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研究生:林靖遠
研究生(外文):Ching-Yuan Lin
論文名稱:寬頻混合波束成型系統下的低複雜度用戶排程演算法
論文名稱(外文):Low Complexity User Scheduling Algorithm for Wideband Hybrid Beamforming Systems
指導教授:蘇炫榮
指導教授(外文):Hsuan-Jung Su
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:2022
畢業學年度:110
語文別:英文
論文頁數:37
中文關鍵詞:混合波束成型毫米波用戶排程
外文關鍵詞:Hybrid beamformingMillimeter WaveUser scheduling
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本文考慮將一種低複雜度的用戶排程方案應用於寬頻多用戶毫米波系統。由於射頻鏈的高成本,為了減少射頻鏈的數量,全數字化波束成型轉變為混合波束成型,結合了數字波束成型和模擬波束成型。在混合波束成型寬頻系統中,使用OFDM 將整個頻帶切割成多個子載波,並且為所有子載波設計一個共用的模擬預編碼器。很少有文獻討論用戶排程應用在混合波束成型寬頻系統。在以前的論文中使用了最大速率作為排程標準,並根據用戶的傳送速率選擇用戶。但是,這種方法的複雜度太高需要大量的時間,所以我們採用正交投影的方法來選擇用戶。模擬結果表明,所提出的演算法的最大速率可以達到了以前的提出的論文的最大速率,並且複雜度降低了射頻鏈數量的倍數。
This thesis considers applying a low complexity user scheduling scheme to a wideband multi-user millimeter wave (mmWave) system. Due to the high cost of the RF chain, to reduce the number of RF chains, the fully digital beamforming is transformed into hybrid beamforming that combines digital beamforming and analog beamforming. In hybrid beamforming wideband systems, OFDM is used to cut the entire frequency band into multiple sub-carriers, and a common analog precoder is designed for all sub-carriers.
Little literature discusses the user scheduling in hybrid beamforming wideband systems. In the previous work, the authors used maximum sum rate as the scheduling criterion and selected users based on their rates. However, the complexity of calculating user rates is too high and takes a lot of time, so we use the orthogonal projection method to select users. The simulation results show that the achieved sum rate of the proposed algorithm can reach that of the previous work, and the complexity is reduced by a multiple of the number of RF chains.
1 Introduction 1
1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Overview of the Thesis . . . . . . . . . . . . . . . . . . . . . . 4
1.3 Notations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2 System Model 6
2.1 Hybrid Beamforming . . . . . . . . . . . . . . . . . . . . . . . 6
2.2 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.3 Channel Model . . . . . . . . . . . . . . . . . . . . . . . . . . 9
3 Problem Formulation and Proposed Algorithm 11
3.1 Problem Formulation . . . . . . . . . . . . . . . . . . . . . . 11
3.2 Proposed Algorithm . . . . . . . . . . . . . . . . . . . . . . . 13
4 Complexity Analysis 18
5 Simulation Results 21
5.1 Simulation with different number of antennas . . . . . . . . . 21
5.2 Simulation with different number of sub-carriers . . . . . . . . 25
5.3 Simulation with different threshold α . . . . . . . . . . . . . . 28
6 Conclusions 34
Bibliography 35
[1] I. Ahmed, H. Khammari, A. Shahid, A. Musa, K. S. Kim, E. De Poorter, and I. Moerman, “A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives,” IEEE Communications Surveys Tutorials, vol. 20, no. 4, pp. 3060–3097, 2018.
[2] Z. Pi and F. Khan, “An introduction to millimeter-wave mobile broad-band systems,” IEEE Communications Magazine, vol. 49, no. 6, pp. 101–107, 2011.
[3] L. Liang, W. Xu, and X. Dong, “Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems,” IEEE Wireless Communications Letters, vol. 3, no. 6, pp. 653–656, 2014.
[4] O. El Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi, and R. W. Heath,“Spatially sparse precoding in millimeter wave MIMO systems,” IEEE transactions on wireless communications, vol. 13, no. 3, pp. 1499–1513, 2014.
[5] F. Sohrabi and W. Yu, “Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays,”IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 3, pp. 501–513, 2016.
[6] W. Ni and X. Dong, “Hybrid Block Diagonalization for Massive Multiuser MIMO Systems,” IEEE Transactions on Communications, vol. 64, no. 1, pp. 201–211, 2016.
[7] X. Yu, J.-C. Shen, J. Zhang, and K. B. Letaief, “Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 3, pp. 485–500, 2016.
[8] J.-Y. Lin, H.-J. Su, C.-C. Hong, and Y. Takano, “Low complexity hybrid precoder design for mmWave multi-user MIMO systems: A non-iterative approach,” in 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE, 2019, pp. 1–7.
[9] F. Sohrabi and W. Yu, “Hybrid Analog and Digital Beamforming for mmWave OFDM Large-Scale Antenna Arrays,” IEEE Journal on Selected Areas in Communications, vol. 35, no. 7, pp. 1432–1443, 2017.
[10] D. Zhang, Y. Wang, X. Li, and W. Xiang, “Hybrid beamforming for downlink multiuser millimetre wave MIMO-OFDM systems,” IET Communications, vol. 13, no. 11, pp. 1557–1564, 2019.
[11] T. E. Bogale, L. B. Le, A. Haghighat, and L. Vandendorpe, “On the Number of RF Chains and Phase Shifters, and Scheduling Design With Hybrid Analog–Digital Beamforming,” IEEE Transactions on Wireless Communications, vol. 15, no. 5, pp. 3311–3326, 2016.
[12] T. Yoo and A. Goldsmith, “On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming,” IEEE Journal on Selected Areas in Communications, vol. 24, no. 3, pp. 528–541, 2006.
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