27(2):156–171, February 2009.


[7] 3GPP TS 23.203 V11.8.0. Technical Specification Group Services and System Aspects. Policy and charging control architecture (Re- lease 11), December 2012.

[8] Alexander Sayenko, Olli Alanen, Juha Karhula, and Timo Ham¨alainen. Ensuring the QoS requirements in 802.16 schedul- ing. In Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
- MSWiM ’06, page 108, New York, New York, USA, October

2006. ACM Press.


[9] Honghai Zhang, Narayan Prasad, and Sampath Rangarajan.

MIMO downlink scheduling in LTE systems. 2012 Proceedings

IEEE INFOCOM, pages 2936–2940, March 2012.


[10] R. Knopp and P.A. Humblet. Information capacity and power control in single-cell multiuser communications. In Proceedings IEEE International Conference on Communications ICC ’95, vol- ume 1, pages 331–335. IEEE, 1995.

[11] D. Aktas and H. El Gamal. Multiuser scheduling for MIMO wire- less systems. 2003 IEEE 58th Vehicular Technology Conference.

VTC 2003-Fall (IEEE Cat. No.03CH37484), (2):1743–1747 Vol.3,

2003.


[12] T.F. Maciel and A. Klein. On the Performance, Complexity, and Fairness of Suboptimal Resource Allocation for Multiuser MIMO–OFDMA Systems. IEEE Transactions on Vehicular Tech- nology, 59(1):406–419, January 2010.

[13] Ian F. Akyildiz, Won-Yeol Lee, Mehmet C. Vuran, and Shantidev Mohanty. NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks,
50(13):2127–2159, September 2006.


[14] Songsong Shi, Chunyan Feng, and Caili Guo. A Resource Schedul- ing Algorithm Based on User Grouping for LTE-Advanced System with Carrier Aggregation. In 2009 International Symposium on Computer Network and Multimedia Technology, pages 1–4. IEEE, December 2009.

[15] Yao-Liang Chung, Lih-Jong Jang, and Zsehong Tsai. An efficient downlink packet scheduling algorithm in LTE-Advanced systems with Carrier Aggregation. In 2011 IEEE Consumer Communica- tions and Networking Conference (CCNC), pages 632–636. IEEE, January 2011.

[16] Jiatian Liang, Feng Li, Brian Krongold, and Jamie Evans. Trans- mission mode selection in a heterogeneous network using oppor-

tunistic beamforming. In 2013 IEEE Global Communications

Conference (GLOBECOM), pages 3802–3808. IEEE, December

2013.


[17] 3GPP TS 36.211 V11.1.0. Evolved Universal Terrestrial Radio Access. Physical Channels and Modulation (Release 11), Decem- ber 2012.

[18] Q.H. Spencer, A.L. Swindlehurst, and M. Haardt. Zero-Forcing Methods for Downlink Spatial Multiplexing in Multiuser MIMO Channels. IEEE Transactions on Signal Processing, 52(2):461–
471, February 2004.


[19] J.G. Andrews, R.W. Heath, and B.L. Evans. Low complexity user selection algorithms for multiuser MIMO systems with block diag- onalization. IEEE Transactions on Signal Processing, 54(9):3658–
3663, September 2006.


[20] Kyuhwan Kwak, Hyewon Lee, Hui Won Je, Jongwoo Hong, and Sunghyun Choi. Adaptive and Distributed CoMP Scheduling in LTE-Advanced Systems. In 2013 IEEE 78th Vehicular Technology Conference (VTC Fall), pages 1–5. IEEE, September 2013.

[21] Runhua Chen, Zukang Shen, Jeffrey G. Andrews, and Robert W.

Heath. Multimode Transmission for Multiuser MIMO Systems With Block Diagonalization. IEEE Transactions on Signal Pro- cessing, 56(7):3294–3302, July 2008.

[22] Xia Chen, Honglin Hu, Haifeng Wang, Hsiao-Hwa Chen, and M. Guizani. Double proportional fair user pairing algorithm for uplink virtual MIMO systems. IEEE Transactions on Wireless Communications, 7(7):2425–2429, July 2008.

[23] 3GPP TSG-RAN1 #46 R1-062052. UL system analysis with

SDMA, Tallinn, Estonia, Aug. 2006.


[24] William R. Hawe Rajendra K. Jain, Dah-Ming W. Chiu. A quan- titative measure of fairness and discrimination for resource alloca- tion in shared computer systems. Technical report, DEC Research Report TR-301., 1984.

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