Spectral and energy efficient low-overhead uplink and downlink channel estimation for 5G massive MIMO systems
Uplink and Downlink channel estimation in massive Multiple Input Multiple Output (MIMO)
systems is an intricate issue because of the increasing channel matrix dimensions. The …
systems is an intricate issue because of the increasing channel matrix dimensions. The …
Optimal pilot design in massive MIMO systems based on channel estimation
The performance of multicell massive multiple‐input multiple‐output (MIMO) systems is
heavily affected by pilot contamination. This study considers the problem of pilot …
heavily affected by pilot contamination. This study considers the problem of pilot …
Robust massive MIMO channel estimation for 5G networks using compressive sensing technique
The pilot overhead provides fundamental limits on the performance of massive multiple-
input multiple-output (MIMO) systems. This is because the performance of such systems is …
input multiple-output (MIMO) systems. This is because the performance of such systems is …
Data detection in single user massive MIMO using re-transmissions
K Vasudevan, K Madhu, S Singh - arXiv preprint arXiv:1811.11369, 2018 - arxiv.org
Single user massive multiple input multiple output (MIMO) can be used to increase the
spectral efficiency, since the data is transmitted simultaneously from a large number of …
spectral efficiency, since the data is transmitted simultaneously from a large number of …
Low-complexity LSQR-based linear precoding for massive MIMO systems
T Xie, Z Lu, Q Han, J Quan… - 2015 IEEE 82nd Vehicular …, 2015 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) using a large number of antennas at the base
station (BS) is a promising technique for the next-generation 5G wireless communications. It …
station (BS) is a promising technique for the next-generation 5G wireless communications. It …
Block expectation propagation for downlink channel estimation in massive MIMO systems
To address the challenging problem of downlink channel estimation with low pilot overhead
in massive multiple-input multiple-output (MIMO) systems, an empirical Bayesian block …
in massive multiple-input multiple-output (MIMO) systems, an empirical Bayesian block …
Structured compressive sensing‐based non‐orthogonal time‐domain training channel state information acquisition for multiple input multiple output systems
In practical multiple input multiple output (MIMO) systems, accurate knowledge of the
channel state information (CSI) is a prerequisite to guarantee the system performance. The …
channel state information (CSI) is a prerequisite to guarantee the system performance. The …
Machine learning for channel estimation
Y Cao, N Nanda - US Patent 10,911,266, 2021 - Google Patents
Systems and methods are disclosed for performing training using superimposed pilot
subcarriers to determine training data. The training includes starting with a training duration …
subcarriers to determine training data. The training includes starting with a training duration …
Massive MIMO channel estimation based on block iterative support detection
Massive MIMO has become a promising key technology for future 5G wireless
communications to increase the channel capacity and link reliability. However, with greatly …
communications to increase the channel capacity and link reliability. However, with greatly …
Low‐complexity large‐scale multiple‐input multiple‐output channel estimation using affine combination of sparse least mean square filters
Large‐scale multiple‐input multiple‐output (MIMO) system is considered one of promising
technologies to realise next‐generation wireless communication system (5G). So far …
technologies to realise next‐generation wireless communication system (5G). So far …