跳到主要內容

臺灣博碩士論文加值系統

(34.204.198.73) 您好!臺灣時間:2024/07/19 15:25
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:陳宜蓁
研究生(外文):Chen, Yi-Chen
論文名稱:多群組和多用戶系統之混合波束成型和共享波束設計
論文名稱(外文):Hybrid Beamforming and Joint Beam Design for Multiple Groups and Multiuser Systems
指導教授:蔡尚澕
指導教授(外文):Tsai, Shang-Ho
口試委員:吳文榕林源倍蔡旼珊
口試委員(外文):Wu, Wen-RongLin, Yuan-PeiTsai, Min-Shan
口試日期:2020-08-26
學位類別:碩士
校院名稱:國立交通大學
系所名稱:電控工程研究所
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:2020
畢業學年度:109
語文別:英文
論文頁數:80
中文關鍵詞:混合預編碼共享波束多群組系統多用戶系統
外文關鍵詞:hybrid beamformingjoint beammultiple groups' systemmultiple users' system
相關次數:
  • 被引用被引用:0
  • 點閱點閱:240
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
在5G系統中,毫米波被廣泛使用,因為它可以滿足高數據速率需求並解決頻譜短缺問題。而且,毫米波的高損耗特性可以使用陣列天線來補償損耗。然而,高昂的硬體成本和額外的功率約束使得毫米波系統的設計具有挑戰性。為了降低硬體複雜性,在本論文中,我們提出了一種全新的混合預編碼器結構,該結構可使RF鏈的數量少於用戶數量。主要的想法是基地台形成一個共享的波束支持所有的用戶。我們使用某種技術(例如分時多工)來避免群內用戶之間的干擾。在此建議中,我們專注於多用戶傳輸通訊。單個數據流被多個用戶接收,但RF鏈的數量可以少於用戶數量。我們的目標是最大化通道容量並分析不同情況下的性能。此外,我們將系統擴展到多個群組。我們為用戶的群組和配對提出了一種快速演算法,而不是使用窮舉搜索法,這顯著地降低了系統的複雜性。
In the 5G system, mmWave is widely used because it can meet the high data rates demand and solve the shortage of spectrum. However, the high hardware cost and extra power constraint make the design of the millimeter-wave system challenging. To reduce the complexity and power consumption, we propose a brand-new hybrid precoder structure, which can allow the number of RF chains fewer than the number of users. The idea is that one optimized beam pattern at the base station supports all users. We avoid interference between users in the group using a certain technology (such as Time Division Multiple Access (TDMA)). In this proposal, we focus on multi-user transmission communication. The single data stream with RF chains supported multiple users, but the number of RF chains can less than the number of users. Our goal is to maximize the channel capacity and analyze its performance in different situations. In addition, we extend the system to multiple groups. We propose a fast algorithm for the group and pair users instead of using exhaustive search. This significantly reduces system complexity.
Contents
Abstract (in Chinese)
Abstract (in English)
Acknowledgement (in Chinese)

1 Introduction . . . 1
1.1 Importance . . . 1
1.2 Literature Survey . . . 1
1.3 Motivation . . . 3
1.4 Contribution . . . 3
1.5 Organization . . . 4

2 System and Problem Formulation . . . 6
2.1 Notations . . . 6
2.2 System Model . . . 7
2.3 Channel Model . . . 9
2.4 Problem Formulation . . . 11

3 Proposed Solutions . . . 12
3.1 Maximizing the Sum Rate for a Given Transmit Power . . . 12

4 Extension to Multiple Groups . . . 17
4.1 System Model . . . 17
4.2 User Grouping and Pairing . . . 19
4.3 Problem Formulation . . . 21
4.4 Proposed Hybrid Precoder for Multiple Groups of Users . . . 23
4.4.1 A Special Case: Two Groups of Users . . . 23
4.4.2 The General Case: Groups of Users Larger than Two . . . 26
4.5 Proposed Fast Algorithm . . . 34
4.5.1 The Grouping Algorithm . . . 36
4.5.2 The Pairing Algorithm . . . 39

5 Numerical Result . . . 41
5.1 Experiment 1: The performance of the proposed solution in the MISO system . . . 42
5.2 Experiment 2: The sum rate comparison by changing the number of antennas and propagation paths: proposed precoder design vs. conventional MU-MIMO system . . . 43
5.3 Experiment 3: The sum rate comparison by changing the phase range: proposed precoder design vs. conventional MU-MIMO system . . . 46
5.4 Experiment 4: Normalization of fully digital precoder for individual users . . . 48
5.5 Experiment 5: The total sum rate comparison in the grouped special case . . . 51
5.6 Experiment 6: The performance comparison in a special case: exhaustive search vs. fast algorithm . . . 54
5.7 Experiment 7: The performance comparison in the general case: exhaustive search vs. fast algorithm . . . 57
5.8 Experiment 8: The sum rate comparison: proposed precoder design vs. conventional MU-MIMO system . . . 61

