Channel estimation is crucial to achieving wide-area coverage for ultra-low-cost and low-
power narrowband Internet of Things (NB-IoT) devices that are in coverage extremities …

Channel estimation is a challenging and timely issue for the 3rd Generation Partnership
Project (3GPP) standardized low power wide-area network technology named narrowband …

Narrowband Internet of Things (NB-IoT) systems were specified by 3GPP in release 13 as a
low power wide area network (LPWAN) technology to operate with a very narrow bandwidth …

Narrowband Internet of Things (NB‐IoT) is a cellular based promising low‐power wide‐area
network (LPWN) technology standardized by the 3rd Generation Partnership Project (3GPP) …

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 …

3GPP introduced Narrow-Band Internet of Things (NB-IoT) in release-13 with a special
feature to work with only 180 kHz bandwidth. Effective channel estimation is highly important …

In this paper, we propose to improve the performance of the channel estimation for LTE
Downlink systems under the effect of the channel length. As LTE Downlink system is a MIMO …

In this paper, we propose to evaluate the performance of channel estimation techniques for
Long Term Evolution (LTE) Downlink systems based on Zero Padding technique (ZP) …

This paper deals with channel estimation and equalization, as well as noise variance
estimation in uplink narrowband-internet of things (NB-IoT) system. Different techniques are …

Simultaneous acquisition of channel state information (CSI) of many devices with high
accuracy is crucial to provide the Internet-of-Things (IoT) connectivity in cellular networks. A …