Real-time machine learning for multi-user massive MIMO: Symbol detection using Multi-Mode StructNet
In this paper, we develop a learning-based symbol detection algorithm for massive MIMO-
OFDM systems. To exploit the structure information inherited in the received signals from …
OFDM systems. To exploit the structure information inherited in the received signals from …
SNNOT: Spiking Neural Network With On-Chip Training for MIMO-OFDM Symbol Detection
Advancing 5G and beyond communications require innovative solutions for symbol
detection in MIMO-OFDM. Our research leverages Spiking Neural Networks (SNNs) …
detection in MIMO-OFDM. Our research leverages Spiking Neural Networks (SNNs) …
Dynamic Conjugate Gradient Unfolding for Symbol Detection in Time-Varying Massive MIMO
T Olutayo, B Champagne - IEEE Open Journal of Vehicular …, 2024 - ieeexplore.ieee.org
This paper addresses the problem of symbol detection in time-varying Massive Multiple-
Input Multiple-Output (M-MIMO) systems. While conventional detection techniques either …
Input Multiple-Output (M-MIMO) systems. While conventional detection techniques either …
2D-RC: Two-Dimensional Neural Network Approach for OTFS Symbol Detection
Orthogonal time frequency space (OTFS) is a promising modulation scheme for wireless
communication in high-mobility scenarios. Recently, a reservoir computing (RC) based …
communication in high-mobility scenarios. Recently, a reservoir computing (RC) based …
[HTML][HTML] Integrated Mobile Visible Light Communication and Positioning Systems Based on Decision Feedback Channel Estimation
R Wang, Y Sun, Z Liu, M Gao, X You - Photonics, 2024 - mdpi.com
Visible light communication (VLC) and visible light positioning (VLP) systems are usually
designed separately to prevent mutual interference, while terminal mobility often introduces …
designed separately to prevent mutual interference, while terminal mobility often introduces …
Neural Network-based Two-Dimensional Filtering for OTFS Symbol Detection
Orthogonal time frequency space (OTFS) is a promising modulation scheme for wireless
communication in high-mobility scenarios. Recently, a reservoir computing (RC) based …
communication in high-mobility scenarios. Recently, a reservoir computing (RC) based …
Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG
Integration of artificial intelligence (AI) and machine learning (ML) into the air interface has
been envisioned as a key technology for next-generation (NextG) cellular networks. At the …
been envisioned as a key technology for next-generation (NextG) cellular networks. At the …
An advanced neuromorphic accelerator on FPGA for next-G spectrum sensing
MF Azmine - 2024 - vtechworks.lib.vt.edu
In modern communication systems, it's important to detect and use available radio
frequencies effectively. However, current methods face challenges with complexity and …
frequencies effectively. However, current methods face challenges with complexity and …