CONVOLUTIONAL NEURAL NETWORKS BASED COMPUTATIONALLY EFFICIENT METHOD FOR EQUALIZATION IN FBMC-OQAM SYSTEM
Patent №
US 11,368,349
Granted
2022-06-21
Filed 2021
Owner
KING ABDULAZIZ UNIVERSITY
Lab
—
AI components
2
ml · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
17526619
A filter bank multi-carrier (FBMC)-offset quadrature amplitude modulation (OQAM) system is disclosed. The FBMC-OQAM system includes a processing circuitry which is configured to receive a signal over a transmission medium, equalize the signal by a convolution neural network (CNN) equalizer, wherein the CNN equalizer is configured to estimate the received signal without performing channel estimation, and output the estimated signal as a bit stream.
AI classification
Ownership
KING ABDULAZIZ UNIVERSITY
assignment · 581150650
Assignors
MOINUDDIN, MUHAMMAD, AL-SAGGAF, UBAID M., ALSAGGAF, ABDULRAHMAN U., KHAN, SHUJAAT, RIZVI, SYED SAJJAD HUSSAIN
On an employer assignment, the assignors are typically the inventors.