Certain investigations on joint beamforming and antenna selection with power allocation using swarm intelligence algorithms for wideband millimeter wave communication

Abstract

Millimeter wave (mmWave) communication with Lens antenna array, single-carrier transmission and path delay compensation is a promising technique for realizing cost-effective large Multiple-Input Single-Output (MISO) communications with limited number of Radio Frequency (RF) chains. However, this mmWave communication system has certain issues such as noise inference, power usage, spatial multiplexing, and array gain losses in array system. Minimum Variance Distortion less Response (MVDR) is enhanced to resolve this noise inference and spatial multiplexing. The work is focused to solve the above-mentioned issues. newlineThe first phase of the present research work is focused to maximize the MVDR and minimum Signal-To-Interference-Plus-Noise Ratio (SINR) through effective designing of beam forming and optimal selection of antenna. Power based Antenna selection is proposed at first step and beam forming vector is optimized after the optimal selection of antennas. Improved Group based Particle Swarm Optimization (IGPSO) based antenna selection and Joint adaptive beam forming scheme is proposed with multi-user setup. It has a non-convex constraint, Which is approximated by the Convex constraint .Experimental results show 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 efficiency in terms of Spectrum efficiency and max min rate. In the IGPSO antenna selection scheme, higher array gain losses are caused by beam squint effect. It becomes difficult to the optimization of digital precoding matrix with antenna. To solve this issue, Singular Value Decomposition (SVD) has been introduced for wideband channel matrix in the second phase of the work. newline