In this paper we study the usage of Convolutional Neural Network (CNN) estimators for the task of Multiple-Input-Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) Channel Estimation (CE).
Articles
Related Articles
May 22, 2019
Time-multiplexed parsing in marking-based network telemetry
Network telemetry is a key capability for managing the health and efficiency of a large-scale network....
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
March 30, 2017
Carrier aggregation receiver employing direct recentred offset receivers
Carrier aggregation supports an increased total bandwidth, data rate and utilization of available fragmented spectrum, where...
Read More >
1 MIN READING