References:

[1] J. G. Andrews, S. Buzzi, W. Choi, S. V. Hanly, A. Lozano, A. C. K. Soong, and J. C. Zhang, “What will 5g be?,” IEEE Journal on Selected Areas in Communications, vol. 32, no. 6, pp. 1065–1082, 2014.
[2] M. Agiwal, A. Roy, and N. Saxena, “Next generation 5g wireless networks: A comprehensive survey,” IEEE Communications Surveys & Tutorials, vol. 18, no. 3, pp. 1617–1655, 2016.
[3] A. Ghosh, R. Ratasuk, B. Mondal, N. Mangalvedhe, and T. Thomas, “Lte-advanced: next-generation wireless broadband technology [invited paper],” IEEE Wireless Communications, vol. 17, no. 3, pp. 10–22, 2010.
[4] S. Parkvall, E. Dahlman, A. Furuskar, and M. Frenne, “Nr: The new 5g radio access technology,” IEEE Communications Standards Magazine, vol. 1, no. 4, pp. 24–30, 2017.
[5] M. Shafi, A. F. Molisch, P. J. Smith, T. Haustein, P. Zhu, P. De Silva, F. Tufvesson, A. Benjebbour, and G. Wunder, “5g: A tutorial overview of standards, trials, challenges, deployment, and practice,” IEEE Journal on Selected Areas in Communications, vol. 35, no. 6, pp. 1201–1221, 2017.
[6] M. Series, “Imt vision–framework and overall objectives of the future development of imt for 2020 and beyond,” Recommendation ITU, vol. 2083, no. 0, pp. 1–21, 2015.
[7] X. Zhang, L. Chen, J. Qiu, and J. Abdoli, “On the waveform for 5g,” IEEE Communications Magazine, vol. 54, no. 11, pp. 74–80, 2016.
[8] A. Osseiran, F. Boccardi, V. Braun, K. Kusume, P. Marsch, M. Maternia, O. Queseth, M. Schellmann, H. Schotten, H. Taoka, H. Tullberg, M. A. Uusitalo, B. Timus, and M. Fallgren, “Scenarios for 5g mobile and wireless communications: the vision of the metis project,” IEEE Communications Magazine, vol. 52, no. 5, pp. 26–35, 2014.
[9] C. R. Storck and F. Duarte-Figueiredo, “A survey of 5g technology evolution, standards, and infrastructure associated with vehicle-to-everything communications by internet of vehicles,” IEEE Access, vol. 8, pp. 117593–117614, 2020.
[10] M. H. C. Garcia, A. Molina-Galan, M. Boban, J. Gozalvez, B. Coll-Perales, T. Şahin, and A. Kousaridas, “A tutorial on 5g nr v2x communications,” IEEE Communications Surveys & Tutorials, vol. 23, no. 3, pp. 1972–2026, 2021.
[11] K. E. Skouby and P. Lynggaard, “Smart home and smart city solutions enabled by 5g, iot, aai and cot services,” in 2014 International Conference on Contemporary Computing and Informatics (IC3I), pp. 874–878, 2014.
[12] M. J. Shehab, I. Kassem, A. A. Kutty, M. Kucukvar, N. Onat, and T. Khattab, “5g networks towards smart and sustainable cities: A review of recent developments, applications and future perspectives,” IEEE Access, vol. 10, pp. 2987–3006, 2022.
[13] A. Mahmood, L. Beltramelli, S. Fakhrul Abedin, S. Zeb, N. I. Mowla, S. A. Hassan, E. Sisinni, and M. Gidlund, “Industrial iot in 5g-and-beyond networks: Vision, architecture, and design trends,” IEEE Transactions on Industrial Informatics, vol. 18, no. 6, pp. 4122–4137, 2022.
[14] M. Attaran, “The impact of 5g on the evolution of intelligent automation and industry digitization,” Journal of ambient intelligence and humanized computing, vol. 14, no. 5, pp. 5977–5993, 2023.
[15] V. Oleshchuk and R. Fensli, “Remote patient monitoring within a future 5g infrastructure,” Wireless Personal Communications, vol. 57, pp. 431–439, 2011.
[16] D. Zhang, J. J. P. C. Rodrigues, Y. Zhai, and T. Sato, “Design and implementation of 5g e-health systems: Technologies, use cases, and future challenges,” IEEE Communications Magazine, vol. 59, no. 9, pp. 80–85, 2021.
