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Artículos de revistas sobre el tema "Modulation OTFS"

Autor: Grafiati

Publicado: 30 de noviembre de 2024

Última modificación: 31 de julio de 2025

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1

Siluveru, Mounika, Dharavath Nanda, and RadhaKrishna Karne. "Study and Analysis of OTFS and OFDM." Journal of Artificial Intelligence, Machine Learning and Neural Network, no. 26 (November 29, 2022): 13–23. http://dx.doi.org/10.55529/jaimlnn.26.13.23.

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High mobility wireless communication systems have been proposed to be robust to channel-induced Doppler shift using Orthogonal Time Frequency Space (OTFS) modulation. The OTFS modulation technique is described in this paper. In addition to being in the delay-Doppler (DD) domain, OTFS has a unique and important feature. The OTFS modulation offers maximum diversity over frequency and time when coupled with an equalizer. This technique converts fading, time-varying wireless channels into time-independent, non-fading interactions that reveal their underlying geometry. Even in challenging 5G deploy

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2

Mohammadi, Abderrahim, Aziz Dkiouak, Mostafa Baghouri, Saad Chakkor, Ahmed EL Oualkadi, and Anass El Mamouni. "EVALUATING OTFS MODULATION FOR 6G: IMPACT OF HIGH MOBILITY AND ENVIRONMENTAL NOISE." International journal of Computer Networks & Communications 17, no. 3 (2025): 39–56. https://doi.org/10.5121/ijcnc.2025.17303.

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Orthogonal Time-frequency-space (OTFS) modulation represents a pioneering advancement tailored to the requirements of prospective sixth-generation (6G) wireless networks. The innovative design effectively addresses the challenges associated with high-frequency dispersion in wireless transmission environments, offering many advantages over traditional modulation schemes such as orthogonal frequency-division multiplexing (OFDM). OTFS stands out due to its capacity to adapt to dynamic wireless channels with high Delay-Doppler (DD) dispersion, a capability that is not present in traditional framew

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3

Ren, Huarong, Weikai Xu, and Lin Wang. "Multiple-Mode Orthogonal Time Frequency Space with Index Modulation." Electronics 11, no. 16 (2022): 2600. http://dx.doi.org/10.3390/electronics11162600.

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Recently, orthogonal time frequency space modulation with index modulation (OTFS-IM) has been proposed to improve the bit-error-rate (BER) performance of the OTFS system. However, only some of the grids in the OTFS-IM system are activated, resulting in low spectral efficiency (SE). In order to solve this problem, a new scheme called multiple-mode OTFS-IM (MM-OTFS-IM) is proposed in this paper. In the proposed scheme, all grids are activated to transmit modulation bits. Each grid in the subblock adopts a different modulation mode, and the index bits are transmitted implicitly by the combination

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4

Ramadhan, Ali J., and Ali TaeiZadeh. "The Orthogonal Time Frequency Space (OTFS) Technique In 6G Wireless Communications." BIO Web of Conferences 97 (2024): 00128. http://dx.doi.org/10.1051/bioconf/20249700128.

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The orthogonal time-frequency space (OTFS) technique is a potential waveform modulation method that modulates data in the delaydoppler (DD) domain. OTFS differs from traditional multiplexing techniques by utilizing two-dimensional modulation to switch between the time-frequency (TF) domain and the delay-Doppler domain. This allows for handling Doppler shifts caused by fast-moving objects, a capability lacking in traditional modulation techniques like orthogonal frequency division multiplexing (OFDM). The primary goal of this paper is to offer an overview and short survey of this new topic, hig

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5

Raviteja, P., Yi Hong, Emanuele Viterbo, and Ezio Biglieri. "Effective Diversity of OTFS Modulation." IEEE Wireless Communications Letters 9, no. 2 (2020): 249–53. http://dx.doi.org/10.1109/lwc.2019.2951758.

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6

K., Sangeetha, Vishnuvardhan Reddy Goli, Jahnavi Korasiga, and Navya Medi. "Comparative BER Analysis of 5G and Beyond-5G Modulations for High-Speed Vehicular Communication." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 2 (2024): 5. https://doi.org/10.5281/zenodo.10725560.

