Pilot Compression Analysis for Feedback Based Channel Estimation Model in FDD Massive MIMO

Abstract

Massive MIMO systems are being incorporated in 5G wireless networks owing to its high spectral efficiency. In order to achieve this efficiency, we require accurate Channel State Information (CSI) which is acquired by a training performing pilot transmission, CSI estimation and feedback. In this work, a novel technique for performing this task is proposed where channel estimation is performed at the base station. The work also proposes pilot compression for this system model. The base station sends compressed pilots to the user equipment in the downlink channel which amplifies and forwards the received signal and relays it back to the base station in the uplink channel. The performance analysis for this system model has been simulated using MATLAB and is expressed in terms of the NMSE values for different levels of compression.