[17] M. Torres Vega, C. Liaskos, S. Abadal, E. Papapetrou, A. Jain, B. Mouhouche, G. Kalem, S. Ergüt, M. Mach, T. Sabol, et al., “Immersive interconnected virtual and augmented reality: A 5g and iot perspective,” Journal of Network and Systems Management, vol. 28, pp. 796–826, 2020.
[18] Y. Siriwardhana, P. Porambage, M. Liyanage, and M. Ylianttila, “A survey on mobile augmented reality with 5g mobile edge computing: Architectures, applications, and technical aspects,” IEEE Communications Surveys & Tutorials, vol. 23, no. 2, pp. 1160–1192, 2021.
[19] T. S. Rappaport, S. Sun, R. Mayzus, H. Zhao, Y. Azar, K. Wang, G. N. Wong, J. K. Schulz, M. Samimi, and F. Gutierrez, Millimeter wave mobile communications for 5g cellular: It will work!,” IEEE Access, vol. 1, pp. 335–349, 2013.
[20] S. Rangan, T. S. Rappaport, and E. Erkip, “Millimeter-wave cellular wireless networks: Potentials and challenges,” Proceedings of the IEEE, vol. 102, no. 3, pp. 366–385, 2014.
[21] H. Zhao, R. Mayzus, S. Sun, M. Samimi, J. K. Schulz, Y. Azar, K. Wang, G. N. Wong, F. Gutierrez, and T. S. Rappaport, “28 ghz millimeter wave cellular communication measurements for reflection and penetration loss in and around buildings in new york city,” in 2013 IEEE International Conference on Communications (ICC), pp. 5163–5167, 2013.
[22] C. Wang, J. Bian, J. Sun, W. Zhang, and M. Zhang, “A survey of 5g channel measurements and models,” IEEE Communications Surveys & Tutorials, vol. 20, pp. 3142–3168, Fourthquarter 2018.
[23] T. S. Rappaport, Y. Xing, G. R. MacCartney, A. F. Molisch, E. Mellios, and J. Zhang, “Overview of millimeter wave communications for fifth generation (5g) wireless networks—with a focus on propagation models,” IEEE Transactions on Antennas and Propagation, vol. 65, no. 12, pp. 6213–6230, 2017.
[24] I. A. Hemadeh, K. Satyanarayana, M. El-Hajjar, and L. Hanzo, “Millimeter-wave communications: Physical channel models, design considerations, antenna constructions, and link-budget,” IEEE Communications Surveys & Tutorials, vol. 20, no. 2, pp. 870–913, 2018.
[25] A. L. Swindlehurst, E. Ayanoglu, P. Heydari, and F. Capolino, “Millimeter-wave massive mimo: the next wireless revolution?,” IEEE Communications Magazine, vol. 52, no. 9, pp. 56–62, 2014.
[26] P.-Y. Chang, S.-H. Su, S. S. H. Hsu, W.-H. Cho, and J.-D. Jin, “An ultra-low-power transformer-feedback 60 ghz low-noise amplifier in 90 nm cmos,” IEEE Microwave and Wireless Components Letters, vol. 22, no. 4, pp. 197–199, 2012.
[27] J. Kim and I. Lee, “802.11 wlan: history and new enabling mimo techniques for next generation standards,” IEEE Communications Magazine, vol. 53, no. 3, pp. 134–140, 2015.
[28] S. Sun, T. S. Rappaport, R. W. Heath, A. Nix, and S. Rangan, “Mimo for millimeter-wave wireless communications: Beamforming, spatial multiplexing, or both?,” IEEE Communications Magazine, vol. 52, no. 12, pp. 110–121, 2014.
[29] S. Kutty and D. Sen, “Beamforming for millimeter wave communications: An inclusive survey,” IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949–973, 2016.
[30] J. Singh, S. Ponnuru, and U. Madhow, “Multi-gigabit communication: the adc bottleneck1,” in 2009 IEEE International Conference on Ultra-Wideband, pp. 22–27, 2009.
[31] R. W. Heath, N. González-Prelcic, S. Rangan, W. Roh, and A. M. Sayeed, “An overview of signal processing techniques for millimeter wave mimo systems,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, pp. 436–453, April 2016.