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The orthogonal time-frequency-space modulation technique proves to be a promising modulation scheme for beyond-5G communication systems. Its notable advantage lies in achieving a low bit error rate in the delay Doppler region, which is a significant improvement over traditional 5G OFDM systems that are prone to problems such as high BER and multipath fading. Our research focuses on modeling BER for OFDM and OTFS with the aim of conducting a comprehensive comparison of their performance. Our results show that OTFS consistently exhibits reduced BER in contrast to standard OFDM systems. This show

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7

Guo, Xiaopeng, Biao Wang, Yunan Zhu, Zide Fang, and Zhaoyue Han. "Hamming Distance Optimized Underwater Acoustic OTFS-IM Systems." Entropy 25, no. 7 (2023): 972. http://dx.doi.org/10.3390/e25070972.

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The orthogonal time frequency space (OTFS) modulation technique can provide reliable communication in time-varying channels. Due to the dispersive characteristics of underwater acoustic channels, this paper proposes an OTFS-IM underwater acoustic communication system based on Hamming distance optimization to reduce the impact of dispersion in underwater acoustic communication. Firstly, the OTFS-IM underwater acoustic communication system is introduced, which introduces index modulation into the Delay–Doppler (DD) domain to make the OTFS system have stronger anti-Delay–Doppler capability. In co

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8

Lian, Dianbin, Yan Gao, and Jie Lian. "Cross-Water–Air Optical Wireless Communication Using Orthogonal Time–Frequency Space Modulation." Symmetry 16, no. 5 (2024): 571. http://dx.doi.org/10.3390/sym16050571.

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This paper examines the communication difficulties encountered in cross-media wireless optical transmission through simulated research on the utilization of orthogonal time and frequency space (OTFS) modulation technology. Our analysis and comparison demonstrate that OTFS significantly improves the reliability and throughput of data transmission in intricate multipath channel settings. In contrast to conventional orthogonal frequency division multiplexing (OFDM) technology, OTFS displays better resilience and transmission effectiveness. We foresee additional enhancements and progress in OTFS t

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9

Xue, Yukang, and Yahong R. Zheng. "Orthogonal time-frequency space (OTFS) modulation for underwater mobile acoustic communications." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A249. http://dx.doi.org/10.1121/10.0023445.

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This paper investigates the Orthogonal Time-Frequency Space (OTFS) Modulation for Underwater Mobile Acoustic Communications where the communication channel suffers from severe multipath and Doppler effects simultaneously. Practical OTFS modulation schemes with different parameters are designed for acoustic transmission at a center frequency of 115 kHz and a bandwidth of 11.5 kHz. The schemes are tested in lake experiments where the transmitter was anchored and the receiver was towed by a boat at a speed of approximately 1 m/s or 3.6 km/h. The receiver utilizes low-complexity channel estimation

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10

Okoyeigbo, Obinna, Xutao Deng, Agbotiname Lucky Imoize, and Olamilekan Shobayo. "OTFS: A Potential Waveform for Space–Air–Ground Integrated Networks in 6G and Beyond." Telecom 6, no. 1 (2025): 19. https://doi.org/10.3390/telecom6010019.

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6G is expected to provide ubiquitous connectivity, particularly in remote and inaccessible environments, by integrating satellite and aerial networks with existing terrestrial networks, forming Space–Air–Ground Integrated Networks (SAGINs). These networks, comprising satellites, unmanned aerial vehicles (UAVs), and high-speed terrestrial networks, introduce severe Doppler effects due to high mobility. Traditional modulation techniques like Orthogonal Frequency Division Multiplexing (OFDM) struggle to maintain reliable communication under such conditions. This paper investigates Orthogonal Time

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11

Liu, Zhenkai, Bibo Zhang, Hao Luo, and Hao He. "Differentiated Embedded Pilot Assisted Automatic Modulation Classification for OTFS System: A Multi-Domain Fusion Approach." Sensors 25, no. 14 (2025): 4393. https://doi.org/10.3390/s25144393.

