A Novel Channel Estimation Framework in MIMO Using Serial Cascaded Multiscale Autoencoder and Attention LSTM with Hybrid Heuristic Algorithm
BMR Manasa, V Pakala, R Chinthaginjala, M Ayadi… - Sensors, 2023 - mdpi.com
In wireless communication, multiple signals are utilized to receive and send information in
the form of signals simultaneously. These signals consume little power and are usually …
the form of signals simultaneously. These signals consume little power and are usually …
[HTML][HTML] Dingo optimization influenced arithmetic optimization–Clustering and localization algorithm for underwater acoustic sensor networks
Underwater acoustic sensor networks (UASNs) are quickly being used in environmental
monitoring, marine life observation, and underwater resource research. This paper …
monitoring, marine life observation, and underwater resource research. This paper …
A Survey of Federated Learning for mmWave Massive MIMO
VA Nugroho, BM Lee - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Millimeter wave massive multi input multi output (mmWave m-MIMO) holds immense
potential for beyond 5G networks, however its practical implementation faces hurdles in …
potential for beyond 5G networks, however its practical implementation faces hurdles in …
Efficient detectors for uplink massive MIMO systems
Massive multiple-input multiple-output (MIMO) is one of the essential technologies in beyond
fifth generation (B5G) communication systems due to its impact in attaining high power …
fifth generation (B5G) communication systems due to its impact in attaining high power …
On the Performance of MMSE Channel Estimation in Massive MIMO Systems over Spatially Correlated Rician Fading Channels
JF Arellano, CD Altamirano… - Wireless …, 2024 - Wiley Online Library
Massive multiple‐input‐multiple‐output (M‐MIMO) offers remarkable advantages in terms of
spectral, energy, and hardware efficiency for future wireless systems. However, its …
spectral, energy, and hardware efficiency for future wireless systems. However, its …
Fast Converging Gauss–Seidel Iterative Algorithm for Massive MIMO Systems
D Shen, L Chen, H Liang - Applied Sciences, 2023 - mdpi.com
Signal detection in massive MIMO systems faces many challenges. The minimum mean
square error (MMSE) approach for massive multiple-input multiple-output (MIMO) …
square error (MMSE) approach for massive multiple-input multiple-output (MIMO) …
A Low-Complexity Iterative Detection algorithm for Uplink Massive MIMO Systems
IA Khoso, CG Kang - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Linear minimum mean square error (MMSE) detector achieves nearly optimal performance
for massive multiple-input multiple-output (MIMO) systems, but its complexity is significantly …
for massive multiple-input multiple-output (MIMO) systems, but its complexity is significantly …
An Ordered QR Decomposition based Signal Detection Technique for Uplink Massive MIMO System
JP Patra, B Bhusan Pradhan… - Infocommunications …, 2024 - real.mtak.hu
Signal detection turns out to be a critical challenge in massive MIMO (m-MIMO) system due
to the deployment of large number of antennas at the base station. Although, the minimum …
to the deployment of large number of antennas at the base station. Although, the minimum …