[32] J. A. Zhang, X. Huang, V. Dyadyuk, and Y. J. Guo, “Massive hybrid antenna array for millimeter-wave cellular communications,” IEEE Wireless Communications, vol. 22, no. 1, pp. 79–87, 2015.
[33] I. Ahmed, H. Khammari, A. Shahid, A. Musa, K. S. Kim, E. De Poorter, and I. Moerman, “A survey on hybrid beamforming techniques in 5g: Architecture and system model perspectives,” IEEE Communications Surveys & Tutorials, vol. 20, pp. 3060–3097, Fourthquarter 2018.
[34] O. E. Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi, and R. W. Heath, “Spatially sparse precoding in millimeter wave mimo systems,” IEEE Transactions on Wireless Communications, vol. 13, no. 3, pp. 1499–1513, 2014.
[35] X. Yu, J.-C. Shen, J. Zhang, and K. B. Letaief, “Alternating minimization algorithms for hybrid precoding in millimeter wave mimo systems,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 3, pp. 485–500, 2016.
[36] F. Sohrabi and W. Yu, “Hybrid digital and analog beamforming design for largescale antenna arrays,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 3, pp. 501–513, 2016.
[37] A. Mohebbi, W.-P. Zhu, and M. O. Ahmad, “Joint iterative training-based hybrid precoding and combining for millimeter wave systems,” in 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), pp. 1–4, 2019.
[38] A. F. Molisch, V. V. Ratnam, S. Han, Z. Li, S. L. H. Nguyen, L. Li, and K. Haneda, “Hybrid beamforming for massive mimo: A survey,” IEEE Communications Magazine, vol. 55, no. 9, pp. 134–141, 2017.
[39] M. Wang, F. Gao, S. Jin, and H. Lin, “An overview of enhanced massive mimo with array signal processing techniques,” IEEE Journal of Selected Topics in Signal Processing, vol. 13, pp. 886–901, Sep. 2019.
[40] F. Hlawatsch and G. Matz, Wireless communications over rapidly time-varying channels. Academic press, 2011.
[41] S. Dang, O. Amin, B. Shihada, and M.-S. Alouini, “What should 6g be?,” Nature Electronics, vol. 3, no. 1, pp. 20–29, 2020.
[42] H. Tataria, M. Shafi, A. F. Molisch, M. Dohler, H. Sjöland, and F. Tufvesson, “6g wireless systems: Vision, requirements, challenges, insights, and opportunities,” Proceedings of the IEEE, vol. 109, no. 7, pp. 1166–1199, 2021.
[43] W. Saad, M. Bennis, and M. Chen, “A vision of 6g wireless systems: Applications, trends, technologies, and open research problems,” IEEE network, vol. 34, no. 3, pp. 134–142, 2019.
[44] T. Wang, J. Proakis, E. Masry, and J. Zeidler, “Performance degradation of ofdm systems due to doppler spreading,” IEEE Transactions on Wireless Communications, vol. 5, no. 6, pp. 1422–1432, 2006.
[45] S. Sabapathy, J. S. Prabhu, S. Maruthu, and D. N. K. Jayakody, “Profuse channel estimation and signal detection techniques for orthogonal time frequency space in 6g epoch: A survey,” IEEE Access, vol. 11, pp. 129963–129993, 2023.
[46] M. Aldababsa, S. Özyurt, G. K. Kurt, and O. Kucur, “A survey on orthogonal time frequency space modulation,” IEEE Open Journal of the Communications Society, vol. 5, pp. 4483–4518, 2024.
[47] R. Hadani, S. Rakib, M. Tsatsanis, A. Monk, A. J. Goldsmith, A. F. Molisch, and R. Calderbank, “Orthogonal time frequency space modulation,” in 2017 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6, 2017.
[48] R. Hadani and A. Monk, “Otfs: A new generation of modulation addressing the challenges of 5g,” 2018.
[49] Z. Wei, W. Yuan, S. Li, J. Yuan, G. Bharatula, R. Hadani, and L. Hanzo, “Orthogonal time-frequency space modulation: A promising next-generation waveform,” IEEE Wireless Communications, vol. 28, no. 4, pp. 136–144, 2021.
[50] L. Xiao, S. Li, Y. Qian, D. Chen, and T. Jiang, “An overview of otfs for internet of things: Concepts, benefits, and challenges,” IEEE Internet of Things Journal, vol. 9, no. 10, pp. 7596–7618, 2022.
