Research Output
Optimal Antenna Array Topologies for Energy Efficiency Maximization by Employing Particle Swarm Optimization
  The purpose of this work is to design novel antenna array topologies that maximize the energy efficiency (EE) in multiple-input-multiple-output (MIMO) wireless systems. To provide insights into EE optimization issues, the particle swarm optimization (PSO) algorithm is employed as an effective technique. First, we adopt a flexible and generalized three-dimensional (3D) angle of arrival (AOA) model to account for realistic propagation environments. Then we derive a novel closed-form spatial correlation function (SCF) relevant to the locations of antenna array elements in the 3D space. In this paper, we incorporate our SCF into the EE derivation and apply the PSO algorithm to find the optimal antenna array topology in space that maximizes the EE. The derived EE is significantly higher compared to existing state-of-the art research that employed an exponential SCF. We provide new insights into EE maximization for antenna arrays, where the simulation results demonstrate the effectiveness and usefulness of the proposed approach.

  • Date:

    17 October 2019

  • Publication Status:

    Published

  • Publisher

    IEEE

  • DOI:

    10.1109/apwc.2019.8870504

  • Cross Ref:

    10.1109/apwc.2019.8870504

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Huang, Y., Karadimas, P., & Sohrab, A. P. (2019). Optimal Antenna Array Topologies for Energy Efficiency Maximization by Employing Particle Swarm Optimization. In 2019 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC) (187-191). https://doi.org/10.1109/apwc.2019.8870504

Authors

Keywords

Angle of arrival model, Antenna array topologies, energy efficiency, particle swarm optimization, spatial correlation function

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