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Entropy
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Delay-Doppler Domain Communications for Future Wireless Networks
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Delay-Doppler Domain Communications for Future Wireless Networks

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 7082

Special Issue Editors

Dr. Shuangyang Li

E-Mail Website
Guest Editor
The Faculty of Electrical Engineering and Computer Science, Technical University of Berlin, 10632 Berlin, Germany
Interests: wireless communications; communication theory; applied information theory
Prof. Dr. Zhiqiang Wei

E-Mail Website
Guest Editor
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, China
Interests: delay-Doppler domain communications; non-orthogonal multiple access; resource allocation design
Dr. Weijie Yuan

E-Mail Website
Guest Editor
Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Interests: delay-Doppler communications; integrated sensing and communications; orthogonal time frequency space
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Baoming Bai

E-Mail Website
Guest Editor
The State Key Lab of ISN, Xidian University, Xi’an 710071, China
Interests: information theory; channel coding; wireless communications; quantum communication

Special Issue Information

Dear Colleagues,

Delay-Doppler (DD) domain communications have demonstrated appealing advantages in meeting the stringent requirements for future wireless communications. A typical example is the orthogonal time frequency space (OTFS) modulation that was proposed by Prof. Hadani et al. in 2017. The related design, analysis, and application of DD domain communications have received significant attention from both theoretical and practical viewpoints, where many recent advances have been reported. Those advances are usually built on the application of communication theory, signal processing, and information theory in the DD domain.

The distinct feature of DD domain wireless channels motivates many novel DD domain designs. Further progress on this front call for full exploitation on the DD domain channel, innovative adaption of conventional communication approaches, and improved understanding of communication theory, signal processing, and information theory. The main objective of this Special Issue is to exploit the new opportunities of DD domain communications for future wireless networks by collecting new ideas, latest findings, state-of-the-art results, and comprehensive surveys of DD domain communications. Specifically, this Special Issue will accept unpublished original papers and comprehensive reviews focused on (but not restricted to) the following research areas:

  • Fundamental limits for DD domain communications;
  • DD domain information theory and waveform designs;
  • DD domain orthogonal and non-orthogonal multiple access designs;
  • DD domain channel estimation, signal detection, and transceiver designs;
  • DD domain MIMO and massive MIMO designs;
  • DD domain communications for URLLC;
  • Channel coding for DD domain communications;
  • Novel applications of DD domain communications (e.g., radar sensing and localization);
  • Machine learning/AI-enhanced DD domain communications;
  • Security and privacy issues in the DD domain;
  • Intelligent reflecting surface (IRS)-assisted DD domain communications;
  • DD domain communications in mmWave and terahertz frequency bands;
  • Channel measurement and modeling in the DD domain;
  • System-level simulation, prototyping, and field tests for the DD domain.

Dr. Shuangyang Li
Prof. Dr. Zhiqiang Wei
Dr. Weijie Yuan
Prof. Dr. Baoming Bai
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • delay-Doppler
  • orthogonal time frequency space (OTFS)
  • wireless communications
  • waveform design
  • performance analysis
  • channel modeling
  • MIMO technology
  • channel coding
  • transceiver designs

Published Papers (5 papers)

