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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蘇柏青 | |
| dc.contributor.author | Chia-Lin Hsu | en |
| dc.contributor.author | 許家霖 | zh_TW |
| dc.date.accessioned | 2021-06-17T03:15:36Z | - |
| dc.date.available | 2023-07-19 | |
| dc.date.copyright | 2018-07-19 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-07-06 | |
| dc.identifier.citation | [1] J. Wang, L. He, and J. Song. An overview of spatial modulation techniques for millimeter wave mimo systems. In 2017 IVth International Conference on Engineeringand Telecommunication (EnT), pages 51–56, 2017.
[2] A. F. Molisch, V. V. Ratnam, S. Han, Z. Li, S. L. H. Nguyen, L. Li, and K. Haneda. Hybrid beamforming for massive mimo: A survey. IEEE Communications Magazine, 55(9):134–141, 2017. [3] A. Alkhateeb, O. El Ayach, G. Leus, and R. W. Heath. Hybrid precoding for millimeter wave cellular systems with partial channel knowledge. In 2013 Information Theory and Applications Workshop (ITA), pages 1–5, 2013. [4] Z. Xu, S. Han, Z. Pan, and C. L. I. Alternating beamforming methods for hybrid analog and digital mimo transmission. In 2015 IEEE International Conference on Communications (ICC), pages 1595–1600, 2015. [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, 10(3):501–513, 2016. [6] H. Lin, F. Gao, S. Jin, and G. Y. Li. A new view of multi-user hybrid massive mimo: Non-orthogonal angle division multiple access. IEEE Journal on Selected Areas in Communications, 35(10):2268–2280, 2017. [7] A. Kaushik, J. Thompson, and M. Yaghoobi. Sparse hybrid precoding and combining in millimeter wave mimo systems. In Radio Propagation and Technologies for 5G (2016), pages 1–7, 2016. [8] Z. Wang, M. Li, X. Tian, and Q. Liu. Iterative hybrid precoder and combiner design for mmwave multiuser mimo systems. IEEE Communications Letters, 21(7):1581– 1584, 2017. [9] O. E. 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, 13(3):1499–1513, 2014. [10] F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, and F. Tufvesson. Scaling up mimo: Opportunities and challenges with very large arrays. IEEE Signal Processing Magazine, 30(1):40–60, 2013. [11] L. Lu, G. Y. Li, A. L. Swindlehurst, A. Ashikhmin, and R. Zhang. An overview of massive mimo: Benefits and challenges. IEEE Journal of Selected Topics in Signal Processing, 8(5):742–758, 2014. [12] H. Q. Ngo, E. G. Larsson, and T. L. Marzetta. Massive mu-mimo downlink tdd systems with linear precoding and downlink pilots. In 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), pages 293 298, 2013. [13] S. Chen, S. Sun, Q. Gao, and X. Su. Adaptive beamforming in tdd-based mobile communication systems: State of the art and 5g research directions. IEEE Wireless Communications, 23(6):81–87, 2016. [14] X. Wang, X. Hou, H. Jiang, A. Benjebbour, Y. Saito, Y. Kishiyama, J. Qiu, H. Shen, C. Tang, T. Tian, and T. Kashima. Large scale experimental trial of 5g mobile communication systems - tdd massive mimo with linear and non-linear precoding schemes. In 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pages 1–5, 2016. [15] A. Adhikary, J. Nam, J. Y. Ahn, and G. Caire. Joint spatial division and multiplexing-the large-scale array regime. IEEE Transactions on Information Theory, 59(10):6441–6463, 2013. [16] X. Zhang, J. Tadrous, E. Everett, F. Xue, and A. Sabharwal. Angle-of-arrival based beamforming for fdd massive mimo. In 2015 49th Asilomar Conference on Signals, Systems and Computers, pages 704–708, 2015. [17] Y. S. Jeon, H. S. Ku, and N. Lee. Beamforming design and user grouping for fdd massive mimo systems. In 2017 International Conference on Information and Communication Technology Convergence (ICTC), pages 439–443, 2017. [18] U. Ugurlu, R. Wichman, C. B. Ribeiro, and C. Wijting. A multipath extraction-based csi acquisition method for fdd cellular networks with massive antenna arrays. IEEE Transactions on Wireless Communications, 15(4):2940–2953, 2016. [19] Ming-Fu Tang and Borching Su. Downlink precoding for multiple users in fdd massive mimo without csi feedback. Journal of Singal Processing