Analysis of Hybrid Precoding in Millimeter Wave Communication System

Abstract

The fulfilment of bandwidth requirement is the main challenge in modern communication system due to high rise in cellular data demand. The utilization of 5G mobile network that is based on Millimeter wave (MMW) communication provides an enormous bandwidth. Propagation loss is an important issue that reduces coverage area, signal power and impairs communication performance. Hybrid Precoding has been recently proposed as a powerful technique to realize mm-wave communication in 5G networks. Multi-resolution codebook and adaptive estimation algorithm helps in estimating channel weights efficiently. To realize sufficient link margin, MMW system use large number of antennas at transmitter and receiver side. Due to high cost and power consumption of multiple antennas and RF chains an analysis is performed to select best combination of antennas and RF chains at transmitter and receiver. In this paper, we analyze the performance of estimation algorithm with respect to the selection of RF chains, number of antennas, effect of bit error rate, selection of resolution parameters and precoding vectors. The analysis gives an excellent trade-off between cost, hardware size, critical synchronization time, power consumption and performance. It also helps in selecting proper parameters according to the requirements.