A survey on machine learning techniques for massive MIMO configurations: Application areas, performance limitations and future challenges

PK Gkonis - IEEE Access, 2022 - ieeexplore.ieee.org
The deployment of fifth-generation (5G) broadband wireless cellular networks has enabled
the support of highly demanding applications, paving the way towards global broadband …

[HTML][HTML] Towards artificial intelligence-aided mimo detection for 6g communication systems: a review of current trends, challenges and future directions

G Omondi, TO Olwal - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
In recent times, artificial intelligence (AI) has gained considerable attention as a highly
promising technology for enhancing the performance of multiple-input multiple-output …

Massive mimo detectors based on deep learning, stair matrix, and approximate matrix inversion methods

MA Albreem, KA Alnajjar, AJ Almasadeh - IEEE Access, 2023 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is an essential technology in fifth-generation
(5G) and beyond 5G (B5G) communication systems. Massive MIMO is employed to meet the …

Advanced Decoding Methods for Massive-MIMO Systems Employing Deep Learning

S Kumar, M Singh - 2024 Fourth International Conference on …, 2024 - ieeexplore.ieee.org
Massive Multiple Input Multiple Output (MIMO) technology has a lot of potential for meeting
wireless communication systems' growing need for large data rates. This work presents a …

A Lightweight, Depth-Wise Separable Convolution-Based CapsNet for Efficient Grape Leaf Disease Detection.

V Narasimman, K Thiyagarajan - Traitement du Signal, 2023 - search.ebscohost.com
The ability to accurately and swiftly detect grape leaf diseases is paramount in preventing
and managing grapevine afflictions. A delay in the identification and treatment of these …