An adaptive beamforming algorithm for millimeter wave MIMO system

In the realm of 5G and beyond, the evolution of wireless communication technologies demands efficient solutions to overcome challenges in Massive Multiple-Input Multiple-Output (MIMO) systems for enhanced Mobile Broadband (eMBB) services. The adaptive beamforming technique leverages the spatial domain to enhance the performance of communication systems by forming directional beams toward desired signals while suppressing interference. In a Massive MIMO scenario, where the number of antennas at the base station is significantly increased, adaptive beamforming becomes crucial for mitigating the interference. This paper explores the application of adaptive beamforming using the conventional Least Mean Squares (LMS) and adaptive gradient (Adagrad) algorithm in the context of MIMO for eMBB use cases. It focuses on the design and optimization of beamforming weights in a Massive MIMO setup, considering the challenges posed by interference. Simulations and performance evaluations are conducted to assess the effectiveness of the adaptive beamforming approach in enhancing the array gain and nullifying the interference signal.