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Analysis of Orthogonal Time Frequency Space Transceiver in Baseband Environment

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Security in Computing and Communications (SSCC 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1364))

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Abstract

In this letter, we investigate Orthogonal Time Frequency Space (OTFS) modulation, a newly proposed modulation scheme for emerging wireless communication applications in time-frequency selective channels, from symbol detection perspective. The studies identify the advantages of OTFS performance over OFDM in many aspects, such as data rate increase in high mobility. Another advantage is the sparsity of the channel produced by OTFS that allows using low-complexity algorithms for the detection of the data. We provide the analysis on the baseband OTFS system and then analyze the Message Passing algorithm for OTFS symbol detection. We analyze the effects of damping factor and channel taps on the performance of the system. Simulation results show the error performance of the OTFS system under various channel conditions.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Coimbatore, 641112, India

    Vangara Saiprudhvi & R. Ramanathan

Authors
  1. Vangara Saiprudhvi
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  2. R. Ramanathan
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Corresponding author

Correspondence to Vangara Saiprudhvi .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology and Management - Kerala, Trivandrum, India

    Sabu M. Thampi

  2. Guangzhou University, Guangzhou, China

    Guojun Wang

  3. Howard University, Washington, DC, USA

    Danda B. Rawat

  4. University of Queensland, Brisbane, QLD, Australia

    Ryan Ko

  5. National Sun Yat-sen University, Kaohsiung, Taiwan

    Chun-I Fan

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Saiprudhvi, V., Ramanathan, R. (2021). Analysis of Orthogonal Time Frequency Space Transceiver in Baseband Environment. In: Thampi, S.M., Wang, G., Rawat, D.B., Ko, R., Fan, CI. (eds) Security in Computing and Communications. SSCC 2020. Communications in Computer and Information Science, vol 1364. Springer, Singapore. https://doi.org/10.1007/978-981-16-0422-5_21

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  • DOI: https://doi.org/10.1007/978-981-16-0422-5_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0421-8

  • Online ISBN: 978-981-16-0422-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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