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作者(中文):左環綸
作者(外文):Tso, Huan-Lun
論文名稱(中文):適用於毫米波系統基於多輸入多輸出混合預編碼之濾波正交分頻多工基頻處理器
論文名稱(外文):MIMO Hybrid Precoding Based Filtered Orthogonal Frequency Division Multiplexing Baseband Processor for Millimeter Wave Systems
指導教授(中文):黃元豪
指導教授(外文):Huang, Yuan-Hao
口試委員(中文):蔡佩芸
沈中安
陳坤志
口試委員(外文):Tsai, Pei-Yun
Shen, Chung-An
Chen, Kun-Chih
學位類別:碩士
校院名稱:國立清華大學
系所名稱:通訊工程研究所
學號:108064541
出版年(民國):111
畢業學年度:110
語文別:英文
論文頁數:65
中文關鍵詞:預編碼正交分頻多工多輸入多輸出毫米波系統
外文關鍵詞:PrecodingOFDMMIMOmmWave
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第五代通訊系統採用了毫米波多輸入多輸出系統及大型天線陣列以滿足高
吞吐量的傳輸需求。然而,當天線陣列的規模增加時,全數位預編碼會使用大
量的射頻鍊導致成本及功耗上升,而我們透過混合式預編碼技術降低射頻鍊及
資料轉換器造成的功耗及高成本。另一方面,透過濾波正交分頻多工系統滿足
未來無線通訊系統的要求,該系統具有比傳統正交分頻多工系統更高的效能 濾
波正交分頻多工系統會將整個頻寬劃分成多個子頻帶,每個子頻帶可根據需求
傳送數據資料。在此論文中,我們提出了一個基於低複雜度混合預編碼之濾波
正交分頻多工基頻處理器,其中每個子載波各自擁有一對基頻預編碼及組合
器,且所有子載波共用一對射頻預編碼及組合器。此外,透過TSMC 40nm CMOS
製程,實現了射頻組合器、濾波正交分頻多工解調器及基頻組合器的基頻處理
器,在141MHz的時鐘速度下各自的吞吐量可達0.5M矩陣每秒、0.57G位元
每秒及17.61M矩陣每秒。
The millimeter wave (mmWave) multiple-input and multiple-output (MIMO) system with large-scale antenna arrays is applied to satisfy the high throughput requirement in the fifth-generation communication systems. However, the radio frequency (RF) chains of fully digital precoding cost a lot in MIMO systems when the number of antennas becomes extremely large. The hybrid analog and digital precoding was proposed to reduce the power consumption and high hardware cost of RF chains and data converters. Moreover, filtered orthogonal frequency division multiplexing (F-OFDM) was proposed to meet the requirements of the future wireless communication system which has more remarkable performance than the conventional OFDM. In F-OFDM, the entire bandwidth is partitioned into several subbands for delivering data information. This work proposes a low complexity hybrid precoding based F-OFDM system, in which each subcarrier has an individual pair of baseband precoder and combiner, and all subcarriers share a pair of RF precoder and combiner. In addition, the baseband processor of the RF combiner, F-OFDM demodulator and baseband combiner were implemented by using TSMC 40nm CMOS process, which operate at 141 MHz and the throughput achieve 0.5 M matrices per second, 0.57 Gbps and 17.61 M matrices per second, respectively.
1 Introduction................ 1
1.1 5G waveform candidates with MIMO system................ 1
1.2 Hybrid Precoding techniques......................... 3
1.3 Research Motivation............................. 4
1.4 Organization of This Thesis......................... 4
1.5 Notations................................... 5
2 F-OFDM Sysmtem and Hybrid Precoding.................... 7
2.1 Channel Model of MIMO Systems...................... 7
2.2 Filtered Orthogonal Frequency Division Multiplexing........... 9
2.2.1 Transmitter Algorithms....................... 10
2.2.2 Receiver Algorithms......................... 16
2.3 Hybrid Precoding and Combining for Wideband mmWave MIMO Systems 18
2.3.1 Successive Interference Cancellation with Matrix-Inversion-Bypass
(SIC-MIB) RF Precoding and Combining Algorithm....... 19
2.3.2 Modified Block SVD Power Method Baseband Precoding Algorithm 24
2.3.3 Square Root Baseband Combining Algorithm........... 25
3 Hybrid Precoding-Based F-OFDM in Millimeter Wave MIMO Systems 29
3.1 Signal Processing............................... 30
3.2 Filtering.................................... 32

3.3 Specification and Simulation Results.................... 35
4 Hardware Implementation 43
4.1 RF Combiner................................. 43
4.1.1 VLSI Architecture.......................... 43
4.1.2 Timing Schedule........................... 45
4.1.3 Implementation Results....................... 45
4.2 F-OFDM Demodulator............................ 48
4.2.1 VLSI Architecture.......................... 48
4.2.2 Timing Schedule........................... 50
4.2.3 Implementation Results....................... 50
4.3 Baseband Combiner.............................. 52
4.3.1 VLSI Architecture.......................... 52
4.3.2 Timing Schedule........................... 55
4.3.3 Implementation Results....................... 55
4.4 Overall Baseband Processor......................... 58
5 Conclusion and Future Work 61
References 63
[1] G.-K. Chang and L. Cheng, "Fiber-wireless integration for future mobile communications,"in 2017 IEEE Radio and Wireless Symposium (RWS), 2017, pp. 16-18.

