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International Journal of Basic Science and Technology

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Archive | ISSUE: , Volume: Oct-Dec-2023

Channel Estimation for Millimeter Wave Mimo Systems Via Deep Learning


Author:Raji A.A., Adejumobi I.A., Orimolade J.F.

published date:2023-Jul-14

FULL TEXT in - | page 276 -283

Abstract

Channel estimation is an essential part of millimeter wave architectures design. Least Square (LS) and Orthogonal Matching Pursuit (OMP) have largely been employed for the task. OMP is susceptible to noise and performs poorly at low signal to noise ratio while LS method is unable to exploit the sparse property of millimeter wave channel and therefore exhibits poorer performance than OMP. This work therefore considered Deep Learning (DL) for millimeter wave channel estimation in downlink millimeter wave communication scenario. By using normalized mean square errors , spectral efficiency and bit rate as performance metrics, it was shown for all the cases considered that DL outperforms OMP and LS over signal to noise ratio regimes of -30 to -10dB and hence an alternative and better choice for obtaining information concerning a channel characterized by noise and the model can also accomodate a number of channel paths in a manner better than adaptive method

Keywords: Channel estimation, Deep learning, Multiple Input-Multiple Output ,,

References

Alkhateeb, A., Ayach, O.E., Leus, G. and Heath, R-W (2014b). Channel Estimation and Hybrid Precoding for Millimeter-Wave Cellular Systems, IEEE Journal of Selected Topics in Signal Processing, 8(5): 831-846.

Alkhateeb, A., Leus, G., and Heath R.W. (2015). Compressed Sensing Based Multi-User Millimeter Wave Systems: How Many measurements are needed? Proc. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing, 19-24 April, Brisbane, QLD, Australlia.

Bajwa, W.W., Haupt J., Sayeed A.M., and Nowak R. (2016). Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channel, Proc. IEEE, 98(6): 1058-1076. Retrieved April 14, 2019 from 10.1109/JPROC.2010.2042415.

Beek, J.S., Edfors, O., Sandell, M., Wilson, S.K., and Borjesson, P.O. (1995). On Channel Estimation in OFDM Systems. Proceedings of IEEE 45th Vehicular Technology Countdown to the Wireless Twenty-First Century, 25-28, July, Chicago, USA. Retrieved Dec. 5, 2018 from 10.1109/VETEC.1995.504981: 1-5.

Chulong, H.C., Tian, C., Li, X., Zhang, C., Shiqi, Z., and Lim, C. (2017). A Channel Estimation Scheme for MIMO-OFDM Systems, IOP Conf. Series Journal of Physics: 1-9. Retrieved Oct. 8, 2018 from doi: 10.1088/1742-65961/887/1/012039.

Eldowek, B.M., Saied, M.A., El-Sayed, M.E. and Fathi, E.A. (2017). Second –Order Statistics Channel Model for 5G Millimeter-Wave Mobile Communications, Arab Journal of Science and Engineering. Retrieved June, 2018 from doi: 10.1007/s13369-017-2889-0.

Ganesh, R.S., Jayakumani, J., and Akhila, I.F. (2011), Channel Estimation Analysis in MIMO-OFDM, Proceeding of International Conference on Signal Processing Communication, Computing and Networking Technology: 399-403.

Gaspar, G.R. (2016). Channel Estimation in Massive MIMO-Systems. A Ph.D thesis of Universidade Nova De Lisboa:  1-67.

Huang, C., Liu, L., Yuan, C. and Sun, S. (2016). A LSE and Sparse Message Passing-Based Channel Estimation for mmWave MIMO Systems, Proc. IEEE Globecom Workshop: 1-6.

 Lee, J., Gil, G-J. and Lee, H. (2016). Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communication, IEEE Trans. on Communication, 64(6): 2370-2386.

Li, Y. (2002). Simplified Channel Estimation for OFDM Systems with Multiple Transmit Antennas, IEEE Transaction on Wireless Communication, 1(1): 67-75.

Liao, A., Gao, Z., Wu, Y., Wang, H., and Alouin, M.S. (2017). 2D Unitary ESPIRIT Based Super Resolution Channel Estimation for Millimeter Wave Massive MIMO with Hybrid Precoding, IEEE Access, 5: 24747-24757.

Parminder, K. and Karamjit, K. (2016). Improved Channel Estimation in Transmit Diversity MIMO-OFDM using Particle Swarm Optimization, International J. of Research in Engineering and Technology, 4(6): 475-479.

Raggan S., and Rappaport T.S. (2014), Millimeter-Wave Cellular Wireless Network: Potentials and Challenges, Proceedings of IEEE, 102(3):366-385.

Samek, W., Stanczak, S. and Wiegand, T. (2017). The Convergence of Machine Learning and Communications, Retrieved January 23, 2019 from http://arxiv.org/abs/70s.08299.

Xiang, W., Zheng, K and Shin, X.S. (2017). 5G Mobile Commincations, Springer International Publishing: 1

Venugopal, K., Alkhateeb, A., Preclic, N.G. and Heath, R.W. (2017). Channel Estimation for Hybrid Architecture Based Wideband Millimeter Wave Systems, IEEE Journal on Selected Areas in Communications, 35(9):1996-2009.

Vidhyak, K., and Kumar, K.R.S. (2014). Channel Estimation of MIMO-OFDM Systems using PSO and GA., Arab J. Sci. Engineering, 39: 4047-4056. Retrieved Dec. 6, 2018 from doi: 10.10071/s13369-014-0988-8.

Yun, Z. and Iskandar, M.T. (2015). Ray Tracing for Radio Propagation Modelling: Principles and Applications, IEEE Access, 3: 1089-1100.

 

 

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