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Orthogonal time–frequency space (OTFS) modulation has emerged as a promising technology to alleviate the effects of the Doppler shifts in high-mobility environments. As a prerequisite to demodulation and signal processing, automatic modulation classification (AMC) is essential for OTFS systems. However, a very limited number of works have focused on this issue. In this paper, we propose a novel AMC approach for OTFS systems. We build a dual-stream convolutional neural network (CNN) model to simultaneously capture multi-domain signal features, which substantially enhances recognition accuracy.

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12

Mohammadi, Abderrahim, Saad Chakkor, Ahmed El Oualkadi, Mohamed Moussaoui, Aziz Dkiouak, and Mostafa Baghouri. "Performance Evaluation of OTFS and OFDM for 6G Waveform." ITM Web of Conferences 48 (2022): 01015. http://dx.doi.org/10.1051/itmconf/20224801015.

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Orthogonal time frequency space (OTFS) modulation is a coming technique addressing the challenges of 5G and 6G. It’s appeared to bring about outstanding error performance in delay – Doppler (DeDo) channels. Still, a really fair comparison with its competitor's direct orthogonal frequency division multiplexing and is extensively used in this participation, we will make a comparison of the performance of OTFS and OFDM with the digital modulation format in terms of bit error rate (BER) versus signal-to-noise rate (SNR) for the 16- QAM technique. From the numerical simulations under MATLAB, the re

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13

Zhang, Ji, Leqi Cai, and Huanyou Liu. "Integrated Sensing and Communication via Orthogonal Time Frequency Space Signaling with Hybrid Message Passing Detection and Fractional Parameter Estimation." Sensors 23, no. 24 (2023): 9874. http://dx.doi.org/10.3390/s23249874.

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For the orthogonal time frequency space (OTFS) modulation, we generally multiplex symbols on a new type of carrier waveform in the delay-Doppler (DD) domain. These two parameters can be used to infer the range (R) and velocity (V) of the communication user and sensing target; thus, it is natural for the OTFS to be implemented in integrated sensing and communication (ISAC). A framework for ISAC based on OTFS modulation is proposed in this paper, in which the matched filter scheme with fractional parameter estimation is implemented for radar sensing. In addition, the hybrid message passing (MP)

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14

Xue, Yukang, Xiyuan Zhu, and Y. Rosa Zheng. "Orthogonal time-frequency space modulation for underwater mobile acoustic communications." Journal of the Acoustical Society of America 157, no. 2 (2025): 1378–90. https://doi.org/10.1121/10.0035938.

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This paper presents a new turbo decision feedback equalizer and decoder (TDFED) for the orthogonal time-frequency space (OTFS) system of underwater mobile acoustic communications where the communication channel suffers from severe multipath and Doppler effects simultaneously. The proposed TDFED employs a set of feedforward and feedback filters in the time domain instead of the common approach that employs a normalized least mean square equalizer in the delay-Doppler domain. The receiver also utilizes low-complexity improved proportionate normalized least mean square channel estimation in the d

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15

Zhang, Mi, Xiaochen Xia, Kui Xu, et al. "A Structured Sparse Bayesian Channel Estimation Approach for Orthogonal Time—Frequency Space Modulation." Entropy 25, no. 5 (2023): 761. http://dx.doi.org/10.3390/e25050761.

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Orthogonal time–frequency space (OTFS) modulation has been advocated as a promising waveform for achieving integrated sensing and communication (ISAC) due to its superiority in high-mobility adaptability and spectral efficiency. In OTFS modulation-based ISAC systems, accurate channel acquisition is critical for both communication reception and sensing parameter estimation. However, the existence of the fractional Doppler frequency shift spreads the effective channels of the OTFS signal significantly, making efficient channel acquisition very challenging. In this paper, we first derive the spar

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16

Liang, Wei, Xuan Liu, Jia Shi, Lixin Li, and Junfan Hu. "Underlying Security Transmission Design for Orthogonal Time Frequency Space (OTFS) Modulation." Sensors 22, no. 20 (2022): 7919. http://dx.doi.org/10.3390/s22207919.

