An Efficient Beamformer for Interference Suppression Using Rectangular Antenna Arrays

Over the past ten years, the development of fifth-generation cellular network technology opens the door to the deployment of huge sensors inside the Internet of Things (IoT), challenging the technologies of communications. IoT establishes wireless communication between numerous physical things to connect them over the Internet, as a result, these things may seriously pollute the environment for electromagnetic propagation. This paper proposes an efficient beamformer based on binary bat algorithm for interference suppression in wireless technology applications. The proposed beamformer utilizes the technique of controlling only the phase of excitation weights in uniform rectangular arrays. This beamformer can produce optimal patterns with minimal distortions in sidelobe regions while maintaining the main lobe and placing nulls in the direction of interfering signals. To demonstrate this ability, the proposed beamformer is evaluated through several scenarios and compared to a beamformer based on Binary Particle Swarm Optimization (BPSO). The results show that the proposed beamformer maintains the main lobe toward the desired user direction while imposing nulls in unwanted user directions (interferences) and that it surpassed BPSO-based beamformers in terms of convergence speed and interference suppression ability.