[51] Z. Wei, S. Li, W. Yuan, R. Schober, and G. Caire, “Orthogonal time frequency space modulation—part i: Fundamentals and challenges ahead,” IEEE Communications Letters, vol. 27, no. 1, pp. 4–8, 2023.
[52] M. Ramachandran, G. Surabhi, and A. Chockalingam, “Otfs: A new modulation scheme for high-mobility use cases,” Journal of the Indian institute of science, vol. 100, pp. 315–336, 2020.
[53] Y. Ge, Q. Deng, D. G. G., Y. L. Guan, and Z. Ding, “Otfs signaling for scma with coordinated multi-point vehicle communications,” IEEE Transactions on Vehicular Technology, vol. 72, no. 7, pp. 9044–9057, 2023.
[54] Y. Ma, G. Ma, B. Ai, D. Fei, N. Wang, Z. Zhong, and J. Yuan, “Characteristics of channel spreading function and performance of otfs in high-speed railway,” IEEE Transactions on Wireless Communications, vol. 22, no. 10, pp. 7038–7054, 2023.
[55] W. Chen, S. Li, C. Ju, D. Wang, J. Li, and D. Wang, “Semantic-enhanced downlink leo satellite communication system with otfs modulation,” IEEE Communications Letters, vol. 28, no. 6, pp. 1377–1381, 2024.
[56] P. Priya, E. Viterbo, and Y. Hong, “Low complexity mrc detection for otfs receiver with oversampling,” IEEE Transactions on Wireless Communications, vol. 23, no. 2, pp. 1459–1473, 2024.
[57] Y. Liang, P. Fan, Q. Wang, and X. He, “Two-dimensional delay-doppler pilots and channel estimation for multi-antenna otfs in doubly dispersive channels,” IEEE Transactions on Wireless Communications, pp. 1–1, 2023.
[58] G. Song, J. Bai, and G. Wei, “An otfs-dfrc waveform design method based on phase perturbation,” IEEE Communications Letters, vol. 27, no. 10, pp. 2578–2582, 2023.
[59] S. Li, W. Yuan, Z. Wei, R. Schober, and G. Caire, “Orthogonal time frequency space modulation—part ii: Transceiver designs,” IEEE Communications Letters, vol. 27, no. 1, pp. 9–13, 2023.
[60] V. S. Bhat, G. Harshavardhan, and A. Chockalingam, “Input-output relation and performance of ris-aided otfs with fractional delay-doppler,” IEEE Communications Letters, vol. 27, no. 1, pp. 337–341, 2023.
[61] S. R. Mattu and A. Chockalingam, “Learning in time-frequency domain for fractional delay-doppler channel estimation in otfs,” IEEE Wireless Communications Letters, pp. 1–1, 2024.
[62] S. McWade, A. Farhang, and M. F. Flanagan, “Low-complexity reliability-based equalization and detection for otfs-noma,” IEEE Transactions on Communications, vol. 71, no. 11, pp. 6779–6792, 2023.
[63] S. Dayarathna, P. Smith, R. Senanayake, and J. Evans, “Otfs based joint radar and communication: Signal analysis using the ambiguity function,” IEEE Signal Processing Letters, vol. 31, pp. 919–923, 2024.
[64] W. Yuan, Z. Wei, S. Li, R. Schober, and G. Caire, “Orthogonal time frequency space modulation—part iii: Isac and potential applications,” IEEE Communications Letters, vol. 27, no. 1, pp. 14–18, 2023.
[65] A. Mohebbi, H. Abdzadeh-Ziabari, W.-P. Zhu, and M. O. Ahmad, “A new channel estimation method for millimeter wave systems under high mobility,” in 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), pp. 1–5, 2021.
[66] A. Mohebbi, H. Abdzadeh-Ziabari, W.-P. Zhu, and M. O. Ahmad, “Doubly selective channel estimation algorithms for millimeter wave hybrid mimo systems,” IEEE Transactions on Vehicular Technology, vol. 70, no. 12, pp. 12821–12835, 2021.
[67] A. Mohebbi, W.-P. Zhu, and M. O. Ahmad, “Compressive sensing-based channel estimation for mimo otfs systems,” in 2023 Biennial Symposium on Communications (BSC), pp. 71–76, 2023.