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With the aim of ensuring secure transmission in high-mobility wireless scenarios, this paper proposes a 2D permutation-aided Orthogonal Time Frequency Space (OTFS) secure transmission scheme, which uses the Gosudarstvennyi Standard (GOST) algorithm to perform disturbance control on the OTFS modulation domain. Furthermore, we develop an improved SeLective Mapping (SLM) algorithm, which can significantly improve the Peak-to-Average Power Ratio (PAPR) problem with very low complexity. In addition, we carry out the security analysis, investigating the proposed scheme’s resistance performance to a

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17

Lampel, Franz, Hamdi Joudeh, Alex Alvarado, and Frans M. J. Willems. "Orthogonal Time Frequency Space Modulation Based on the Discrete Zak Transform." Entropy 24, no. 12 (2022): 1704. http://dx.doi.org/10.3390/e24121704.

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In orthogonal time frequency space (OTFS) modulation, information-carrying symbols reside in the delay-Doppler (DD) domain. By operating in the DD domain, an appealing property for communication arises: time-frequency (TF) dispersive channels encountered in high-mobility environments become time-invariant. OTFS outperforms orthogonal frequency division multiplexing (OFDM) in high-mobility scenarios, making it an ideal waveform candidate for 6G. Generally, OTFS is considered a pre- and postprocessing step for OFDM. However, the so-called Zak transform provides the fundamental relation between t

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18

Wang, Siqiang, Jing Guo, Xinyi Wang, Weijie Yuan, and Zesong Fei. "Pilot Design and Optimization for OTFS Modulation." IEEE Wireless Communications Letters 10, no. 8 (2021): 1742–46. http://dx.doi.org/10.1109/lwc.2021.3078527.

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19

Mohammed, Saif Khan. "Derivation of OTFS Modulation From First Principles." IEEE Transactions on Vehicular Technology 70, no. 8 (2021): 7619–36. http://dx.doi.org/10.1109/tvt.2021.3069913.

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20

Surabhi, G. D., and A. Chockalingam. "Low-Complexity Linear Equalization for OTFS Modulation." IEEE Communications Letters 24, no. 2 (2020): 330–34. http://dx.doi.org/10.1109/lcomm.2019.2956709.

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21

Liu, Lei, Chao Ma, Yong Duan, Xinyu Liu, and Xin Qing. "Channel Estimation and Iterative Decoding for Underwater Acoustic OTFS Communication Systems." Journal of Marine Science and Engineering 12, no. 9 (2024): 1559. http://dx.doi.org/10.3390/jmse12091559.

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Orthogonal Time–Frequency Space (OTFS) is an innovative modulation method that ensures efficient and secure communication over a time-varying channel. This characteristic inspired us to integrate OTFS technology with underwater acoustic (UWA) communications to counteract the time-varying and overspread characteristics of UWA channels. However, implementing OTFS in UWA communications presents challenges related to overspread channels. To handle these challenges, we introduce a specialized OTFS system and offer frame design recommendations for UWA communications in this article. We propose a Dop

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22

Mohamed, Ehab Mahmoud, Hany S. Hussein, Mohammad Ahmed Alnakhli, and Sherief Hashima. "OTFS-Based Handover Triggering in UAV Networks." Drones 9, no. 3 (2025): 185. https://doi.org/10.3390/drones9030185.

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In this paper, delay Doppler (DD) domain is utilized for enabling an efficient handover-triggering mechanism in highly dynamic unmanned aerial vehicles (UAVs) or drones to ground networks. In the proposed scheme, the estimated DD channel gains using DD multi-carrier modulation (DDMC), e.g., orthogonal time frequency space (OTFS) modulation, are utilized for triggering the handover decisions. This is motivated by the fact that the estimated DD channel gain is time-invariant throughout the whole OTFS symbol despite the entity speed. This results in more stable handover decisions over that based

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23

Li, Shuangyang, Weijie Yuan, Zhiqiang Wei, et al. "Hybrid MAP and PIC Detection for OTFS Modulation." IEEE Transactions on Vehicular Technology 70, no. 7 (2021): 7193–98. http://dx.doi.org/10.1109/tvt.2021.3083181.

