Abstract
Multiuser Multiple-Input Multiple-Output (MU-MIMO) system is to serve a number of users simultaneously. Here the aim is performance enhancement of an MU-MIMO system in terms of capacity and bit error rate (BER). To enhance the bit error rate (BER) performance of the system particle swarm optimizer (PSO) combined with Block Diagonalization (BD) precoding technique. PSO algorithm employing on BER function of BD to minimizing BER of the system. The main advantage of PSO is that in case of the performance index cannot be formulated by simple equations it can find out the solution. Simulation results show that PSO-BD can achieve significantly superior BER performance than precoding technique over the different fading channel environment like Rayleigh, Rician, and Nakagami.
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References
Zhang, R., Song, R.: A linear precoding strategy based on particle swarm optimization in multicell cooperative transmission. J. Electron. (China) 28(1), 15 (2011)
Crâşmariu, V., Arvinte, M., Enescu, A., Ciochină, S.: Performance analysis of the singular value decomposition with block-diagonalization precoding in multi-user massive MIMO systems. In: 12th IEEE International Symposium on Electronics and Telecommunications (ISETC), Timisoara, pp. 71–74 (2016)
del Valle, Y., Venayagamoorthy, G.K., Mohagheghi, S., Hernandez, J., Harley, R.G.: Particle swarm optimization: basic concepts, variants and applications in power systems. IEEE Trans. Evol. Comput. 12(2), 171–195 (2008)
Zhang, Y.-D., Wang, S., Ji, G.: A comprehensive survey on particle swarm optimization algorithm and its applications. Math. Probl. Eng. 2015, 1–38 (2015)
Zhang, J., Chen, S., Mu, X., Hanzo, L.: Differential evolution algorithm aided MBER beamforming receiver for quadrature amplitude modulation systems (2011)
Lyu, T.K.: Capacity of multi-user MIMO systems with MMSE and ZF precoding. In: IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), San Francisco, CA, pp. 1083–1084 (2016)
Mahender, K., Kumar, T.A., Ramesh, K.S.: Analysis of multipath channel fading techniques in wireless communication systems. In: AIP Conference Proceedings, p. 020050 (2018)
Wongtrairat, W., Supnithi, P.: New simple form for PDF and MGF of Rician fading distribution. In: 2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS), Chiang Mai, pp. 1–4 (2011)
Popa, S., Draghiciu, N., Reiz, R.: Fading types in wireless communications systems. J. Electr. Electron. Eng. 1(1), 232 (2008)
Stojnic, M., Vikalo, H., Hassibi, B.: Rate maximization in multi-antenna broadcast channels with linear preprocessing. IEEE Trans. Wirel. Commun. 5(9), 2338–2342 (2006)
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Doneriya, A., Panchal, M., Lal, J.D. (2020). Optimization of Block Diagonalization for MU-MIMO Downlink System Using PSO. In: Nain, N., Vipparthi, S. (eds) 4th International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2019. ICIoTCT 2019. Advances in Intelligent Systems and Computing, vol 1122. Springer, Cham. https://doi.org/10.1007/978-3-030-39875-0_7
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DOI: https://doi.org/10.1007/978-3-030-39875-0_7
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