[68] A. Mohebbi, W.-P. Zhu, and M. O. Ahmad, “Two-dimensional dps-bem based channel estimation for mimo otfs systems,” Under review for a jounal publication.
[69] Z. Xiao, T. He, P. Xia, and X. Xia, “Hierarchical codebook design for beamforming training in millimeter-wave communication,” IEEE Transactions on Wireless Communications, vol. 15, pp. 3380–3392, May 2016.
[70] A. Alkhateeb, O. E. Ayach, G. Leus, and R. W. Heath, “Channel estimation and hybrid precoding for millimeter wave cellular systems,” IEEE Journal of Selected Topics in Signal Processing, vol. 8, pp. 831–846, Oct 2014.
[71] J. Lee, G. T. Gil, and Y. H. Lee, “Channel estimation via orthogonal matching pursuit for hybrid mimo systems in millimeter wave communications,” IEEE Transactions on Communications, vol. 64, pp. 2370–2386, June 2016.
[72] Y. Wang, Z. Tian, S. Feng, and P. Zhang, “A fast channel estimation approach for millimeter-wave massive mimo systems,” in 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1413–1417, Dec 2016.
[73] C. Tsai, Y. Liu, and A. Wu, “Efficient compressive channel estimation for millimeter-wave large-scale antenna systems,” IEEE Transactions on Signal Processing, vol. 66, pp. 2414–2428, May 2018.
[74] H. Ghauch, T. Kim, M. Bengtsson, and M. Skoglund, “Subspace estimation and decomposition for large millimeter-wave mimo systems,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, pp. 528–542, April 2016.
[75] J. Rodríguez-Fernández, N. González-Prelcic, K. Venugopal, and R. W. Heath, “Frequency-domain compressive channel estimation for frequency-selective hybrid millimeter wave mimo systems,” IEEE Transactions on Wireless Communications, vol. 17, pp. 2946–2960, May 2018.
[76] K. Venugopal, A. Alkhateeb, N. González Prelcic, and R. W. Heath, “Channel estimation for hybrid architecture-based wideband millimeter wave systems,” IEEE Journal on Selected Areas in Communications, vol. 35, pp. 1996–2009, Sep. 2017.
[77] H. Kim, G. Gil, and Y. H. Lee, “Two-step approach to time-domain channel estimation for wideband millimeter wave systems with hybrid architecture,” IEEE Transactions on Communications, vol. 67, pp. 5139–5152, July 2019.
[78] R. Zhang, J. Zhang, T. Zhao, and H. Zhao, “Block sparse recovery for wideband channel estimation in hybrid mmwave mimo systems,” in 2018 IEEE Global Communications Conference (GLOBECOM), pp. 1–6, Dec 2018.
[79] Y. Wang, W. Xu, H. Zhang, and X. You, “Wideband mmwave channel estimation for hybrid massive mimo with low-precision adcs,” IEEE Wireless Communications Letters, vol. 8, pp. 285–288, Feb 2019.
[80] Y. Wang, Y. Zhang, Z. Tian, G. Leus, and G. Zhang, “Super-resolution channel estimation for arbitrary arrays in hybrid millimeter-wave massive mimo systems,” IEEE Journal of Selected Topics in Signal Processing, vol. 13, pp. 947–960, Sep. 2019.
[81] L. N. Ribeiro, A. L. F. de Almeida, N. J. Myers, and R. W. Heath, “Tensor-based estimation of mmwave mimo channels with carrier frequency offset,” in ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4155–4159, May 2019.
[82] W. Zhang, T. Kim, and S. Leung, “A sequential subspace method for millimeter wave mimo channel estimation,” IEEE Transactions on Vehicular Technology, vol. 69, pp. 5355–5368, May 2020.
[83] H. Tang, J. Wang, and L. He, “Off-grid sparse bayesian learning-based channel estimation for mmwave massive mimo uplink,” IEEE Wireless Communications Letters, vol. 8, pp. 45–48, Feb 2019.
[84] J. Zhu, C. K. Wen, J. Tong, C. Xu, and S. Jin, “Grid-less variational bayesian channel estimation for antenna array systems with low resolution adcs,” IEEE Transactions on Wireless Communications, vol. 19, pp. 1549–1562, March 2020.