Systems, 83(2):151–163, 2015. [20] M. F. Tang, S. Y. Wang, and B. Su. Beamforming designs for multiuser transmissions in fdd massive mimo systems using partial csit. In 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), pages 1–5, 2016. [21] H. T. Friis. A note on a simple transmission formula. Proceedings of the IRE, 34(5):254–256, 1946. [22] David Tse and Pramod Viswanath. Fundamentals of wireless communication. Cambridge University Press, 2005. [23] Alan J. Laub. Matrix analysis for scientists and engineers. Society for Industrial and Applied Mathematics, 2004. [24] J. Dattorro. Convex optimization & euclidean distance geometry. Me-boo Publishing, 2016. [25] H. Steyskal. Digital beamforming. In 1988 18th European Microwave Conference, pages 49–57, 1988. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/69434 | - |
| dc.description.abstract | 巨量天線(Large-Scale Antenna) 系統極有可能成為下一世代的無線通訊架構。隨著天線數量的增加，獲取完整通道資訊(CSIT) 的難度也隨之提高。除此之外，傳統數位波束成型技術(Fully Digital Beamforming)，因受限於每支天線都需要有專屬射頻電路(RF Chain)，而射頻電路的高成本與高功率的損耗使得傳統數位波束成型技術在巨量天下系統下並不切實際。在本論文中，提出了一種在分頻多工下(Frequency Division Duplex)，混和波束成型(Hybrid Beamforming)預編碼的演算法。藉由上行(Uplink) 與下行(Downlink) 通道的互惠性(Reciprocity)，可以有效率地獲得部分的通道資訊。為了避免任何使用者遇到不好的傳輸品質，演算法考慮到公平性的問題。模擬結果顯示了我們所提出的混和波束成型演算法，在比較少的射頻電路下, 其表現可以非常接近傳統數位波速成型。與此同時，對所有使用者也保持了公平的傳輸品質。 | zh_TW |
| dc.description.abstract | Large-scale antenna (LSA) holds a huge potential for the next-generation communication systems. However, the acquisition of full channel state information at transmitter (CSIT) becomes a big challenge when the scale of antenna arrays gets larger. Furthermore, conventional fully digital beamforming (FDB) requires a dedicated radio frequency (RF) chain for each antenna, which leads to high cost and critical power consumption in LSA. In this thesis, a hybrid beamforming (HB) design method in frequency-division duplex (FDD) LSA systems with partial CSIT condition is proposed. By exploiting the FDD channel reciprocity, partial CSIT can be acquired effectively. To avoid any user equipment (UE) experiencing poor quality of service (QoS), the fairness constraint is considered. Simulation results show that the proposed HB design can achieve nearly the same performance compare to that of the optimal FDB and less number of RF chain is needed. Meanwhile, the QoS is maintained for each UE. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T03:15:36Z (GMT). No. of bitstreams: 1 ntu-107-R05942118-1.pdf: 1632779 bytes, checksum: c338dd17226a225376fec84072c09c7c (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract iii List of Figures vi List of Tables vii Abbreviations viii 1 Introduction 1 1.1 Contribution 4 2 System Model 6 2.1 Notation 7 2.2 Millimeter Wave and Beamforming Technique 8 2.3 Channel Model 9 2.4 System model for fully connected hybrid beamforming 11 2.5 FDD Reciprocity and Partial CSIT Acquisition Scheme 13 2.6 Problem Statement 14 2.7 Existing Methods 15 2.7.1 Fully Digital Beamforming Method 15 2.7.2 Hybrid Beamforming Design through Matching Pursuit 16 2.7.3 Beamsteering Method 18 3 Proposed Methods 19 3.1 Interference-Nulling Hybrid Beamforming Design 20 3.2 Hybrid Beamforming With Finite Resolution Phase Shifters 23 3.3 Robust Interference-Suppressing Hybrid beamforming Design 24 4 Simulation Results 27 4.1 Simulation Parameters 28 4.2 Simulation Results 29 4.3 Max-Min Criterion Discussion 38 5 Conclusion 39 Bibliography 41 | |
| dc.language.iso | en | |
| dc.title | 在巨量天線系統下使用部分通道資訊達成最大化最小增益之使用者之混和式波束成型設計 | zh_TW |
| dc.title | Max-Min Hybrid Beamforming Optimization in Large-Scale Antenna Systems with Partial CSIT | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 馮世邁,林士駿 | |
| dc.subject.keyword | 分頻多工,巨量天線,部分通道資訊,傳統數位波束成型,混和波束成型, | zh_TW |
| dc.subject.keyword | FDD,Large-scale antenna,partial CSIT,Fully digital beamforming,Hybrid beamforming, | en |
| dc.relation.page | 44 | |
| dc.identifier.doi | 10.6342/NTU201801272 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2018-07-06 | |
| 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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