6 Conclusion . . . 64

Appendix . . . 65
A All grouping and pairing cases of Example 4.1 of in two groups . . . 65
B All grouping and pairing cases of Example 4.1 of in three groups . . . 68
C Proof the MMSE receive filter . . . 71
D Proof the MSE . . . 72
E Proof of the solution of the sum-rate maximization problem . . .73
F Proof of the WMMSE problem . . .75

Bibliography . . . 77
Bibliography

[1] S. Yong and C. Chong, "An overview of multigigabit wireless through millimeter wave technology: potentials and technical challenges," EURASIP Journal on Wireless Comm. and Net., 2007.

[2] Z. Pi and F. Khan, "An introduction to millimeter-wave mobile broadband systems," IEEE Commun. Mag., vol. 49, no. 6, pp. 101-107, Jun. 2011.

[3] S. Rangan, T. S. Rappaport, and E. Erkip, "Millimeter-wave cellular wireless networks: Potentials and challenges" Proc. IEEE, vol. 102, no. 3, pp. 366-385, Mar. 2014.

[4] J. G. Andrews, S. Buzzi, W. Choi, S. V. Hanly, A. Lozano, C. K. Soong, and J. C. Zhang, "What will 5G be?," IEEE J. on Selected Areas in Commun., vol. 32, no. 6, pp. 1065-1082, Jun. 2014.

[5] X. Wu et al., "60-GHz Millimeter-Wave Channel Measurements and Modeling for Indoor Office Environments," IEEE Trans. on Antennas and Propagation, vol. 65, no. 4, pp. 1912-1924, Apr. 2017.

[6] P. C. Weeraddana, M. Codreanu, M. Latva-aho, A. Ephremides; C. Fischione, "Weighted Sum-Rate Maximization in Wireless Networks: A Review," 2012.

[7] B. O. Lee, H. W. Je, O. Shin and K. B. Lee, "A novel uplink MIMO transmission scheme in a multicell environment," IEEE Trans. on Wireless Commun., vol. 8, no. 10, pp. 4981-4987, Oct 2009.

[8] S. Park, H. Park and I. Lee, "Distributed Beamforming Techniques for Weighted Sum-Rate Maximization in MISO Interference Channels," IEEE Commun. Lett., vol. 14, no. 12, pp. 1131-1133, Dec. 2010.

[9] S. S. Christensen, R. Agarwal, E. de Carvalho and J. M. Cioffi, "Weighted Sum-Rate Maximization Using Weighted MMSE for MIMO-BC Beamforming Design," IEEE International Conference on Commun., 2009.

[10] R. Zakhour, D. Gesbert,"Coordination on the MISO interference channel using the virtual SINR framework," 2009.

[11] T. Sheikh, J. Bora, "Capacity maximizing in massive MIMO with linear precoding for SSF and LSF channel with perfect CSI," Digit. Commun. Net., 2019.

[12] C. Li, C. Zhong, L. Yang and Z. He, "Capacity criterion for codebook design in MIMO systems with limited feedback," International Conference on Neural Networks and Signal Processing, pp. 168-172, 2008.

[13] P. Y. Kuang, K. Jerry, "Performance analysis and comparison of ZF and MRT based downlink massive MIMO systems," IEEE Trans. on Wireless Commun., vol. 13, no. 3, pp. 1499-1513, Mar. 2014.

[14] E. Pakdeejit,"Linear Precoding Performance of Massive MU-MIMO downlink System," 2013.

[15] H. Jayakumar, K. Lee, W. Lee, A. Raha, Y. Kim, V. Raghunathan, "Powering the internet of things," Inter. Symp. on Low power electronics and design (ISLPED), pp. 375-380, Aug. 2014.

[16] A. Alkhateeb, O. El Ayach, G. Leus and R. W. Heath, "Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems," IEEE J. of Selected Topics in Signal Proc., vol. 8, no. 5, pp. 831-846, Oct. 2014.

[17] Y. Chen, S. Tsai and G. C. H. Chuang, "A Joint Codebook Design for Beamforming Systems with Transmit Antenna Selection," IEEE International Conference on Commun. (ICC), pp. 1-5, 2011.

[18] T. Xie, L. Dai, X. Gao, M. Z. Shakir and J. Li, "Geometric mean decomposition based hybrid precoding for millimeter-wave massive MIMO," China Commun.,vol. 15, no. 5, pp. 229-238, May 2018.

