Research Output
Multi-Antenna Array Topologies Optimization for Future Wireless Networks by Employing Particle Swarm Optimization
  The purpose of this work is to design novel antenna array topologies that maximize channel capacity. Accordingly, we employ the particle swarm optimization (PSO) algorithm as an effective technique in similar electromagnetic problems. We use a novel modelling approach to derive the spatial fading correlation function by employing a generic three-dimensional (3-D) angle of arrival (AOA) model. We then employ the PSO algorithm to find the antenna array topology that maximizes the channel capacity. The use of the PSO algorithm together with the new modelling approach for the spatial correlation is sufficiently tested and verified in terms of efficiency and correctness of addressing similar type of electromagnetic problems. Moreover, the general AOA model of this work is adaptable to different propagation environments, thus our approach is very promising in this regard.

  • Date:

    31 December 2019

  • Publication Status:

    Published

  • Publisher

    IEEE

  • DOI:

    10.1109/piers-spring46901.2019.9017303

  • Cross Ref:

    10.1109/piers-spring46901.2019.9017303

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Huang, Y. K., Karadimas, P., & Sohrab, A. P. (2019). Multi-Antenna Array Topologies Optimization for Future Wireless Networks by Employing Particle Swarm Optimization. In 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) (4138-4143). https://doi.org/10.1109/piers-spring46901.2019.9017303

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