References
- R. Porselvi and M. Murugan, “An efficient pilot-symbol-aided and decision-directed hybrid channel estimation technique in OFDM systems”, Telecommunication Systems, Springer, vol. 73, no. 4, pp. 531-544, 2020. doi:10.1007/s11276-023-03585-1
- A. Anwar, B.-C. Seet, and X. J. Li, “NOMA for V2X under similar channel conditions”, AIMS Electronics and Electrical Engineering, vol. 2, pp. 48-58, 2018. doi:10.3934/ElectrEng.2018.2.48
- E. C. Marques, N. Maciel, L. Naviner, H. Cai, and J. Yang, “A review of sparse recovery algorithms”, IEEE Access, vol. 7, pp. 1300-1322, 2018.doi:10.1109/ACCESS.2018.2886471
- K. Mei, J. Liu, X. Zhang, K. Cao, N. Rajatheva, and J. Wei, “A low complexity learning-based channel estimation for OFDM systems with online training”, IEEE Transactions on Communications, vol. 69, no.10, pp. 6722-6733, 2021. doi:10.1109/TCOMM.2021.3095198
- N. Ronald, S. Schwarz, and M. Rupp, “Filter bank multicarrier modulation schemes for future mobile communications”, IEEE Journal on Selected Areas in Communications, vol. 35, no. 8, pp. 1768-1782, 2017. doi:10.1109/JSAC.2017.2710022
- A. B. Narasimhamurthy, M. K. Banavar, and C. Tepedelenlioğlu, "OFDM systems for wireless communications," Springer Cham, ED. 1, 2010. doi: 10.1007/978-3-031-01513-7
- X. Ma, F. Yang, S. Liu, J. Song, and Z. Han, “Sparse channel estimation for MIMO-OFDM systems in high-mobility situations”, IEEE Transactions on Vehicular Technology, vol. 67, no. 7, pp. 6113-6124, 2018. doi:10.1109/TVT.2018.2811368
- M. Yang, B. Ai, R. He, G. Wang, L. Chen, X. Li, C. Huang, Z. Ma, Z. Zhong, J. Wang, Y. Li, and T. Juhana. “Measurements and cluster-based modeling of vehicle-to-vehicle channels with large vehicle obstructions”, IEEE Transactions on Wireless Communications, vol. 19, no. 9, pp. 5860-5874, 2020. doi:10.1109/TWC.2020.2997808
- W. Lei and L. Yao, “Performance analysis of time reversal communication systems”, IEEE Communications Letters, vol. 23, no.4, pp.680-683, 2019. doi:10.1109/LCOMM.2019.2901484
- Z. Yang and Y. R. Zheng, “Iterative channel estimation and turbo equal-ization for multiple-input multiple-output underwater acoustic communications”, IEEE Journal of Oceanic Engineering, vol. 41, no. 1, pp. 232-242, 2016. doi:10.1109/JOE.2015.2398731
- H. Esmaiel, “Damped Zero-Pseudorandom Noise OFDM Systems”, International Journal of Electronics and Telecommunications, vol. 64, no. 4, 2018. doi: 10.24425/123542
- Q. Hu, F. Gao, H. Zhang, S. Jin, and G. Y. Li, “Deep learning for channel estimation: Interpretation, performance, and comparison”, IEEE Transactions on Wireless Communications, vol. 20, no. 4, pp. 2398-2412, 2021. doi:10.1109/TWC.2020.3042074
- H. Senol, A. R. Bin Tahir, and A. Özmen, “Artificial neural network based estimation of sparse multipath channels in OFDM systems”, Telecommunication Systems, vol. 77, pp. 231-240, 2021. doi: 10.1007/s11235-021-00754-5
- X. Ma and Z. Gao, “Data-driven deep learning to design pilot and channel estimator for massive MIMO”, IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5677-5682, 2020. doi:10.1109/TVT.2020.2980905
- L. Dai, J. Wang, Z. Wang, P. Tsiaflakis, and M. Moonen, “Spectrum- and energy-efficient OFDM based on simultaneous multi-channel reconstruction”, IEEE Transactions on Signal Processing, vol. 64, no. 23, pp. 6047-6059, 2013. doi:10.1109/TVT.2020.2980905