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24

Surabhi, G. D., Rose Mary Augustine, and Ananthanarayanan Chockalingam. "Peak-to-Average Power Ratio of OTFS Modulation." IEEE Communications Letters 23, no. 6 (2019): 999–1002. http://dx.doi.org/10.1109/lcomm.2019.2914042.

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25

Shang, Huichao, Ruifeng Chen, Haoxiang Zhang, et al. "OTFS modulation and PAPR reduction for IoT-railways." China Communications 20, no. 1 (2023): 102–13. http://dx.doi.org/10.23919/jcc.2023.01.009.

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26

Zhang, Yuzhi, Shumin Zhang, Bin Wang, Yang Liu, Weigang Bai, and Xiaohong Shen. "Deep Learning-Based Signal Detection for Underwater Acoustic OTFS Communication." Journal of Marine Science and Engineering 10, no. 12 (2022): 1920. http://dx.doi.org/10.3390/jmse10121920.

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Orthogonal time frequency space (OTFS) is a novel two-dimensional (2D) modulation technique that provides reliable communications over time- and frequency-selective channels. In underwater acoustic (UWA) channel, the multi-path delay and Doppler shift are several magnitudes larger than wireless radio communication, which will cause severe time- and frequency-selective fading. The receiver has to recover the distorted OTFS signal with inter-symbol interference (ISI) and inter-carrier interference (ICI). The conventional UWA OTFS receivers perform channel estimation explicitly and equalization t

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27

Kulaç, Selman, and Müjdat Şahin. "Bit Error Rate Performance Improvement for Orthogonal Time Frequency Space Modulation with a Selective Decode-and-Forward Cooperative Communication Scenario in an Internet of Vehicles System." Sensors 24, no. 16 (2024): 5324. http://dx.doi.org/10.3390/s24165324.

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Orthogonal time frequency space (OTFS) modulation has recently found its place in the literature as a much more effective waveform in time-varying channels. It is anticipated that OTFS will be widely used in the communications of smart vehicles, especially those considered within the scope of Internet of Things (IoT). There are efforts to obtain customized traditional point-to-point single-input single-output (SISO)-OTFS studies in the literature, but their BER performance seems a bit low. It is possible to use cooperative communications in order improve BER performance, but it is noticeable t

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28

Yuan, Xingfang, Hongxia Miao, Peng Yin, Yiwei Liu, and Yuntang Wang. "An Adaptive Channel Estimation Algorithm for Massive-MIMO OTFS." Journal of Physics: Conference Series 2999, no. 1 (2025): 012060. https://doi.org/10.1088/1742-6596/2999/1/012060.

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Abstract Orthogonal Time Frequency Space (OTFS) modulation has emerged as a significant focus of highly dynamic wireless communication, for which the channel estimation is a main challenge. Using the sparsity of Massive Multiple Input Multiple Output (Massive MIMO) OTFS channel in delay-Doppler-angular domain, a compressed sensing based method is proposed in this study, called as adaptive structural orthogonal matching pursuit (ASOMP). The MIMO-OTFS channel estimation problem is modeled as a sparse signal recovery task. By designing an adaptive angular domain supports selection method based on

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29

Maršálek, Roman, Radim Zedka, Erich Zöchmann, et al. "Persistent Homology Approach for Human Presence Detection from 60 GHz OTFS Transmissions." Sensors 23, no. 4 (2023): 2224. http://dx.doi.org/10.3390/s23042224.

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Orthogonal Time Frequency Space (OTFS) is a new, promising modulation waveform candidate for the next-generation integrated sensing and communication (ISaC) systems, providing environment-awareness capabilities together with high-speed wireless data communications. This paper presents the original results of OTFS-based person monitoring measurements in the 60 GHz millimeter-wave frequency band under realistic conditions, without the assumption of an integer ratio between the actual delays and Doppler shifts of the reflected components and the corresponding resolution of the OTFS grid. As the m

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30

S Bhat, Vighnesh, Surabhi Garudanagiri Dayanand, and Ananthanarayanan Chockalingam. "Performance Analysis of OTFS Modulation With Receive Antenna Selection." IEEE Transactions on Vehicular Technology 70, no. 4 (2021): 3382–95. http://dx.doi.org/10.1109/tvt.2021.3063546.

