{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T23:40:44Z","timestamp":1774654844049,"version":"3.50.1"},"reference-count":32,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T00:00:00Z","timestamp":1695168000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62101232"],"award-info":[{"award-number":["62101232"]}]},{"name":"National Natural Science Foundation of China","award":["2022A1515011257"],"award-info":[{"award-number":["2022A1515011257"]}]},{"name":"Guangdong Provincial Natural Science Foundation","award":["62101232"],"award-info":[{"award-number":["62101232"]}]},{"name":"Guangdong Provincial Natural Science Foundation","award":["2022A1515011257"],"award-info":[{"award-number":["2022A1515011257"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/e25091358","type":"journal-article","created":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T21:26:32Z","timestamp":1695245192000},"page":"1358","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Novel Joint Channel Estimation and Symbol Detection Receiver for Orthogonal Time Frequency Space in Vehicular Networks"],"prefix":"10.3390","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5034-0959","authenticated-orcid":false,"given":"Xiaoqi","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haifeng","family":"Wen","sequence":"additional","affiliation":[{"name":"Information Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511458, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyu","family":"Yan","sequence":"additional","affiliation":[{"name":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weijie","family":"Yuan","sequence":"additional","affiliation":[{"name":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongjie","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1109\/TVT.2022.3204310","article-title":"Impacts of sensing energy and data availability on throughput of energy harvesting cognitive radio networks","volume":"72","author":"Liu","year":"2022","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_2","unstructured":"Yuan, W., Li, S., Wei, Z., Jiang, J., Zhang, H., and Fan, P. (2022). A Survey on Orthogonal Time Frequency Space: New Delay Doppler Communications Paradigm in 6G era. arXiv."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"7407","DOI":"10.1109\/TWC.2022.3158616","article-title":"Off-grid channel estimation with sparse bayesian learning for OTFS systems","volume":"21","author":"Wei","year":"2022","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1854","DOI":"10.1109\/JSAC.2022.3155538","article-title":"A novel ISAC transmission framework based on spatially-spread orthogonal time frequency space modulation","volume":"40","author":"Li","year":"2022","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1109\/JSAC.2022.3156632","article-title":"Integrated sensing and communications: Towards dual-functional wireless networks for 6G and beyond","volume":"40","author":"Liu","year":"2022","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1515","DOI":"10.1109\/JSTSP.2021.3117404","article-title":"Integrated sensing and communication-assisted orthogonal time frequency space transmission for vehicular networks","volume":"15","author":"Yuan","year":"2021","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_7","unstructured":"Hadani, R., and Monk, A. (2018). OTFS: A new generation of modulation addressing the challenges of 5G. arXiv."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Yuan, W., Li, S., Wei, Z., Yuan, J., and Ng, D.W.K. (2021, January 29). Bypassing channel estimation for OTFS transmission: An integrated sensing and communication solution. Proceedings of the 2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), Nanjing, China.","DOI":"10.1109\/WCNCW49093.2021.9420020"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Xiong, Y., Liu, F., Cui, Y., Yuan, W., and Han, T.X. (2021, January 29). Flowing the information from Shannon to Fisher: Towards the fundamental tradeoff in ISAC. Proceedings of the GLOBECOM 2022\u20142022 IEEE Global Communications Conference, Nanjing, China.","DOI":"10.1109\/GLOBECOM48099.2022.10001144"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1109\/LCOMM.2020.3024574","article-title":"Low-complexity beamformer design for joint radar and communications systems","volume":"25","author":"Dong","year":"2020","journal-title":"IEEE Commun. Lett."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Meng, X., Liu, F., Lu, S., Chepuri, S.P., and Masouros, C. (2022). RIS-assisted integrated sensing and communications: A subspace rotation approach. arXiv.","DOI":"10.1109\/RadarConf2351548.2023.10149664"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Li, Z., Yuan, W., and Zhou, L. (2022, January 11\u201313). UAMP-Based Channel Estimation for OTFS in the Presence of the Fractional Doppler with HMM Prior. Proceedings of the 2022 IEEE\/CIC International Conference on Communications in China (ICCC Workshops), Foshan, China.","DOI":"10.1109\/ICCCWorkshops55477.2022.9896709"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Zhang, K., Yuan, W., Li, S., Liu, F., Gao, F., Fan, P., and Cai, Y. (2023). Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective. arXiv.","DOI":"10.23919\/JCC.fa.2023-0060.202309"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1109\/TCOMM.2022.3221422","article-title":"DDPG-based joint time and energy management in ambient backscatter-assisted hybrid underlay CRNs","volume":"71","author":"Zheng","year":"2022","journal-title":"IEEE Trans. Commun."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1109\/TWC.2021.3100148","article-title":"Deep residual learning for channel estimation in intelligent reflecting surface-assisted multi-user communications","volume":"21","author":"Liu","year":"2021","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Kim, T.K., and Min, M. (2023). Reinforcement Learning-Aided Channel Estimator in Time-Varying MIMO Systems. Sensors, 23.","DOI":"10.3390\/s23125689"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"6501","DOI":"10.1109\/TWC.2018.2860011","article-title":"Interference Cancellation and Iterative Detection for Orthogonal Time Frequency Space Modulation","volume":"17","author":"Raviteja","year":"2018","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"7193","DOI":"10.1109\/TVT.2021.3083181","article-title":"Hybrid MAP and PIC detection for OTFS modulation","volume":"70","author":"Li","year":"2021","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"7976","DOI":"10.1109\/TVT.2020.2991443","article-title":"A Simple Variational Bayes Detector for Orthogonal Time Frequency Space (OTFS) Modulation","volume":"69","author":"Yuan","year":"2020","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Wen, H., Yuan, W., Wu, N., and Wen, J. (2022, January 19\u201322). A Low-Complexity Cross-Domain OAMP Detector for OTFS: (Invited Paper). Proceedings of the 2022 International Symposium on Wireless Communication Systems (ISWCS), Hangzhou, China.","DOI":"10.1109\/ISWCS56560.2022.9940366"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"714","DOI":"10.1109\/TWC.2021.3097173","article-title":"Iterative Detection for Orthogonal Time Frequency Space Modulation With Unitary Approximate Message Passing","volume":"21","author":"Yuan","year":"2022","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4906","DOI":"10.1109\/TVT.2019.2906357","article-title":"Embedded pilot-aided channel estimation for OTFS in delay\u2013Doppler channels","volume":"68","author":"Raviteja","year":"2019","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Zhang, X., Yuan, W., and Liu, C. (2022, January 11\u201313). Deep Residual Learning for OTFS Channel Estimation with Arbitrary Noise. Proceedings of the 2022 IEEE\/CIC International Conference on Communications in China (ICCC Workshops), Foshan, China.","DOI":"10.1109\/ICCCWorkshops55477.2022.9896721"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Zhang, X., Yuan, W., Liu, C., Liu, F., and Wen, M. (2022, January 19\u201322). Deep Learning with a Self-Adaptive Threshold for OTFS Channel Estimation. Proceedings of the 2022 International Symposium on Wireless Communication Systems (ISWCS), Hangzhou, China.","DOI":"10.1109\/ISWCS56560.2022.9940260"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1624","DOI":"10.1109\/TWC.2020.3034895","article-title":"Deep transfer learning for signal detection in ambient backscatter communications","volume":"20","author":"Liu","year":"2020","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1109\/LWC.2020.3030222","article-title":"Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications","volume":"10","author":"Liu","year":"2021","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Hyv\u00e4rinen, A., Hoyer, P., and Oja, E. (1998). Sparse code shrinkage: Denoising by nonlinear maximum likelihood estimation. Adv. Neural Inf. Process. Syst., 11.","DOI":"10.1162\/089976699300016214"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2020","DOI":"10.1109\/ACCESS.2017.2653119","article-title":"Orthogonal AMP","volume":"5","author":"Ma","year":"2017","journal-title":"IEEE Access"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"6033","DOI":"10.1109\/TWC.2021.3071493","article-title":"Performance analysis of coded OTFS systems over high-mobility channels","volume":"20","author":"Li","year":"2021","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2245","DOI":"10.1109\/JSAC.2023.3280984","article-title":"Predictive precoder design for OTFS-enabled URLLC: A deep learning approach","volume":"41","author":"Liu","year":"2023","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Li, Q., Gong, Y., Meng, F., Li, Z., Miao, L., and Xu, Z. (2022, January 11\u201313). Residual learning based channel estimation for OTFS system. Proceedings of the 2022 IEEE\/CIC International Conference on Communications in China (ICCC Workshops), Foshan, China.","DOI":"10.1109\/ICCCWorkshops55477.2022.9896637"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2545","DOI":"10.1109\/TIT.2003.817427","article-title":"MIMO capacity through correlated channels in the presence of correlated interferers and noise: A (not so) large N analysis","volume":"49","author":"Moustakas","year":"2003","journal-title":"IEEE Trans. Inf. 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