[85] Y. You and L. Zhang, “Bayesian matching pursuit-based channel estimation for millimeter wave communication,” IEEE Communications Letters, vol. 24, pp. 344–348, Feb 2020.
[86] Q. Qin, L. Gui, P. Cheng, and B. Gong, “Time-varying channel estimation for millimeter wave multiuser MIMO systems,” IEEE Transactions on Vehicular Technology, vol. 67, pp. 9435–9448, Oct 2018.
[87] L. Cheng, G. Yue, D. Yu, Y. Liang, and S. Li, “Millimeter wave time-varying channel estimation via exploiting block-sparse and low-rank structures,” IEEE Access, vol. 7, pp. 123355–123366, 2019.
[88] L. Cheng, G. Yue, X. Xiong, Y. Liang, and S. Li, “Tensor decomposition-aided time-varying channel estimation for millimeter wave mimo systems,” IEEE Wireless Communications Letters, vol. 8, pp. 1216–1219, Aug 2019.
[89] L. Kong, M. K. Khan, F. Wu, G. Chen, and P. Zeng, “Millimeter-wave wireless communications for iot-cloud supported autonomous vehicles: Overview, design, and challenges,” IEEE Communications Magazine, vol. 55, pp. 62–68, January 2017.
[90] Y. Cui, X. Fang, and L. Yan, “Hybrid spatial modulation beamforming for mmwave railway communication systems,” IEEE Transactions on Vehicular Technology, vol. 65, pp. 9597–9606, Dec 2016.
[91] Z. Xiao, P. Xia, and X. Xia, “Enabling uav cellular with millimeter-wave communication: potentials and approaches,” IEEE Communications Magazine, vol. 54, pp. 66–73, May 2016.
[92] J. Qiao, Y. He, and X. S. Shen, “Proactive caching for mobile video streaming in millimeter wave 5g networks,” IEEE Transactions on Wireless Communications, vol. 15, pp. 7187–7198, Oct 2016.
[93] S. Gao, X. Cheng, and L. Yang, “Estimating doubly-selective channels for hybrid mmwave massive mimo systems: A doubly-sparse approach,” IEEE Transactions on Wireless Communications, vol. 19, pp. 5703–5715, Sep. 2020.
[94] S. Srivastava, P. Singh, A. K. Jagannatham, A. Karandikar, and L. Hanzo, “Bayesian learning-based doubly-selective sparse channel estimation for millimeter wave hybrid mimo-fbmc-oqam systems,” IEEE Transactions on Communications, vol. 69, pp. 529–543, Jan 2021.
[95] S. Srivastava, P. Sharma, S. Dwivedi, A. K. Jagannatham, and L. Hanzo, “Fast block lms based estimation of angularly sparse channels for single-carrier wideband millimeter wave hybrid mimo systems,” IEEE Transactions on Vehicular Technology, vol. 70, pp. 666–681, Jan 2021.
[96] J. Rodríguez-Fernández and N. González-Prelcic, “Channel estimation for hybrid mmwave mimo systems with cfo uncertainties,” IEEE Transactions on Wireless Communications, vol. 18, pp. 4636–4652, Oct 2019.
[97] G. B. Giannakis and C. Tepedelenlioglu, “Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels,” Proceedings of the IEEE, vol. 86, pp. 1969–1986, Oct 1998.
[98] H. Abdzadeh-Ziabari, W. Zhu, and M. N. S. Swamy, “Joint carrier frequency offset and doubly selective channel estimation for mimo-ofdma uplink with kalman and particle filtering,” IEEE Transactions on Signal Processing, vol. 66, pp. 4001–4012, Aug 2018.
[99] X. He, R. Song, and W. Zhu, “Pilot allocation for distributed-compressed-sensing- based sparse channel estimation in mimo-ofdm systems,” IEEE Transactions on Vehicular Technology, vol. 65, pp. 2990–3004, May 2016.
[100] H. Abdzadeh-Ziabari and B. Champagne, “Signal detection algorithms for single carrier generalized spatial modulation in doubly selective channels,” Signal Processing, vol. 172, p. 107539, 2020.
[101] J. K. Tugnait, S. He, and H. Kim, “Doubly selective channel estimation using exponential basis models and subblock tracking,” IEEE Transactions on Signal Processing, vol. 58, pp. 1275–1289, March 2010.