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31

ZHANG, Yang, Qunfei ZHANG, Yingjie WANG, Chengbing HE, and Wentao SHI. "A low-complexity orthogonal time frequency space modulation method for underwater acoustic communication." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 5 (2021): 954–61. http://dx.doi.org/10.1051/jnwpu/20213950954.

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Compared with the orthogonal frequency division multiplexing (OFDM) modulation, the orthogonal time frequency space(OTFS) modulation has a lower peak-to-average power ratio. It can effectively resist the time selective fading caused by the Doppler effect and has significant performance advantages over doubly dispersive channels. However, the conventional OTFS linear minimum mean square error (LMMSE) method has a high complexity and is not easy to process in real time. In order to solve this problem, we propose a low-complexity equalization algorithm with infinite norm constraints based on the

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32

Jing, Lianyou, Qingsong Wang, Qiulong Yang, et al. "Multi-directional decision feedback equalization for orthogonal time frequency space underwater acoustic communication system." Journal of the Acoustical Society of America 157, no. 4 (2025): 2657–70. https://doi.org/10.1121/10.0036370.

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Orthogonal time frequency space (OTFS) modulation is widely recognized for its superior performance in time-varying channels, making it particularly effective in rapidly changing underwater acoustic (UWA) environments. This paper introduces a two-dimensional (2D) adaptive multichannel decision feedback equalization (DFE) technique with a multi-directional structure, specifically designed for OTFS-based UWA communication system. Two distinct multi-directional architectures are designed, each capitalizing on the 2D modulation characteristics of OTFS to mitigate error propagation across different

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33

An, Changyoung, and Heung-Gyoon Ryu. "Design and Performance Evaluation of OTFS Modulation System using 2D iDFT and DFT." Journal of the Institute of Electronics and Information Engineers 54, no. 9 (2017): 14–20. http://dx.doi.org/10.5573/ieie.2017.54.9.14.

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34

Zhang, Mintao, Zhiying Liu, Li Wang, Wenquan Hu, and Chaojin Qing. "Enhanced Channel Estimation for RIS-Assisted OTFS Systems by Introducing ELM Network." Sensors 25, no. 11 (2025): 3292. https://doi.org/10.3390/s25113292.

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In high-mobility communication scenarios, leveraging reconfigurable intelligent surfaces (RISs) to assist orthogonal time frequency space (OTFS) systems proves advantageous. Nevertheless, the integration of RIS into OTFS systems increases the complexity of channel estimation (CE). Utilizing the benefits of machine learning (ML) to address such intricate issues holds the potential to reduce CE complexity. Despite this potential, there is a lack of investigations of ML-based CE in RIS-assisted OTFS systems, leaving significant gaps and posing challenges for intelligent applications. Moreover, ML

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35

Ju, Renjie, Yangyanhao Guo, Xiaojuan Hou, et al. "Multi-Pilot Channel Estimation for Orthogonal Time–Frequency Space Systems Based on Constant-Amplitude Zero-Autocorrelation Sequences." Sensors 24, no. 23 (2024): 7588. http://dx.doi.org/10.3390/s24237588.

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Future communication systems must support high-speed mobile scenarios, while the mainstream Orthogonal Frequency Division Multiplexing (OFDM) technology faces severe inter-carrier interference in such environments. Therefore, the adoption of Orthogonal Time–Frequency Space (OTFS) modulation in 6G systems is an effective solution. The widely used single-pilot channel estimation in OTFS systems is susceptible to path loss and inaccurate fading coefficient estimation, leading to reduced estimation accuracy, signal distortion, and degraded overall system communication quality. To address this prob

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36

Sârbu, Annamaria, Dorin Alexandrescu, and Cornelia Galben. "Prospects of Troposcatter Systems in Military Communication Networks." International conference KNOWLEDGE-BASED ORGANIZATION 31, no. 3 (2025): 142–48. https://doi.org/10.2478/kbo-2025-0090.

