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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電信工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93789
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dc.contributor.advisor林茂昭zh_TW
dc.contributor.advisorMao-Chao Linen
dc.contributor.author陳美如zh_TW
dc.contributor.authorMei-Ru Chenen
dc.date.accessioned2024-08-08T16:13:17Z-
dc.date.available2024-08-09-
dc.date.copyright2024-08-08-
dc.date.issued2024-
dc.date.submitted2024-07-31-
dc.identifier.citation[1] S. R. R. Hadani, S. Kons, M. Tsatsanis,, C. I. A. Monk, J. Delfeld, Y. Hebron,, and A. F. M. A. J. Goldsmith, and R. Calderbank, "Orthogonal Time Frequency Space Modulation," 2018.
[2] S. K. a. S. Deshwala, "A Review on Orthogonal Time Frequency Space Modulation," 2021.
[3] V. S. Cheemala Naveen, "Peak-to-Average Power Ratio reduction in
OTFS modulation using companding technique," 2020.
[4] G. D. Surabhi, R. M. Augustine, and A. Chockalingam, "Peak-to-Average Power Ratio of OTFS Modulation," IEEE Communications Letters, vol. 23, no. 6, pp. 999-1002, 2019, doi: 10.1109/lcomm.2019.2914042.
[5] H. Bitra, P. Ponnusamy, S. Chintagunta, and S. Pragadeshwaran, "Nonlinear companding transforms for reducing the PAPR of OTFS signal," Physical Communication, vol. 53, 2022, doi: 10.1016/j.phycom.2022.101729.
[6] S. Li, W. Yuan, Z. Wei, R. Schober, and G. Caire, "Orthogonal Time Frequency Space Modulation—Part II: Transceiver Designs," IEEE Communications Letters, vol. 27, no. 1, pp. 9-13, 2023, doi: 10.1109/lcomm.2022.3209683.
[7] P. Du and Y. Zhang, "Joint precoding and equalization design for reduced-CP OTFS based on the compact input–output model," Physical Communication, vol. 53, 2022, doi: 10.1016/j.phycom.2022.101748.
[8] S. E. Zegrar and H. Arslan, "A Novel Cyclic Prefix Configuration for Enhanced Reliability and Spectral Efficiency in OTFS Systems," IEEE Wireless Communications Letters, vol. 12, no. 5, pp. 888-892, 2023, doi: 10.1109/lwc.2023.3247893.
[9] P. Raviteja, Y. Hong, E. Viterbo, and E. Biglieri, "Practical Pulse-Shaping Waveforms for Reduced-Cyclic-Prefix OTFS," IEEE Transactions on Vehicular Technology, vol. 68, no. 1, pp. 957-961, 2019, doi: 10.1109/tvt.2018.2878891.
[10] P. Raviteja, K. T. Phan, Y. Hong, and E. Viterbo, "Interference Cancellation and Iterative Detection for Orthogonal Time Frequency Space Modulation," IEEE Transactions on Wireless Communications, vol. 17, no. 10, pp. 6501-6515, 2018, doi: 10.1109/twc.2018.2860011.
[11] A. Farhang, A. RezazadehReyhani, L. E. Doyle, and B. Farhang-Boroujeny, "Low Complexity Modem Structure for OFDM-Based Orthogonal Time Frequency Space Modulation," IEEE Wireless Communications Letters, vol. 7, no. 3, pp. 344-347, 2018, doi: 10.1109/lwc.2017.2776942.
[12] Y. L. Lingjun Li, Pingzhi Fan,Yongliang Guan, "Low Complexity Detection Algorithms for OTFS under Rapidly Time-varying Channel," 2019.
[13] K. R. M. a. A. Chockalingam, "On OTFS Modulation for High-Doppler Fading Channels," 2018.
[14] G. D. Surabhi and A. Chockalingam, "Low-Complexity Linear Equalization for OTFS Modulation," IEEE Communications Letters, vol. 24, no. 2, pp. 330-334, 2020, doi: 10.1109/lcomm.2019.2956709.
[15] S. Tiwari, S. S. Das, and V. Rangamgari, "Low complexity LMMSE Receiver for OTFS," IEEE Communications Letters, vol. 23, no. 12, pp. 2205-2209, 2019, doi: 10.1109/lcomm.2019.2945564.
