Interference Management by Adaptive Beamforming Algorithm in Massive MIMO Networks

Wireless communications systems are the most prosperous technologies of this decade. Driven by newfangled innovative applications such as internet of things and augmented reality, this trend certainly continues exponentially. Massive MIMO technique use almost infinite number of antennas at the base station are expected to play a key role in future communication systems as part of horizon 2020 project. However, the large number of antenna elements in massive MIMO also pose a major challenge, due to the interference is the main impairment to successful communication. In this paper, we propose an original massive MIMO system. Adaptive Beamforming algorithm’s used since it is a promising solution in order to avoid interference problems where conventional beamformers are susceptible to interference signals on the contrary the algorithm can account for interference signals, the simulate results evaluate the interference inter-beams by giving the coherence between the different beams which each beam is appropriate to a specific terminal in communication system and demonstrates the effectiveness of our solution to mitigate interference, thereby contributing to the increase of network capacity. Our research affords a suitable solution for the design of next-generation wireless communication systems.