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.
