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Optimization of Block Diagonalization for MU-MIMO Downlink System Using PSO

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1122)

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.

Keywords

  • MU-MIMO
  • BER
  • Fading channel
  • Linear precoder
  • PSO

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Correspondence to Archana Doneriya .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39874-3

  • Online ISBN: 978-3-030-39875-0

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