[16] S. T. Vivek Rangamgari*, Suvra Sekhar Das*, and Subhas Chandra Mondal†, "OTFS_Interleaved OFDM with Block CP," 2020.
[17] Ying-Che Hung and Shang-Ho (Lawrence) Tsai, "PAPR Analysis and Mitigation Algorithms for Beamforming MIMO OFDM Systems," IEEE Transactions on Wireless Communications, vol. 13, no. 5, pp. 2588-2600, 2014, doi: 10.1109/twc.2014.031914.130347.
[18] P. Wei, Y. Xiao, W. Feng, N. Ge, and M. Xiao, "Charactering the Peak-to-Average Power Ratio of OTFS Signals: A Large System Analysis," IEEE Transactions on Wireless Communications, vol. 21, no. 6, pp. 3705-3720, 2022, doi: 10.1109/twc.2021.3123397.
[19] A. Kumar, N. Gaur, S. Chakravarty, and A. Nanthaamornphong, "Reducing the PAPR of OTFS Modulation Using Hybrid PAPR Algorithms," Wireless Personal Communications, vol. 133, no. 4, pp. 2503-2523, 2024, doi: 10.1007/s11277-024-10885-y.
[20] M. N. Hossain, Y. Sugiura, T. Shimamura, and H.-G. Ryu, "DFT-Spread OTFS Communication System with the Reductions of PAPR and Nonlinear Degradation," Wireless Personal Communications, vol. 115, no. 3, pp. 2211-2228, 2020, doi: 10.1007/s11277-020-07678-4.
[21] S. Gao and J. Zheng, "Peak-to-Average Power Ratio Reduction in Pilot-Embedded OTFS Modulation Through Iterative Clipping and Filtering," IEEE Communications Letters, vol. 24, no. 9, pp. 2055-2059, 2020, doi: 10.1109/lcomm.2020.2993036.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93789-
dc.description.abstract正交時頻空間(Orthogonal Time Frequency Space, OTFS)系統對於高速移動無線通信至關重要,能在挑戰性的環境中提供穩健的性能。然而,OTFS系統的一個顯著問題是高峰均功率比(Peak-to-Average Power Ratio, PAPR),這可能導致功率放大器中的非線性失真,並降低整體系統性能。傳統峰均功率比的降低方法,如μ-law 壓縮,雖然有效,但往往會導致位元錯誤率(Bit Error Rate, BER)增加,因此在降低峰均功率比和保持信號品質之間需要做權衡。
本研究探討了窗口技術在OTFS系統中解決高峰均功率比問題的應用。我們探索了三種類型的窗口:多普勒偏移窗口、時間延遲窗口和複合窗口。使用了包括網格搜索和參數推導在內的各種參數選擇方法來評估這些窗口技術的有效性。實驗結果表明,窗口技術顯著降低了峰均功率比,同時保持了可控的位元錯誤率增加。
儘管結果令人鼓舞,我們的研究卻有參數計算複雜度等限制。未來的研究應集中於通過先進的算法來優化窗口參數。此外,將窗口技術與其他峰均功率比減少策略結合,可能會帶來更好的性能改進。
總之,本文提供了一種在OTFS系統中降低峰均功率比的新方法,驗證了窗口技術的有效性,並突出了它們在不顯著增加位元錯誤率的情況下提高高速移動無線通信性能的潛力。
zh_TW
dc.description.abstractOrthogonal Time Frequency Space (OTFS) systems are essential for high-mobility wireless communications, providing robust performance in challenging environments. However, a significant issue in OTFS systems is the high Peak-to-Average Power Ratio (PAPR), which can cause non-linear distortions in power amplifiers and degrade overall system performance. Traditional PAPR reduction methods, such as μ-law companding, while effective, often result in increased Bit Error Rate (BER), presenting a trade-off between reducing PAPR and maintaining signal quality.
This research investigates the application of windowing techniques to address the PAPR problem in OTFS systems. We explored three types of windows: Doppler shift window, time delay window, and complex window. Various parameter selection methods, including grid search and parameters derivation, were employed to evaluate the effectiveness of these windowing techniques. Our experimental results demonstrate that windowing methods significantly reduce PAPR while maintaining a manageable increase in BER.
Despite the promising results, our study acknowledges limitations such as the computational complexity of parameter optimization. Future research should focus on optimizing window parameters through advanced algorithms. Additionally, combining windowing methods with other PAPR reduction strategies could yield even better performance improvements.
