Title
Blind Weighted Least-Squares Frequency Offset Estimation Method for LTE Machine-Type Communications
Abstract
A key challenge associated with cellular-based machine-type communication (MTC) is to provide better coverage enhancement (CE) along with low power consumption for MTC user equipments (UEs). Due to the limitation on total power allowed for transmission, it is required to estimate frequency error in very low signal-to-noise ratio condition. In this article, an effective frequency offset estimation method is presented for MTC in a long term evolution system. The proposed method applies the repetitive nature of the MTC physical broadcast channel to the weighted least-squares estimation technique. Both analytical and simulation results are provided to corroborate the feasibility of the proposed method. It is shown that the proposed estimation scheme is more efficient for CE of MTC UEs, compared to the existing method.
Year
DOI
Venue
2019
10.1109/JIOT.2019.2932089
IEEE Internet of Things Journal
Keywords
Field
DocType
OFDM,Estimation,Frequency estimation,Internet of Things,Synchronization,Signal to noise ratio,Frequency-domain analysis
Least squares,Computer science,Frequency offset,Algorithm,Distributed computing
Journal
Volume
Issue
ISSN
6
6
2327-4662
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yong-An Jung112.05
Moo-Young Kim25010.64
Hyoung-kyu Song351395.47
Young-Hwan You436273.70