Cluster-based 3D-Beam Power Management in Resource-Constrained Wireless Networks

• Main Authors: Sironja, Poorva, Redhu, Surender, Hegde, Rajesh M, Beferull-Lozano, Baltasar
• Format: Conference Proceeding
• Language: English
• Subjects: 3D beams; cluster-based beamforming; mmWave; outlier identification; Power demand; Power system management; Quality of service; Solid modeling; Three-dimensional displays; Throughput; Transmitters; Wireless networks
• ISSN: 2155-2509
• DOI: 10.1109/COMSNETS53615.2022.9668343

Various applications of wireless 5G networks demand high throughput for improving the Quality of Service. Power management of the beams plays a key role in improving the throughput in 5G-mmWave networks. However, resource constraints make beam generation a challenging issue. In this work, cluster-based 3D beam power management schemes are proposed for improving the throughput in resource-Constrained wireless networks. Firstly, the network users are divided into a number of groups. 3D beam patterns are generated from the transmitter to maximize the throughput of users based on clustering information. The proposed cluster-based beam management scheme considers a limited amount of power resources at the transmitter. Available transmit power is distributed optimally to every cluster in the network. The performance is improved further by identifying the outliers in the clusters. The tradeoff between the transmit power and users served decides the threshold on outlier detection. The performance of proposed cluster-based 3D beam patterns is evaluated under different network scenarios using numeric simulations. The proposed method shows significant improvements in terms of throughput, network coverage, average signal-to-noise ratio (SNR), and transmit power consumption. The performance of the proposed methods is also compared with the alternative schemes under power-constrained scenarios.