Energy Efficiency Analysis of RLS-MUSIC based Smart Antenna System for 5G Network

This paper proposes a novel energy efficient beamforming and DOA estimation scheme called RLS-MUSIC algorithm. First, we study different adaptive beamforming algorithms and receive signal Degree-of-Arrival (DOA) estimation techniques for wireless communication network application in reference to their effect on energy efficiency. Taking linear array smart antenna elements geometry, which is mostly used antenna array geometry, Recursive Least Square (RLS) adaptive beam-forming algorithm and Multiple Signal Classification (MUSIC) DOA estimation technique are identified as the reference input methods to model the new energy efficient scheme. Using an energy model, which is as a function of beam-width, signal transmission strength (range), and signal-to-noise-interference ratio (SNIR), we evaluate the total amount of energy spent during beam-formation. Finally, the energy gain due to RLS-MUSIC scheme is compared with that of RLS alone. The results show that the RLS-MUSIC scheme based access-points/base-station antenna systems consume less energy during beam formation and they generate beams with narrower beam-width, lower side lobe level and better deep null.