Deep Learning Algorithm for Optimal Hybrid Precoder for mmWave Massive-MIMO in WBAN

Abstract

Hybrid precoding technique reduce the complexity and provides better performance by providing acceptable throughput in the system..In this paper, we have used a neural network to conduct hybrid phased-Zero forcing with poor phase shifter resolution for improved spectral efficiency (HPZFNN). Finally, we have compared performance of the proposed systems to that of the existing system. Simulation results indicate that the HPZFNN hybrid pre-coder architecture method outperforms other approaches with low phase shifter resolution in terms of spectral accuracy. This paper attempts to contribute towards the development of a fifth-generation (5G) wireless infrastructure for ultra-dense networks by providing improved local area (ELA) mm Wave technologies