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Charactering the Pe...
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Wei, PengBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China Tianjin Key Laboratory of Photoelectric Detection Technology and System and the School of Electronics and Information Engineering, Tiangong University, Tianjin, China
(author)
Charactering the Peak-to-Average Power Ratio of OTFS Signals : A Large System Analysis
- Article/chapterEnglish2022
Publisher, publication year, extent ...
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Institute of Electrical and Electronics Engineers (IEEE),2022
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LIBRIS-ID:oai:DiVA.org:kth-313146
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-313146URI
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https://doi.org/10.1109/TWC.2021.3123397DOI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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QC 20220630
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Orthogonal time frequency space (OTFS) system constitutes an effective structure conceived for efficiently utilizing the channel information, which is capable of achieving a promising transmission performance in high-mobility environment. To extract enough channel diversity, a two-dimensional Fourier transformation combined with a pulse shape is designed at the OTFS transmitter. Consequently, the amplitude of OTFS signals may fluctuate drastically, owing to the combined dependency of the OTFS transformation and the pulse shape. To quantify the amplitude fluctuation, we investigate the peak-to-average power ratio (PAPR) of OTFS signals, for a large amount of data in the delay-Doppler domain. We first reveal that when the number of data points approaches to infinity, based on central limit theorems for dependent variables, the complexvalued OTFS signals weakly converge to a Gaussian distribution. Then, according to the extremal theory of the Chi-squared process for stationary OTFS signals, an accurate expression of the PAPR distribution is derived, depending on the transmit pulse and the number of data points. It is also demonstrated that upon modifying the exponential factor, the analytical PAPR expression is applicable for the non-stationary Gaussian distribution caused by the bandlimited pulse with a large roll-off factor. Simulation results confirm the accuracy of the analytical PAPR probability for practical conditions.
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Xiao, YueNational Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
(author)
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Feng, WeiBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
(author)
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Ge, NingBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
(author)
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Xiao, Ming,1975-KTH,Teknisk informationsvetenskap(Swepub:kth)u1iq6n9a
(author)
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Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China Tianjin Key Laboratory of Photoelectric Detection Technology and System and the School of Electronics and Information Engineering, Tiangong University, Tianjin, ChinaNational Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
(creator_code:org_t)
Related titles
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In:IEEE Transactions on Wireless Communications: Institute of Electrical and Electronics Engineers (IEEE)21:6, s. 3705-37201536-12761558-2248
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