6533b838fe1ef96bd12a455e

RESEARCH PRODUCT

Clustering-Assisted 3D Beamforming for Throughput Maximization in mmWave Networks

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description

Beamforming schemes have been widely used to improve network throughput in 5G mmWave networks. However, 3D beamforming schemes have hereto not been investigated in this context. In this work, a cluster-assisted 3D beamforming scheme is proposed to optimize the downtilt angle for network coverage and throughput maximization. User Equipment (UEs) are clustered based on inter-user and the inter-cluster distances. The interference is accounted from the adjacent clusters and thus frequency resources can be assigned to the non-adjacent clusters. Optimal downtilt angles are obtained for every cluster to maximize the throughput while considering the interference from adjacent clusters. 3D beam patterns are generated for every cluster based on optimal downtilt angles. Also, the Maximal Ratio Combining approach is utilized to compute the inter-cluster interference. Extensive simulations are performed to evaluate the performance of the proposed cluster-assisted 3D beamforming. It is observed that the overall throughput and SINR are significantly improved. The performance of the proposed beamforming scheme with optimal downtilt angles is compared with the conventional beamforming schemes with fixed downtilt angles. Moreover, the proposed scheme performs better in terms of Throughput and Maximal Coupling Loss compared to alternative schemes. Analytical validations motivate the utilisation of the proposed scheme for next-generation mmWave networks.