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Abstract In modern military operations, ensuring resilient and secure communications in contested or infrastructure-deficient environments remains a strategic priority. Tropospheric scatter systems (troposcatter) are regaining attention due to their ability to provide beyond-line-of-sight (BLOS) connectivity without relying on satellites or terrestrial infrastructure. This paper explores the role of troposcatter systems in military communication networks, presents the current capabilities of troposcatter systems and provides insights into advancements of this technology such as adaptive beamfo

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37

Zhao, Hang, Dongxuan He, Ziqi Kang, and Hua Wang. "Orthogonal Time Frequency Space (OTFS) With Dual-Mode Index Modulation." IEEE Wireless Communications Letters 10, no. 5 (2021): 991–95. http://dx.doi.org/10.1109/lwc.2021.3053981.

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38

Zhang, Yang, Qunfei Zhang, Chengbing He, Yi Zhou, and Lianyou Jing. "Delay-Doppler domain decision feedback turbo equalization for OTFS modulation." Physical Communication 52 (June 2022): 101699. http://dx.doi.org/10.1016/j.phycom.2022.101699.

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39

Ramachandran, M. K., G. D. Surabhi, and A. Chockalingam. "OTFS: A New Modulation Scheme for High-Mobility Use Cases." Journal of the Indian Institute of Science 100, no. 2 (2020): 315–36. http://dx.doi.org/10.1007/s41745-020-00167-4.

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40

Suresh, Ch, Pesala Venkata Sai Ganesh, Suram Naga Mukesh Reddy, and Pambakula Manohar. "EFFICIENT VLSI ARCHITECTURE FOR OTFS MODULATION WITH ZERO-FORCING EQUALIZATION." Journal of Science Engineering Technology and Management Sciences 2, no. 4 (2025): 151–57. https://doi.org/10.63590/jsetms.2025.v02.i04.pp151-157.

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41

Zhang, Yuzhi, Shumin Zhang, Yang Wang, Qingyuan Liu, and Xiangxiang Li. "Model-Driven Deep-Learning-Based Underwater Acoustic OTFS Channel Estimation." Journal of Marine Science and Engineering 11, no. 8 (2023): 1537. http://dx.doi.org/10.3390/jmse11081537.

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Accurate channel estimation is the fundamental requirement for recovering underwater acoustic orthogonal time–frequency space (OTFS) modulation signals. As the Doppler effect in the underwater acoustic channel is much more severe than that in the radio channel, the channel information usually cannot strictly meet the compressed sensing sparsity assumption in the orthogonal matching pursuit channel estimation algorithm. This deviation ultimately leads to a degradation in system performance. This paper proposes a novel approach for OTFS channel estimation in underwater acoustic communications, u

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42

Li, Lintao, Pu Wang, Dexing Zhan, Hua Li, and Jiayi Lv. "Jamming Detection and Suppression Technique for OTFS Systems in an AWGN Channel." Electronics 14, no. 7 (2025): 1286. https://doi.org/10.3390/electronics14071286.

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Orthogonal time frequency space (OTFS) modulation is a promising waveform for future wireless communication, offering robustness against time-varying channels and Doppler effects in high-mobility scenarios. However, the anti-jamming capabilities of OTFS systems remain underexplored, leaving gaps in understanding their potential in jamming-prone environments. In this work, we mainly focus on the jamming detection and suppression methods for OTFS systems in additive an white Gaussian noise (AWGN) channel. A frequency-domain anti-jamming technique is presented, employing a time-domain overlapping

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43

Surabhi, G. D., Rose Mary Augustine, and A. Chockalingam. "On the Diversity of Uncoded OTFS Modulation in Doubly-Dispersive Channels." IEEE Transactions on Wireless Communications 18, no. 6 (2019): 3049–63. http://dx.doi.org/10.1109/twc.2019.2909205.

