RETRACTED ARTICLE: Antenna selection with improved group based particle swarm optimization (IGPSO) and joint adaptive beam forming for wideband millimeter wave communication

Abstract

In general, realization of large array communication for mm Wave systems is non-vital. Radio Traditional digital antenna array that comprises of one Radio Frequency (RF) chain for every antenna leads to high consumption of energy, complexity in signal processing, residue of noise. However, one major drawback of analogue beam forming lies in its inability to support spatial multiplexing. Minimum Variance Distortion less Response (MVDR) is enhanced to rectify this noise inference and also the variance/power of interference. The major aim of this work is to maximize the MVDR and minimum Signal-To-Interference-Plus-Noise Ratio (SINR through effective designing of beamforming and optimal selection of antenna. Antenna selection based on power is proposed at first step and beamforming vector is optimized after selection of antenna as like in single-user setup. In case of impossibility of separation of multi-path signal, performance is enhanced by an Improved Group based Particle Swarm Optimization (IGPSO) based antenna selection and Joint adaptive beamforming scheme is proposed. A Beamforming coefficient of the entire user’s associated with an antenna is assigned to zero by MVDR and SINR in order to deactivate certain antenna. So, IGPSO is deployed in design of beamforming and joint selection of antenna. It has a non-convex constraint. Convex constraint is used for effectively approximate it. Experimental results shows that proposed design including array of lens antenna is able to produce better performance than benchmark schemes with reduced Bit Error Rate (BER) and improved spectral efficiently in terms of Spectrum efficiency and max min rate.