[102] Y. C. Eldar, P. Kuppinger, and H. Bolcskei, “Block-sparse signals: Uncertainty relations and efficient recovery,” IEEE Transactions on Signal Processing, vol. 58, pp. 3042–3054, June 2010.
[103] Z. Cheng, M. Tao, and P. Y. Kam, “Channel path identification in mmwave systems with large-scale antenna arrays,” IEEE Transactions on Communications, vol. 68, pp. 5549–5562, Sep. 2020.
[104] S.-W. Hou and C. C. Ko, “Intercarrier interference suppression for ofdma uplink in time- and frequency-selective fading channels,” IEEE Transactions on Vehicular Technology, vol. 58, pp. 2741–2754, July 2009.
[105] K. Upadhya, R. W. Heath, and S. A. Vorobyov, “Tracking abruptly changing channels in mmwave systems using overlaid data and training,” in 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 1–5, Dec 2017.
[106] J. Rodríguez-Fernández, N. Gonzáiez-Prelcic, and R. W. Heath, “Frequency-domain wideband channel estimation and tracking for hybrid mimo systems,” in 2017 51st Asilomar Conference on Signals, Systems, and Computers, pp. 1829–1833, Oct 2017.
[107] S. M. Kay, Fundamentals of statistical signal processing. Prentice Hall PTR, 1993.
[108] C. Huang, L. Liu, C. Yuen, and S. Sun, “Iterative channel estimation using lse and sparse message passing for mmwave mimo systems,” IEEE Transactions on Signal Processing, vol. 67, pp. 245–259, Jan 2019.
[109] M. Kollengode Ramachandran and A. Chockalingam, “Mimo-otfs in high-doppler fading channels: Signal detection and channel estimation,” in 2018 IEEE Global Communications Conference (GLOBECOM), pp. 206–212, 2018.
[110] P. Raviteja, K. T. Phan, and Y. Hong, “Embedded pilot-aided channel estimation for otfs in delay–doppler channels,” IEEE Transactions on Vehicular Technology, vol. 68, no. 5, pp. 4906–4917, 2019.
[111] S. S. Das, V. Rangamgari, S. Tiwari, and S. C. Mondal, “Time domain channel estimation and equalization of cp-otfs under multiple fractional dopplers and residual synchronization errors,” IEEE Access, vol. 9, pp. 10561–10576, 2021.
[112] F. Liu, Z. Yuan, Q. Guo, Z. Wang, and P. Sun, “Message passing-based structured sparse signal recovery for estimation of otfs channels with fractional doppler shifts,” IEEE Transactions on Wireless Communications, vol. 20, no. 12, pp. 7773–7785, 2021.
[113] H. B. Mishra, P. Singh, A. K. Prasad, and R. Budhiraja, “Otfs channel estimation and data detection designs with superimposed pilots,” IEEE Transactions on Wireless Communications, vol. 21, no. 4, pp. 2258–2274, 2022.
[114] H. Wen, W. Yuan, C. Yuen, and Y. Li, “Mf-oamp-based joint channel estimation and data detection for otfs systems,” IEEE Transactions on Vehicular Technology, vol. 73, no. 2, pp. 2948–2953, 2024.
[115] L. Zhao, W.-J. Gao, and W. Guo, “Sparse bayesian learning of delay-doppler channel for otfs system,” IEEE Communications Letters, vol. 24, no. 12, pp. 2766–2769, 2020.
[116] S. Srivastava, R. K. Singh, A. K. Jagannatham, and L. Hanzo, “Bayesian learning aided simultaneous row and group sparse channel estimation in orthogonal time frequency space modulated mimo systems,” IEEE Transactions on Communications, vol. 70, no. 1, pp. 635–648, 2022.
[117] Z. Wei, W. Yuan, S. Li, J. Yuan, and D. W. K. Ng, “Off-grid channel estimation with sparse bayesian learning for otfs systems,” IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 7407–7426, 2022.
[118] Q. Wang, Y. Liang, Z. Zhang, and P. Fan, “2d off-grid decomposition and sbl combination for otfs channel estimation,” IEEE Transactions on Wireless Communications, vol. 22, no. 5, pp. 3084–3098, 2023.
