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Relevant bibliographies by topics / OTFS modulation

Academic literature on the topic 'OTFS modulation'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "OTFS modulation"

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 deployment settings, OTFS achieves Massive MIMO throughput gains by scaling throughput linearly with MIMO order. An analysis of peak to average power ratio (PAPR) of OFTS modulation wave forms is presented in this paper. OTFS with rectangular pulses is characterized analytically using the complementary cumulative distribution function (CCDF). The simulated CCDF for the PAPR of OTFS is compared with that for orthogonal frequency division multiplexing (OFDM) for different pulse shapes. The results show that OTFS has a better PAPR than OFDM.

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2

Ren, Huarong, Weikai Xu, and Lin Wang. "Multiple-Mode Orthogonal Time Frequency Space with Index Modulation." Electronics 11, no. 16 (August 19, 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 of different constellation modes. At the receiver, a distance-based signal detection algorithm is designed, which uses the distance matrix to find the combination of the minimum sum of elements to recover the index bits. The simulation results demonstrate the enhanced performance of the proposed scheme in the time-varying channels.

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3

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

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4

Guo, Xiaopeng, Biao Wang, Yunan Zhu, Zide Fang, and Zhaoyue Han. "Hamming Distance Optimized Underwater Acoustic OTFS-IM Systems." Entropy 25, no. 7 (June 24, 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 contrast, since there is index sequence redundancy in a specific index combination, a Hamming distance optimization model is used to eliminate the redundant combination in the specific index combination sequence and further improve the bit error rate performance of the system. In addition, the Hamming distance optimized OTFS-IM underwater acoustic communication system is verified by simulation analysis. The results show that the proposed Hamming distance optimized OTFS-IM can achieve more reliable bit error rate performance.

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5

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 results showed that the OTFS admits a small BER to the OFDM in given cases

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6

Zhang, Mi, Xiaochen Xia, Kui Xu, Xiaoqin Yang, Wei Xie, Yunkun Li, and Yang Liu. "A Structured Sparse Bayesian Channel Estimation Approach for Orthogonal Time—Frequency Space Modulation." Entropy 25, no. 5 (May 6, 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 sparse structure of the channel in the delay Doppler (DD) domain according to the input and output relationship of OTFS signals. On this basis, a new structured Bayesian learning approach is proposed for accurate channel estimation, which includes a novel structured prior model for the delay-Doppler channel and a successive majorization–minimization (SMM) algorithm for efficient posterior channel estimate computation. Simulation results show that the proposed approach significantly outperforms the reference schemes, especially in the low signal-to-noise ratio (SNR) region.

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7

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 (October 18, 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 range of effective attacks. Finally, our numerical results show that our proposed transmission scheme can guarantee the underlying security property of OTFS.

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8

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 (November 22, 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 the DD and time domain. In this work, we propose an OTFS system based on the discrete Zak transform (DZT). To this end, we discuss the DZT and establish the input–output relation for time-frequency (TF) dispersive channels solely by the properties of the DZT. The presented formulation simplifies the derivation and analysis of the input–output relation of the TF dispersive channel in the DD domain. Based on the presented formulation, we show that operating in the DD incurs no loss in capacity.

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9

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 (August 2021): 1742–46. http://dx.doi.org/10.1109/lwc.2021.3078527.

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10

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

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Books on the topic "OTFS modulation"

1

Prasad, Ramjee, and Suvra Sekhar Das. Orthogonal Time Frequency Space Modulation: OTFS a Waveform For 6G. River Publishers, 2022.

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Prasad, Ramjee, and Suvra Sekhar Das. Orthogonal Time Frequency Space Modulation: OTFS a Waveform For 6G. River Publishers, 2022.

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3

Orthogonal Time Frequency Space Modulation: OTFS a Waveform For 6G. River Publishers, 2021.

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4

Prasad, Ramjee, and Suvra Sekhar Das. Orthogonal Time Frequency Space Modulation: OTFS a Waveform For 6G. River Publishers, 2022.

