Cellular LTE-A technologies for the future Internet-of-Things: Physical layer features and challenges

M Elsaadany, A Ali, W Hamouda - … Communications Surveys & …, 2017 - ieeexplore.ieee.org
Human-generated information has been the main interest of the wireless communication
technologies designs for decades. However, we are currently witnessing the emerge of an …

LMMSE channel estimation in OFDM context: a review

V Savaux, Y Louët - IET Signal Processing, 2017 - Wiley Online Library
Linear minimum mean square error (LMMSE) is by definition the optimal channel estimator
in the sense of mean square error criterion, but its practical application is limited by its high …

Compression-based LMMSE channel estimation with adaptive sparsity for massive MIMO in 5G systems

L Ge, Y Zhang, G Chen, J Tong - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Massive multi-input multi-output (MIMO) has been regarded as one of the key technologies
for fifth generation (5G) mobile communication systems, as it can significantly enhance the …

New MMSE downlink channel estimation for sub-6 GHz non-line-of-sight backhaul

A Chehri, HT Mouftah - 2018 IEEE Globecom Workshops (GC …, 2018 - ieeexplore.ieee.org
The minimum mean square error (MMSE) channel estimator employs the second-order
statistics of the channel condition to minimize the mean square error. The major …

LTE-Advanced Downlink Channel Estimation under Minimum Resource Allocation with DM-RS

YH Lin, DW Lin - 2018 IEEE 87th Vehicular Technology …, 2018 - ieeexplore.ieee.org
The LTE-Advanced defines a way of downlink mult-input multi-output (MIMO) transmission
that supports non-codebook-based precoding with minimum resource allocation consisting …

A compressive channel sensing method with optimal thresholding for OFDM systems under fast fading channels

D Fu, Y Peng, S Zheng - 2016 IEEE Wireless Communications …, 2016 - ieeexplore.ieee.org
In Orthogonal Frequency Division Multiplexing (OFDM) systems, the high-speed movement
between the transmitter and receiver would cause large Doppler shifts, which will degrade …

Joint Sparse-AR Model Based OFDM Compressed Sensing Time-Varying Channel Estimation

S Li, K You, Y Liu, W Guo - … Processing, and Systems: Proceedings of the …, 2019 - Springer
In this paper, a time-varying channel estimation method based on compressed sensing (CS)
is studied to reduce the pilot overhead for orthogonal frequency division multiplexing …

Enabling Technologies for Internet of Things: Licensed and Unlicensed Techniques

M Elsaadany - 2018 - spectrum.library.concordia.ca
The Internet of Things (IoT) is a novel paradigm which is shaping the evolution of the future
Internet. According to the vision underlying the IoT, the next step in increasing the ubiquity of …

[引用][C] LTE-A 中UE 专用参考信号的解调算法与实现

黄菲, 丁月友 - 无线电通信技术, 2017

[引用][C] LTE-A 系统中基于DMRS 的信道估计算法

段红光, 田枚, 李玉菱 - 通信技术, 2016