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Research

13 pages, 4105 KiB  
Article
A Transformer-Based Channel Estimation Method for OTFS Systems
by Teng Sun, Jiebiao Lv and Tao Zhou
Entropy 2023, 25(10), 1423; https://doi.org/10.3390/e25101423 - 07 Oct 2023
Viewed by 1327
Abstract
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 [...] Read more.
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 for processing time series data for refinement. The simulation results demonstrate that our proposed scheme outperforms the threshold method and other deep learning (DL) methods in terms of normalized mean squared error and bit error rate. Additionally, the temporal complexity and spatial complexity of different DL models are compared. The results indicate that our proposed algorithm achieves superior accuracy while maintaining an acceptable computational complexity. Full article
(This article belongs to the Special Issue Delay-Doppler Domain Communications for Future Wireless Networks)
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16 pages, 1341 KiB  
Article
A Novel Joint Channel Estimation and Symbol Detection Receiver for Orthogonal Time Frequency Space in Vehicular Networks
by Xiaoqi Zhang, Haifeng Wen, Ziyu Yan, Weijie Yuan, Jun Wu and Zhongjie Li
Entropy 2023, 25(9), 1358; https://doi.org/10.3390/e25091358 - 20 Sep 2023
Cited by 1 | Viewed by 890
Abstract
A vehicular network embodies a specialized variant of wireless network systems, characterized by its capability to facilitate inter-vehicular communication and connectivity with the encompassing infrastructure. With the rapid development of wireless communication technology, high-speed and reliable communication has become increasingly important in vehicular [...] Read more.
A vehicular network embodies a specialized variant of wireless network systems, characterized by its capability to facilitate inter-vehicular communication and connectivity with the encompassing infrastructure. With the rapid development of wireless communication technology, high-speed and reliable communication has become increasingly important in vehicular networks. It has been demonstrated that orthogonal time frequency space (OTFS) modulation proves effective in addressing the challenges posed by high-mobility environments, as it transforms the time-varying channels into the delay-Doppler domain. Motivated by this, in this paper, we focus on the theme of integrated sensing and communication (ISAC)-assisted OTFS receiver design, which aims to perform sensing channel estimation and communication symbol detection. Specifically, the estimation of the sensing channel is accomplished through the utilization of a deep residual denoising network (DRDN), while the communication symbol detection is performed by orthogonal approximate message passing (OAMP) processing. The numerical results demonstrate that the proposed ISAC system exhibits superior performance and robustness compared to traditional methods, with a lower complexity as well. The proposed system has great potential for future applications in wireless communication systems, especially in challenging scenarios with high mobility and interference. Full article
(This article belongs to the Special Issue Delay-Doppler Domain Communications for Future Wireless Networks)
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18 pages, 745 KiB  
Article
Superimposed Perfect Binary Array-Aided Channel Estimation for OTFS Systems
by Zuping Tang, Hengyou Kong, Ziyu Wu and Jiaolong Wei
Entropy 2023, 25(8), 1163; https://doi.org/10.3390/e25081163 - 03 Aug 2023
Viewed by 804
Abstract
Orthogonal time-frequency space (OTFS) modulation outperforms orthogonal frequency-division multiplexing in high-mobility scenarios through better channel estimation. Current superimposed pilot (SP)-based channel estimation improves the spectral efficiency (SE) when compared to that of the traditional embedded pilot (EP) method. However, it requires an additional [...] Read more.
Orthogonal time-frequency space (OTFS) modulation outperforms orthogonal frequency-division multiplexing in high-mobility scenarios through better channel estimation. Current superimposed pilot (SP)-based channel estimation improves the spectral efficiency (SE) when compared to that of the traditional embedded pilot (EP) method. However, it requires an additional non-superimposed EP delay-Doppler frame to estimate the delay-Doppler taps for the following SP-aided frames. To handle this problem, we propose a channel estimation method with high SE, which superimposes the perfect binary array (PBA) on data symbols as the pilot. Utilizing the perfect autocorrelation of PBA, channel estimation is performed based on a linear search to find the correlation peaks, which include both delay-Doppler tap information and complex channel gain in the same superimposed PBA frame. Furthermore, the optimal power ratio of the PBA is then derived by maximizing the signal-to-interference-plus-noise ratio (SINR) to optimize the SE of the proposed system. The simulation results demonstrate that the proposed method can achieve a similar channel estimation performance to the existing EP method while significantly improving the SE. Full article
(This article belongs to the Special Issue Delay-Doppler Domain Communications for Future Wireless Networks)
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13 pages, 2860 KiB  
Article
Hamming Distance Optimized Underwater Acoustic OTFS-IM Systems
by Xiaopeng Guo, Biao Wang, Yunan Zhu, Zide Fang and Zhaoyue Han
Entropy 2023, 25(7), 972; https://doi.org/10.3390/e25070972 - 24 Jun 2023
Cited by 1 | Viewed by 1087
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Delay-Doppler Domain Communications for Future Wireless Networks)
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16 pages, 884 KiB  
Article
A Structured Sparse Bayesian Channel Estimation Approach for Orthogonal Time—Frequency Space Modulation
by Mi Zhang, Xiaochen Xia, Kui Xu, Xiaoqin Yang, Wei Xie, Yunkun Li and Yang Liu
Entropy 2023, 25(5), 761; https://doi.org/10.3390/e25050761 - 06 May 2023
Viewed by 1552
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Delay-Doppler Domain Communications for Future Wireless Networks)
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