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Book chapters on the topic "OTFS modulation"

1

Das, Suvra Sekhar, and Ramjee Prasad. "OTFS Signal Model." In Orthogonal Time Frequency Space Modulation, 89–102. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-3.

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Das, Suvra Sekhar, and Ramjee Prasad. "Channel Estimation in OTFS." In Orthogonal Time Frequency Space Modulation, 139–68. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-6.

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3

Das, Suvra Sekhar, and Ramjee Prasad. "Circulant Pulse Shaped OTFS." In Orthogonal Time Frequency Space Modulation, 129–38. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-5.

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4

Das, Suvra Sekhar, and Ramjee Prasad. "Receivers Structures for OTFS." In Orthogonal Time Frequency Space Modulation, 103–27. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-4.

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5

Das, Suvra Sekhar, and Ramjee Prasad. "Nonorthogonal Multiple Access with OTFS." In Orthogonal Time Frequency Space Modulation, 169–90. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-7.

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6

Rakesh Babu, B., Y. Gowthami, K. Anusha, C. Hari Rama Subba Reddy, and M. Guna Sekhar Reddy. "Design of OTFS Modulation by Superimposed Pilot-Based Channel Estimation and Embedded Pilot-Aided Estimation." In Lecture Notes in Electrical Engineering, 113–19. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2058-7_13.

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Conference papers on the topic "OTFS modulation"

1

Chen, Wei-Chang, Chang-Hung Lu, and Char-Dir Chung. "Spectrally Precoded OTFS Modulation." In 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). IEEE, 2022. http://dx.doi.org/10.1109/vtc2022-fall57202.2022.10012733.

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2

Zhang, Chunqiong, Dan Feng, Mengmeng Liu, and Baoming Bai. "Spatial Modulation Based MIMO-OTFS Transmissions." In 2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2021. http://dx.doi.org/10.1109/icccworkshops52231.2021.9538858.

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3

Gong, Zhihan, Shengheng Liu, and Yongming Huang. "Doppler Diversity Reception for OTFS Modulation." In 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring). IEEE, 2022. http://dx.doi.org/10.1109/vtc2022-spring54318.2022.9860675.

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4

Li, Xiang, Weijie Yuan, and Zhongjie Li. "Hybrid Message Passing Detection for OTFS Modulation." In 2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023. http://dx.doi.org/10.1109/wcnc55385.2023.10118784.

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5

Liu, Mengxue, Ming-Min Zhao, Ming Lei, and Min-Jian Zhao. "Autoencoder Based PAPR Reduction for OTFS Modulation." In 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall). IEEE, 2021. http://dx.doi.org/10.1109/vtc2021-fall52928.2021.9625251.

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6

Zhong, Chenglin, Qinghe Du, Lei Lu, and Shijiao Zhang. "Constellation Optimization Assisted OTFS with Index Modulation." In 2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2023. http://dx.doi.org/10.1109/icccworkshops57813.2023.10233740.

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7

Surabhi, G. D., M. Kollengode Ramachandran, and A. Chockalingam. "OTFS Modulation with Phase Noise in mmWave Communications." In 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE, 2019. http://dx.doi.org/10.1109/vtcspring.2019.8746382.

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8

Augustine, Rose Mary, and A. Chockalingam. "Interleaved Time-Frequency Multiple Access Using OTFS Modulation." In 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE, 2019. http://dx.doi.org/10.1109/vtcfall.2019.8891404.

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9

Ashok Raj, M., and G. Ananthi. "Performance Analysis of OTFS Modulation in Vehicular Networks." In 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC). IEEE, 2021. http://dx.doi.org/10.1109/icsccc51823.2021.9478085.

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10

Murali, K. R., and A. Chockalingam. "On OTFS Modulation for High-Doppler Fading Channels." In 2018 Information Theory and Applications Workshop (ITA). IEEE, 2018. http://dx.doi.org/10.1109/ita.2018.8503182.

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