[2] Q. Y. Hengwei Lv, Pandong Li and H. Zhang, "Energy-efficient multi-cell resource allocation in cognitive radio-enabled 5g systems," EURASIP, 1 2019.

[3] Y. Medjahdi, S. Traverso, R. Gerzaguet, H. Shaiek, R. Zayani, D. Demmer, R. Zakaria, J.-B. Dore, M. Ben Mabrouk, D. Ruyet, Y. Louet, and D. Roviras, "On the road to 5g: Comparative study of physical layer in mtc context," IEEE Access, vol. PP, pp. 1{1, 11 2017.

[4] S. Sun, T. S. Rappaport, R. W. Heath, A. Nix, and S. Rangan, "Mimo for millimeter-wave wireless communications: beamforming, spatial multiplexing, or both?" IEEE Communications Magazine, vol. 52, no. 12, pp. 110-121, 2014.

[5] 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.

[6] H.-W. Ku, "Hybrid precoding and combining algorithms for wideband millimeter wave mimo systems," Master's thesis, National Tsing Hua University, Taiwan, 2018.

[7] C. Hsu, \Reconfigurable filtered orthogonal frequency division multiplexing baseband processor for 5g mobile communication systems," Master's thesis, National Tsing Hua University, Taiwan, 2019.

[8] Q. Spencer, B. Jeffs, M. Jensen, and A. Swindlehurst, "Modeling the statistical time and angle of arrival characteristics of an indoor multipath channel," IEEE Journal on Selected Areas in Communications, vol. 18, no. 3, pp. 347-360, 2000.

[9] P. F. M. Smulders and L. Correia, "Characterisation of propagation in 60 ghz radio channels," Electronics Communication Engineering Journal, vol. 9, no. 2, pp. 73-80, 1997.

[10] Huawei and HiSilicon, Eds., F-OFDM scheme and filter design, vol. R1-165425.3GPP, 2016.

[11] C. D and R. L, "Fast inversion of vanderomnde-like matrices involving orthogonal polynomials," BIT Numerical Mathematics, vol. 33, no. 3, pp. 473-484, 1993.

[12] X. Gao, L. Dai, S. Han, C.-L. I, and R. W. Heath, "Energy-efficient hybrid analog and digital precoding for mmwave mimo systems with large antenna arrays," IEEE Journal on Selected Areas in Communications, vol. 34, no. 4, pp. 998-1009, 2016.

[13] A.H.Bentbib and A.Kanber, "Block Power Method for SVD Decomposition," in An. S,t. Univ. Ovidius Constant,a, vol. 23(2), 2015, pp. 45-58.

[14] B. Hassib, "An efficient square-root algorithm for blast," vol. 2, no. 4, pp. II737-II740, 2000.

[15] Y.-J. Su, "Hybrid-precoding-based mimo filtered-ofdm baseband processor for wideband millimeter wave systems," Master's thesis, National Tsing Hua University, Taiwan, 2020.

[16] X. Zhang, M. Jia, L. Chen, J. Ma, and J. Qiu, "Filtered-ofdm-enabler for flexible waveform in the 5th generation cellular networks," IEEE Global Telecommunications, pp. 1-6, 2015.

[17] K. C. Hu and A. G. Armada, "Sinr analysis of ofdm and f-ofdm for machine type communications," in 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016, pp. 1-6.

[18] X. Zhang, M. Jia, L. Chen, J. Ma, and J. Qiu, "Filtered-ofdm - enabler for flexible waveform in the 5th generation cellular networks," in 2015 IEEE Global Communications Conference (GLOBECOM), 2015.

[19] S. Roy and A. Chandra, \A new design strategy of sharp cut-off fir filter with powers-of-two coefficients," in 2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2018, pp. 1-6.

[20] W.-S. Lu and T. Hinamoto, "A unified approach to the design of interpolated and frequency-response-masking fir filters," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 63, no. 12, pp. 2257-2266, 2016.

[21] D. Lo lacono and M. Ronchi, "Binary canonic signed digit multiplier for high-speed digital signal processing," in The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04., vol. 2, 2004.

[22] P.-Y. Tsai, C.-W. Chen, and M.-Y. Huang, "Automatic ip generation of fft/ifft processors with word-length optimization for mimo-ofdm systems," EURASIP Journal on Advances in Signal Processing, vol. 2011, pp. 1-15, 2010.

[23] P. Luethi, A. Burg, S. Haene, D. Perels, N. Felber, and W. Fichtner, "VLSI implementation of a high-speed iterative sorted MMSE QR decompositio," 2007 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1421-1424, 2007.
 
 
 
 
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