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Peak-to-Average Power Ratio Reduction via Symbol Precoding in OTFS Modulation | IEEE Conference Publication | IEEE Xplore

Peak-to-Average Power Ratio Reduction via Symbol Precoding in OTFS Modulation


Abstract:

Orthogonal time frequency space (OTFS) has recently attracted widespread attention for it leverages frequency dispersion as a source of diversity and mathematically unifi...Show More

Abstract:

Orthogonal time frequency space (OTFS) has recently attracted widespread attention for it leverages frequency dispersion as a source of diversity and mathematically unifies the classical multiple-access schemes. However, as a multi-carrier modulation in nature, OTFS is susceptible to the problem of high peak-to-average power ratio (PAPR), especially when the number of symbols is large in order to obtain a high Doppler resolution at the receiver. In this work, we recast the problem of PAPR reduction as constrained optimization of the precoding matrix. To efficiently solve the underlying nonconvex maximum-norm minimization problem, we propose an iterative algorithm based on block coordinate descent. Simulation results show that the proposed method can significantly mitigate the PAPR without unduly compromising the reliability of data transmission.
Date of Conference: 19-22 June 2022
Date Added to IEEE Xplore: 25 August 2022
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Conference Location: Helsinki, Finland

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Citations are not available for this document.

I. Introduction

AIR interface in the next-generation wireless networks is expected to offer higher flexibility and suit a broader variety of deployment environments for emerging mobile services. To satisfy the distinctly different performance requirements of diverse usage scenarios, specifically enhanced redesign of the physical-layer modulation technique is imperative. High mobility represents one particularly important yet challenging use case to support, as the demand for mobile services in vehicles and high-speed trains is growing rapidly, while the present mainstream waveforms such as orthogonal frequency division multiplexing (OFDM) exhibit severe performance degradation in highly dynamic channel conditions [1]. Orthogonal time frequency space (OTFS), a recently proposed two-dimensional (2D) multi-carrier modulation technique [2], is recognized as a promising candidate for future high-mobility integrated sensing and communication. [3],[4]. In contrast to OFDM, OTFS implements channel representation and symbol multiplexing in the transformed delay-Doppler domain (a.k.a. Zak domain) instead of time-frequency (TF) domain. By spreading the basis waveform over the entire TF plane, OTFS effectively converts the time-varying fading channel into an invariant flat fading equivalence and, thereby, achieves improved reliability in Doppler/multipath channel conditions [5]–[7].

Cites in Papers - |

Cites in Papers - IEEE (4)

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1.
Gerges Mansour Salama, Amira A. Mohamed, Aziza I. Hussein, M. Mourad Mabrook, "A Novel PAPR in OTFS Systems Through ISSA-PTS and ISPR Techniques", IEEE Access, vol.12, pp.172429-172438, 2024.
2.
Hanumantharao Bitra, Alajangi Guna Sekhar, "Error Function Based Companding Transform for Reduction of PAPR in OTFS Signal", 2024 IEEE Symposium on Wireless Technology & Applications (ISWTA), pp.103-107, 2024.
3.
Jurong Bai, Baihan Lin, Xiaofang Tao, "Improved PAPR Reduction Algorithm for OTFS Systems", 2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), pp.1-6, 2023.
4.
Yusuf Islam Tek, Ertugrul Basar, "PAPR Reduction Precoding for Orthogonal Time Frequency Space Modulation", 2023 46th International Conference on Telecommunications and Signal Processing (TSP), pp.172-176, 2023.

Cites in Papers - Other Publishers (5)

1.
"References", OTFS Modulation ‐ Theory and Applications, pp.403, 2024.
2.
Aare Gopal, Desireddy Krishna Reddy, "Hadamard and Riemann Matrix‐Based SLM for PAPR Reduction in OTFS Signal", Internet Technology Letters, 2024.
3.
Shengheng Liu, Han Zhang, Lei Li, Zhihan Gong, Yongming Huang, Jinhong Yuan, "Super-resolution delay-Doppler estimation for OTFS-based automotive radar", Signal Processing, pp.109596, 2024.
4.
Hanumantharao Bitra , Niranjan Raj , " OTFS: PAPR reduction using nonlinear companding transform ", International Journal of Electronics Letters , 2023 .
5.
Ozan Onur Celik, T. Engin Tuncer, "MIMO Radar Beampattern Design by Using Phased-Costas Waveforms with PAR Constraints Employing a Generalized Ambiguity Function", Digital Signal Processing, pp.103948, 2023.
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References

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