Optimal Block Diagonalization precoding scheme for MU-MIMO Downlink channel Using Particle Swarm Optimization

  • Authors

    • Shivangini Saxena
    • Dr R.P. Singh
    2018-04-15
    https://doi.org/10.14419/ijet.v7i2.17.11565
  • Block-Diagonalization (BD), Multi-User Multiple-Input Multiple-Output (MU-MIMO) system, Optimized Precoding, Particle-Swarm Optimization

  • Abstract

    As wireless communication turns out to be more common, the interest for higher rates of data transfer and continuous availability is expanding. Future wireless systems are provisioned to be very heterogeneous and interconnected. Higher data rates and Quality of Service (Qos) are two major expectations from any wireless technology. Fading is the main phenomenon which restricts the realization of Qos demand and higher data rates in wireless technologies. Fading is caused by obstacles in signal path which degrades the received signal’s quality. To mitigate the impact of fading on communication system the application of precoding techniques can be used. In this regard, this paper presents optimization of Block-Diagonalization (BD) based linear precoding scheme for multi-user multiple-input multiple output (MU-MIMO) systems. Simulation environment consists of a MIMO downlink scenario where a single base station (BS) with  antennas transmits to K receivers each with  antenna. The application of Particle Swarm Optimization (PSO) is used to find the optimal number of received antennas so as to reduce system complexity while maintaining Bit Error Rate (BER) performance of the system. MATLAB based simulation scenario is presented and evaluated over Rayleigh fading environment. Simulation results validate that the performance of Block– Diagonalization scheme can be improved up to 5dB with the application of Particle Swarm Optimization technique.

     

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  • How to Cite

    Saxena, S., & R.P. Singh, D. (2018). Optimal Block Diagonalization precoding scheme for MU-MIMO Downlink channel Using Particle Swarm Optimization. International Journal of Engineering & Technology, 7(2.17), 90-94. https://doi.org/10.14419/ijet.v7i2.17.11565

    Received date: 2018-04-15

    Accepted date: 2018-04-15

    Published date: 2018-04-15