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研究生:沈達蓁
研究生(外文):Da-Chen Shen
論文名稱:在大規模多輸入多輸出下行傳輸中減少通道資訊回饋之技術
論文名稱(外文):Channel Feedback Load Reduction at Scheduling Stage in Massive-MIMO Downlink Transmission
指導教授:蘇炫榮
指導教授(外文):Hsuan-Jung Su
口試委員:蘇柏青林士駿
口試委員(外文):Borching SuShih-Chun Lin
口試日期:2014-06-18
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:電信工程學研究所
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:50
中文關鍵詞:多輸入多輸出大規模多輸入多輸出多用戶多輸入多輸出通道狀態信息通道品質指標通道方向信息隨機波束成形通道量測部分正交之使用者選擇
外文關鍵詞:MIMOMassive-MIMOMU-MIMOCSICQICDIRandom BeamformingCSI EstimationSUS
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由於我們必須在有限的頻寬內追求更高的傳輸速度(throughput)以及更穩定的傳輸品質(QoS),大規模多輸入多輸出(Massive-MIMO)目前被認為是能夠在未來的5G無線通訊系統中達成此目標的關鍵技術。大規模多輸入多輸出是指系統中的基地台擁有數百根天線提供更大的空間多樣性,能夠同時在同頻段服務數十個使用者。但要獲得這些好處,基地台需要取得所有使用者的即時通道資訊(CSI)才能避免使用者間的干擾。
在頻分雙工模式中(FDD),量測通道資訊(CSI)時,基地台的每根天線都需要先傳送一段已知訊號(pilots),使用者再將量測結果回報給基地台,這種方法在大規模多輸入多輸出並不適用的,所以目前傾向於在大規模多輸入多輸出系統利用時分雙工模式(TDD)中頻道互惠 (Channel Reciprocity) 的方式來達成通道資訊的取得,如此一來,基地台並不需要傳送已知訊號,基地台只要量測每位使用者所傳送的已知訊號來估計使用者到每根天線的通道資訊(CSI)。
但頻道互惠的成立與否目前還受到相當的質疑,此研究是藉由隨機波束成形(Random beamforming)的通道量測方法,讓大規模多輸入多輸出系統能夠在頻分雙工模式中傳輸。我們也把基地台在挑選使用者的過程(scheduling stage)加入考慮,並且提出一套方法進一步減少使用者的回報量。


The concept of Massive-MIMO is a system where a base station equipped with a large number of antennas, say 100 antennas or more, simultaneously serves several users in the same frequency band. However, to harvest the potential bene ts of Massive-MIMO, the base station must acquire the instantaneous channel state information (CSI) in order to suppress inter-user interference. With frequency division duplexing (FDD), channel estimation becomes much more challenging since radio resources required by common
pilots and feedback both grow linearly with the number of BS antennas. By exploiting channel reciprocity, CSI acquisition at base station is more feasible under time division duplexing (TDD) operation. So, time division duplexing
is more preferable in Massive-MIMO systems. Nonetheless, the assumption of channel reciprocity in TDD might not be practical.
In our work, we utilize the random beamforming CSI estimation method in order to make Massive-MIMO system work for FDD operation. Then, we take the scheduling mechanism into consideration and propose a novel scheme to reduce the feedback load at scheduling stage.

1 Introduction 1
1.1 Background . . . . . . . . . . . . . . . 1
1.2 Previous Work and Motivation . .. . . . . 5
1.3 Thesis Organization . . . . . . . . . . . 8
1.4 Notations . . . . . . . . . . . . . . . . 9
2 System Model and Problem Formulation 10
2.1 System Model . . . . . . . . . . . . . . .10
2.1.1 Random Beamforming CSI Estimation . 11
2.1.2 Finite Rate Feedback for CDI Quantization . 14
2.1.3 CSI Estimation Weight Design . . .. 16
2.1.4 Data Transmission Weight Design . . 18
2.2 Problem Formulation . . . . . . . . . . . 22
2.2.1 User Selection Algorithm . . . . . 23
2.2.2 The Properties of the SUS Alogorithm 25
3 Opportunistic Feedback Reduction at Scheduling Stage 30
3.1 CQI Distribution . . . . . . . . . . . . . 31
3.2 Derivation of Multiple Thresholds . . . . 35
3.3 Sum Rate Loss Analysis and Minimum Number of Regions40
4 Numerical Results 43
5 Conclusion 46

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[2] H. Yang and T. L. Marzetta, Performance of conjugate and zero-forcing beamforming in large-scale antenna systems," IEEE J. Sel. Areas Commun.,vol. 31, no. 2, pp. 172-179, Feb. 2013.
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2013
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[7] Tadilo Endeshaw Bogale and Long Bao Le, "Pilot optimization and channel estimation for multiuser massive MIMO systems," accepted in CISS 2014 Conference.
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[13] Jin-Hao Li and Hsuan-Jung Su, "Opportunistic feedback reduction for multiuser MIMO broadcast channel with orthogonal beamforming," IEEE TRANSACTIONS on WIRELESS COMMUNICATIONS, accepted for publication.
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