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44

Shi, Jia, Xinyang Hu, Zhuangzhuang Tie, Xuankai Chen, Wei Liang, and Zan Li. "Reliability performance analysis for OTFS modulation based integrated sensing and communication." Digital Signal Processing 144 (January 2024): 104280. http://dx.doi.org/10.1016/j.dsp.2023.104280.

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45

Sun, Teng, Jiebiao Lv, and Tao Zhou. "A Transformer-Based Channel Estimation Method for OTFS Systems." Entropy 25, no. 10 (2023): 1423. http://dx.doi.org/10.3390/e25101423.

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Orthogonal time frequency space (OTFS) is a novel modulation scheme that enables reliable communication in high-mobility environments. In this paper, we propose a Transformer-based channel estimation method for OTFS systems. Initially, the threshold method is utilized to obtain preliminary channel estimation results. To further enhance the channel estimation, we leverage the inherent temporal correlation between channels, and a new method of channel response prediction is performed. To enhance the accuracy of the preliminary results, we utilize a specialized Transformer neural network designed

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46

Gu, Peng, Lin Guo, Shen Jin, Guangzu Liu, and Jun Zou. "OTFS-IM Modulation Based on Four-Dimensional Spherical Code in Air-to-Ground Communication." Drones 7, no. 10 (2023): 631. http://dx.doi.org/10.3390/drones7100631.

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Unmanned aerial vehicles (UAVs) have been widely utilized for their various advantages. However, UAVs exhibit high mobility and energy storage restrictions in some applications, which can compromise the quality and reliability of communication links. This is a challenge that future aircraft and low-orbit aircraft will inevitably encounter. To effectively address the issue of dynamic Doppler spread in air-to-ground communication, this paper creatively introduces four-dimensional spherical code modulation into the orthogonal time–frequency space with an index modulation (OTFS-IM) system. The fun

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47

Sun, Meng, Qi Zhang, Haipeng Yao, et al. "Iterative Maximum Ratio Combining Detector for Satellite Multiple-Input Multiple-Output/Orthogonal Time–Frequency Space Systems Based on Soft-Symbol Interference Cancelation." Electronics 14, no. 3 (2025): 521. https://doi.org/10.3390/electronics14030521.

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Orthogonal time–frequency space (OTFS) modulation combined with massive multiple-input multiple-output (MIMO) can simultaneously address the problems caused by multipath delay, the Doppler effect, and channel fading. To mitigate inter-subcarrier and inter-symbol interference in satellite–terrestrial MIMO-OTFS systems, an iterative maximum ratio combining detection algorithm based on hard-decision interference cancelation (ICH-IMRC) is proposed. The signal detection is iterated by performing MRC on the interference-canceled received symbols. To mitigate the error spread in the interference canc

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48

Zheng, Yuanbing, Jizhe Wang, Jian Wang, et al. "GAMP-Based Low-Complexity Sparse Bayesian Learning Channel Estimation for OTFS Systems in V2X Scenarios." Electronics 12, no. 23 (2023): 4722. http://dx.doi.org/10.3390/electronics12234722.

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Vehicle to everything (V2X) is widely regarded as a critical application for future wireless communication networks. In V2X, large relative speeds between vehicles may severely deteriorate the performance of communication between vehicles. Orthogonal time frequency space (OTFS) modulation, which converts time- and frequency-selective channels into non-selective channels in the delay-Doppler (DD) domain, provides a solution for establishing reliable wireless communications in V2X scenarios. However, in the complex multi-scattering scenarios, the channel also suffers from a serious inter-Doppler

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49

Go, Youngbin, and Jeongchang Kim. "Performance Evaluation of Symbol Mapping Method for Index Modulation Spread Spectrum Scheme under OTFS System." JOURNAL OF BROADCAST ENGINEERING 29, no. 6 (2024): 964–71. https://doi.org/10.5909/jbe.2024.29.6.964.

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50

Zhang, Haojian, and Tingting Zhang. "A Low-Complexity Message Passing Detector for OTFS Modulation With Probability Clipping." IEEE Wireless Communications Letters 10, no. 6 (2021): 1271–75. http://dx.doi.org/10.1109/lwc.2021.3063904.

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