TY - JOUR N2 - With the advent of massive MIMO and mmWave, Antenna selection is the new frontier in hybrid beamforming employed in 5G base stations. Tele-operators are reworking on the components while upgrading to 5G where the antenna is a last-mile device. The burden on the physical layer not only demands smart and adaptive antennas but also an intelligent antenna selection mechanism to reduce power consumption and improve system capacity while degrading the hardware cost and complexity. This work focuses on reducing the power consumption and finding the optimal number of RF chains for a given millimeter wave massive MIMO system. At first, we investigate the power scaling method for both perfect Channel State Information (CSI) and imperfect CSI where the power is reduced by ��/���� and ��/√���� respectively. We further propose to reduce the power consumption by emphasizing on the subdued resolution of Analog-to-Digital Converters (ADCs) with quantization awareness. The proposed algorithm selects the optimal number of antenna elements based on the resolution of ADCs without compromising on the quality of reception. The performance of the proposed algorithm shows significant improvement when compared with conventional and random antenna selection methods. L1 - http://www.czasopisma.pan.pl/Content/117104/PDF/73_2453_Nalband_skl.pdf L2 - http://www.czasopisma.pan.pl/Content/117104 PY - 2020 IS - No 3 EP - 535 DO - 10.24425/ijet.2020.134009 KW - Antenna Selection KW - Massive MIMO KW - millimeter Wave KW - 5G KW - Hybrid Beamforming KW - Power Scaling A1 - Nalband, Abdul Haq A1 - Sarvagya, Mrinal A1 - Ahmed, Mohammed Riyaz PB - Polish Academy of Sciences Committee of Electronics and Telecommunications VL - vol. 66 DA - 2020.09.17 T1 - Power Scaling and Antenna Selection Techniques for Hybrid Beamforming in mmWave Massive MIMO Systems SP - 529 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/117104 T2 - International Journal of Electronics and Telecommunications ER -