- M. F. Duarte and Y. C. Eldar, “Structured Compressed Sensing: From Theory to Applications”, IEEE Transactions on Signal Processing, vol. 59, no. 9, pp. 4053-4085, 2011. doi:10.1109/TSP.2011.2161982
- J. F. C. Mota, N. Deligiannis, and M. R. D. Rodrigues, “Compressed sensing with prior information: Strategies, geometry, and bounds”, IEEE Transactions on Information Theory, vol. 63, no. 7, pp. 4472-4496, 2017. doi:10.1109/TIT.2017.2695614
- N. H. Hussein, C. T. Yaw, S. P. Koh, S. K. Tiong, and K. H. Chong, “A comprehensive survey on vehicular networking: Communications, applications, challenges, and upcoming research directions”, IEEE Access, vol. 10, pp. 86127-86180, 2022. doi:10.1109/ACCESS.2022.3198656
- H. A. Hassan, M. A. Mohamed, M. N. Shaaban, M. H. Essai, and O. A. Omer, “An efficient deep neural network channel state estimator for OFDM wireless systems”, Wireless Networks, pp. 1-11, 2023, https://doi.org/10.1007/s11276-023-03585-1. doi: 10.1007/s11235-021-00754-5
- H. A. Hassan, M. A. Mohamed, M. H. Essai, H. Esmaiel, A. S. Mubarak, and O. A. Omer, “Effective deep learning-based channel state estimation and signal detection for OFDM wireless systems”, Journal of Electrical Engineering, vol.74, no. 3, pp. 167-176, 2023. doi:10.2478/jee-2023-0022
- M. A. Mohamed, H. A. Hassan, M. H. Essai, H. Esmaiel, A. S. Mubarak, and O. A. Omer, “Modified gate activation functions of Bi-LSTM-based SC-FDMA channel equalization”, Journal of Electrical Engineering, vol.74, no.4, pp. 256-266, 2023. doi:10.2478/jee-2023-0032
- M. A. Mohamed, H. A. Hassan, M. H. Essai, H. Esmaiel, A. S. Mubarak, and O. A. Omer, “Modified state activation functions of deep learning-based SC-FDMA channel equalization system”, EURASIP Journal on Wireless Communications and Networking, vol.1, pp. 1-26, 2023. doi:10.1186/s13638-023-02326-4
- C. Huang, A. F. Molisch, R. He, R. Wang, P. Tang, and Z. Zhong, “Machine-learning-based data processing techniques for vehicle-to-vehicle channel modeling,” IEEE Communications Magazine, vol. 57, no.11, pp.109-115, 2019. doi:10.1109/MCOM.001.1900124
- C. H. Cheng, Y. H. Huang, and H. C. Chen, “Enhanced channel estimation in OFDM systems with neural network technologies," Soft Computing, vol. 23, pp. 5185-5197, 2019. doi:10.1007/s00500-018-3185-y
- K. Gizzini and M. Chafii, “A survey on deep learning based channel estimation in doubly dispersive environments,” IEEE Access, vol. 10, pp. 70595-70619, 2022. doi:10.1109/ACCESS.2022.3188111
- L. Dai, J. Wang, Z. Wang, P. Tsiaflakis, and M. Moonen, “Time domain synchronous OFDM based on simultaneous multi-channel reconstruction”, IEEE International Conference on Communications (ICC), Budapest, Hungary, 09-13 June 2013, pp. 2984-2989. doi:10.1109/ICC.2013.6654997
- C. R. Tsai, Y. H. Liu, and A. Y. Wu, “Efficient compressive channel estimation for millimeter-wave large-scale antenna systems”, IEEE Transactions on Signal Processing, vol. 66, no. 9, pp. 2414-2428, 2018. doi:10.1109/TSP.2018.2811742
- A. Thakur and A. Konde, “Fundamentals of neural networks,” International Journal for Research in Applied Science and Engineering Technology, vol. 9, Issue VIII Aug 2021, pp.407-426.