In this paper, a neural network based Multiple-Input-Multiple-Output (MIMO) algorithm is presented. The algorithm is specifically designed to be integrated in a coded MIMO-OFDM system, and is based upon projected gradient descent iterations.
Articles
Related Articles
July 2, 2018
Modified re-configurable quadrature balanced power amplifiers for half and full duplex RF front ends
An RF front-end (RFFE) architecture for dual-mode half and full duplex operation, employing a modified quadrature...
Read More >
1 MIN READING
June 6, 2019
Transceiver Architectures for Full Duplex Systems with Unmatched Receiver
In this paper, we present an overview of both the challenges and the state-of-the-art in full...
Read More >
1 MIN READING
January 1, 2024
libFastMesh: An optimized finite-volume framework for computational aeroacoustics
This paper presents an optimized framework for simulating aeroacoustic flow on unstructured meshes. The libFastMesh (LFM)...
Read More >
1 MIN READING