Performance of Frequency Estimation Techniques with Phase Noise in mm-Wave Based 5G Systems

Abstract

The explosion in the number of worldwide mobile users and the demand for increasing number of application with data hungry systems had led to the development of the 5G communications framework. To enable the 5G system, due to its high data rates, mmWave transmission is considered as a candidate technology. However, one of the key challenging problem in having mmWave transmission for 5G communication is the presence of high phase noise levels compared to the other lower range frequency bands. In this paper we consider frequency estimation for carrier synchronization and study the affect of phase noise in the estimation accuracy. We mainly consider three selected frequency estimation methods namely Quinn's Method, Maximum Likehood Estimation (MLE) and Kay's First Method, and present the mean squared estimation error performance in the presence of phase noise and signal fading conditions by means of simulation based studies.