In conclusion, this thesis provides a novel approach to PAPR reduction in OTFS systems, validating the effectiveness of windowing techniques and highlighting their potential for enhancing high-mobility wireless communications without significantly increasing BER.
en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-08-08T16:13:16Z
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dc.description.provenanceMade available in DSpace on 2024-08-08T16:13:17Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents口試委員審定書 II
致謝 III
中文摘要 IV
Abstract V
Contents VII
List of figures X
List of tables XII
Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Contribution 1
1.3 Structure of the thesis 3
Chapter 2 Background Knowledge 5
2.1 OTFS system framework 5
2.2 OTFS system transmitter 5
2.3 Cyclic prefix of OTFS signal 8
2.3.1 Full cyclic prefix 9
2.3.2 Reduced cyclic prefix 10
2.4 Channel Response 10
2.5 Equalizer 12
2.6 OTFS receiver 14
2.7 Definition of PAPR 15
2.8 Upper bound of PAPR 16
2.9 CCDF of PAPR 16
2.10 Motivation of PAPR reduction 18
2.11 Traditional PAPR reduction techniques 20
2.11.1 Clipping and Filtering 20
2.11.2 Selective Mapping 21
2.11.3 Active Constellation Extension (ACE) 21
2.11.4 Mu-law companding 22
Chapter 3 Reduce PAPR using purposed window 28
3.1 Windows designed for PAPR reduction 28
3.1.1 Doppler shift window 28
3.1.2 Time delay window 31
3.1.3 Complex window 34
3.2 Parameters selection 37
3.2.1 Random selection method 39
3.2.2 Parameter derivation method for Doppler shift window 41
3.2.3 Grid search method 43
Chapter 4 Numerical Results 46
4.1 Simulations without oversampling 46
4.1.1 Parameter setting in common use 46
4.1.2 Grid search range for Doppler shift window 47
4.1.3 Grid search range for time delay window 49
4.1.4 Grid search range for complex window 51
4.1.5 The simulation result of Doppler shift window 52
4.1.6 The simulation result of Time delay window 59
4.1.7 The simulation result of complex window 63
4.2 Simulations with oversampling 66
4.2.1 Parameter setting in common use 66
4.2.2 Grid search range for Doppler shift window 67
4.2.3 Grid search range for Time delay window 68
4.2.4 Grid search range for complex window 69
4.2.5 The simulation results of windows 70
Chapter 5 Conclusion and future work 75
5.1 Conclusion 75
5.2 Future work 75
Reference 77
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dc.language.isoen-
dc.subject窗口技術zh_TW
dc.subjectμ-law 壓縮zh_TW
dc.subject位元錯誤率zh_TW
dc.subject峰均功率比zh_TW
dc.subject正交時頻空間系統zh_TW
dc.subjectOrthogonal Time Frequency Space (OTFS) systemsen
dc.subjectWindowing techniquesen
dc.subjectμ-law compandingen
dc.subjectBit Error Rate (BER)en
dc.subjectPeak-to-Average Power Ratio (PAPR)en
dc.titleOTFS 系統中降低功率峰均比的研究zh_TW
dc.titleStudy on the PAPR Reduction for the OTFS Systemen
dc.typeThesis-
dc.date.schoolyear112-2-
dc.description.degree碩士-
dc.contributor.coadvisor李晃昌zh_TW
dc.contributor.coadvisorHuang-Chang Leeen
dc.contributor.oralexamcommittee蘇育德;趙啟超;呂忠津zh_TW
dc.contributor.oralexamcommitteeYu-Te Su;Chi-Chao Chao;Chung-Chin Luen
dc.subject.keyword正交時頻空間系統,峰均功率比,位元錯誤率,μ-law 壓縮,窗口技術,zh_TW
dc.subject.keywordOrthogonal Time Frequency Space (OTFS) systems,Peak-to-Average Power Ratio (PAPR),Bit Error Rate (BER),μ-law companding,Windowing techniques,en
dc.relation.page78-
dc.identifier.doi10.6342/NTU202402900-
dc.rights.note同意授權(全球公開)-
dc.date.accepted2024-08-02-
dc.contributor.author-college電機資訊學院-
dc.contributor.author-dept電信工程學研究所-
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