An Efficient Channel Estimation Technique in NB-IoT Systems

Abstract

In this paper, a novel low-complexity channel estimation algorithm with estimation error suppression based on the conventional least squares (LS) method is proposed for downlink narrowband internet of things (NB-IoT) systems. This algorithm suppresses channel estimation error by employing additional operations on conventional LS method without exploiting extra frequency-band resources. The potentiality of the proposed algorithm is substantiated through extensive simulations in terms of channel mean square error (MSE) and block error rate (BLER) against signal-to-noise ratio (SNR). Simulation results vindicate that our proposed algorithm outperforms the conventional LS algorithm.