Optimization of Beamforming in Subarray Antennas Using Firefly Algorithm

The subarray antenna techniques are much focused for flexible beamforming in envisioned smart antenna applications. The aim of this subarray arrangement of antenna elements is greatly motivated by bandwidth enhancement and interference minimization in the upcoming 5G next generation networks infrastructure. The optimization is required for effective placement of nulls in the desired direction of interferes from known sensed and verified disturbance angles. In this three dimensional radiation pattern optimization, the number of phase shift elements and constructive values for pointing focused beam and destructive strength in the obstacles is crucial. In this paper we proposed a firefly algorithm for dynamic management of the radiation pattern. It is possible with the optimization of the weight parameters of the subarray antenna. From the given Direction of Arrival we investigate the possibilities of deep placing of nulls is simulated and analyzed with the antenna parameters.