[19] D. H. N. Nguyen, L. B. Le, T. Le-Ngoc and R. W. Heath,"Hybrid MMSE Precoding and Combining Designs for mmWave Multiuser Systems," IEEE Access, vol. 5, pp. 19167-19181, 2017.

[20] X. Gao, L. Dai, S. Han, C. I and R. W. Heath, "Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays," IEEE J. on Selected Areas in Commun., vol. 34, no. 4, pp. 998-1009, April 2016.

[21] F. Zhang and M. Wu, "Hybrid analog-digital precoding for millimeter wave MIMO systems," International Conference on Communication Technology (ICCT), pp. 69-73, 2017.

[22] J. Zhu, R. Schober and V. K. Bhargava, "Linear Precoding of Data and Artificial Noise in Secure Massive MIMO Systems," IEEE Trans. on Wireless Commun., vol. 15, no. 3, pp. 2245-2261, Mar. 2016.

[23] A. Alkhateeb, G. Leus and R. W. Heath, "Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems," IEEE Trans. on Wireless Commun., vol. 14, no. 11, pp. 6481-6494, Nov. 2015.

[24] L. Zhao, D. W. K. Ng and J. Yuan, "Multi-User Precoding and Channel Estimation for Hybrid Millimeter Wave Systems," IEEE J. on Selected Areas in Commun., vol. 35, no. 7, pp. 1576-1590, Jul. 2017.

[25] D. H. N. Nguyen, L. B. Le and T. Le-Ngoc, "Hybrid MMSE precoding for mmWave multiuser MIMO systems," IEEE International Conference on Commun. (ICC), pp. 1-6, 2016.

[26] J. Li, L. Xiao, X. Xu and S. Zhou, "Robust and Low Complexity Hybrid Beamforming for Uplink Multiuser MmWave MIMO Systems," IEEE Commun. Lett., vol. 20, no. 6, pp. 1140-1143, Jun. 2016.

[27] P. Lee and Y. Lin, "Hybrid MIMO-OFDM for Downlink Multi-User Communications Over Millimeter Channels with no Instantaneous Feedback," IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, 2019.

[28] S. K. Mohammed, and E. G. Larsson,"Per-Antenna Constant Envelope Precoding for Large Multi-User MIMO Systems," IEEE Trans. on Commun., vol. 61, no. 3, Mar. 2013.

[29] J. Pan and W.-K. Ma, "Constant envelope precoding for single-user large-scale MISO channels: Efficient precoding and optimal designs," IEEE Journal Sel. Top. Sig. Process., vol. 8, no. 5, pp. 982-995, Oct. 2014.

[30] M. Kazemi, H. Aghaeinia, and T. M. Duman, "Discrete-phase constant envelope precoding for massive MIMO systems, " IEEE Trans. Commun., vol. 65, no. 5, pp. 2011-2021, May 2017.

[31] J.-C. Chen, C.-K. Wen, and K.-K. Wong, "Improved constant envelope multi-user precoding for massive MIMO systems, " IEEE Commun. Lett., vol. 18, no. 8, pp. 1311-1314, Aug. 2014.

[32] J. I Agbinya, M. C. Aguayo-Torres, R. Klempous, and J. Nikodem, “4G Wireless Communication Networks: Design Planning and Applications," Aug. 2013.

[33] R. Seno, T. Ohtsuki, W. Jiang and Y. Takatori, "Interference Alignment in Heterogeneous Networks Using Pico Cell Clustering," IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), pp. 1-5, 2015.

[34] L. Tran, M. F. Hanif, A. Tolli and M. Juntti, "Fast Converging Algorithm for Weighted Sum Rate Maximization in Multicell MISO Downlink," IEEE Signal Proc. Lett., vol. 19, no. 12, pp. 872-875, Dec. 2012.

[35] C. Gustafson, K. Haneda, S. Wyne and F. Tufvesson, "On mm-Wave Multipath Clustering and Channel Modeling," IEEE Transactions on Antennas and Propagation, vol. 62, no. 3, pp. 1445-1455, March 2014.

[36] A. Alkhateeb, O. El Ayach, G. Leus and R. W. Heath, "Hybrid precoding for millimeter wave cellular systems with partial channel knowledge," Information Theory and Applications Workshop (ITA), pp. 1-5, 2013.

[37] M. Joham, K. Kusume, M. H. Gzara, W. Utschick and J. A. Nossek, "Transmit Wiener filter for the downlink of TDDDS-CDMA systems," IEEE Seventh International Symposium on Spread Spectrum Techniques and Applications, vol. 1, pp. 9-13, 2002.
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top