Optimal symbol detection for multiple-input multiple-output (MIMO) systems is known to be
an NP-hard problem. Conventional heuristic algorithms are either too complex to be …

Innovation in the physical layer of communication systems has traditionally been achieved
by breaking down the transceivers into sets of processing blocks, each optimized …

New network architectures, such as the Internet of Things (IoT), 5G, and next-generation
(NextG) cellular systems, put forward emerging challenges to the design of future wireless …

This is the second part of a two-part paper that focuses on link-adaptation (LA) and physical
layer (PHY) abstraction for multi-user MIMO (MU-MIMO) systems with non-linear receivers …

A 5G cellular system has evolved to support wider bandwidth with more resource elements
(REs) in order to accommodate the emerging request for a very high date rate. A baseband …

We propose a unified multi-layer perceptron (MLP) network to select an appropriate multiple-
input, multiple-output (MIMO) detector for high-order quadrature amplitude modulations …

L'innovation dans la couche physique a traditionnellement été réalisée en modélisant les
émetteurs-récepteurs comme une suite de blocs, chacun étant optimisé indépendamment …

US11625610B2 - Multiple-input multiple-output (MIMO) detector selection using neural network
- Google Patents US11625610B2 - Multiple-input multiple-output (MIMO) detector selection …

Embodiments can include receiving transmissions over a channel at a receiver of a MIMO
communication system; the transmissions are received from a plurality of transmitters in …