[119] A. Mehrotra, S. Srivastava, S. Asifa, A. K. Jagannatham, and L. Hanzo, “Online bayesian learning-aided sparse csi estimation in otfs modulated mimo systems for ultra-high-doppler scenarios,” IEEE Transactions on Communications, vol. 72, no. 4, pp. 2182–2200, 2024.
[120] K. Meng, S. Yang, X.-Y. Wang, Y. Bu, Y. Tang, J. Zhang, and L. Hanzo, “Joint sparsity pattern learning based channel estimation for massive mimo-otfs systems,” IEEE Transactions on Vehicular Technology, pp. 1–6, 2024.
[121] W. Shen, L. Dai, J. An, P. Fan, and R. W. Heath, “Channel estimation for orthogonal time frequency space (otfs) massive mimo,” IEEE Transactions on Signal Processing, vol. 67, no. 16, pp. 4204–4217, 2019.
[122] S. Srivastava, R. K. Singh, A. K. Jagannatham, and L. Hanzo, “Delay-doppler and angular domain 4d-sparse csi estimation in otfs aided mimo systems,” IEEE Transactions on Vehicular Technology, vol. 71, no. 12, pp. 13447–13452, 2022.
[123] S. Srivastava, R. K. Singh, A. K. Jagannatham, and L. Hanzo, “Bayesian learning aided sparse channel estimation for orthogonal time frequency space modulated systems,” IEEE Transactions on Vehicular Technology, vol. 70, no. 8, pp. 8343–8348, 2021.
[124] P. Raviteja, Y. Hong, E. Viterbo, and E. Biglieri, “Practical pulse-shaping waveforms for reduced-cyclic-prefix otfs,” IEEE Transactions on Vehicular Technology, vol. 68, no. 1, pp. 957–961, 2019.
[125] H.-T. Sheng and W.-R. Wu, “Time-frequency domain channel estimation for otfs systems,” IEEE Transactions on Wireless Communications, vol. 23, no. 2, pp. 937–948, 2024.
[126] O. K. Rasheed, G. D. Surabhi, and A. Chockalingam, “Sparse delay-doppler channel estimation in rapidly time-varying channels for multiuser otfs on the uplink,” in 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), pp. 1–5, 2020.
[127] Y. Liu, Y. L. Guan, and D. G. G., “Near-optimal bem otfs receiver with low pilot overhead for high-mobility communications,” IEEE Transactions on Communications, vol. 70, no. 5, pp. 3392–3406, 2022.
[128] Y. Zhang, X. Zhu, Y. Liu, Y. Jiang, R. Yin, Y. L. Guan, and D. G. G., “Basis expansion extrapolation based dl channel prediction with ul channel estimates for tdd mimo-otfs systems,” in ICC 2023 - IEEE International Conference on Communications, pp. 2270–2275, 2023.
[129] Y. Liu, Y. L. Guan, and D. G. G., “Turbo bem otfs receiver with optimized superimposed pilot power,” IEEE Transactions on Communications, vol. 72, no. 1, pp. 601–617, 2024.
[130] F. Huang, Q. Guo, Y. Zhang, and Y. V. Zakharov, “Message passing-based joint channel estimation and signal detection for otfs with superimposed pilots,” IEEE Transactions on Vehicular Technology, vol. 73, no. 8, pp. 11531–11542, 2024.
[131] Q. Guo, H. Jiang, J. Xiang, and Y. Zhong, “A cs-bem otfs channel estimation approach for sparse continuous doppler-spread channels,” IEEE Wireless Communications Letters, pp. 1–1, 2024.
[132] F. Pena-Campos, R. Carrasco-Alvarez, O. Longoria-Gandara, and R. Parra-Michel, “Estimation of fast time-varying channels in ofdm systems using two-dimensional prolate,” IEEE Transactions on Wireless Communications, vol. 12, no. 2, pp. 898–907, 2013.
[133] P. Salvo Rossi and R. R. Muller, “Slepian-based two-dimensional estimation of time-frequency variant mimo-ofdm channels,” IEEE Signal Processing Letters, vol. 15, pp. 21–24, 2008.
[134] D. Slepian, “Prolate spheroidal wave functions, fourier analysis and uncertainty — iv: Extensions to many dimensions; generalized prolate spheroidal functions,” The Bell System Technical Journal, vol. 43, no. 6, pp. 3009–3057, 1964.
[135] “Study on channel model for frequencies from 0.5 to 100 ghz, v17.0.0,” 2022.