DeepAI AI Chat
Log In Sign Up

DeepTx: Deep Learning Beamforming with Channel Prediction

by   Janne M. J. Huttunen, et al.

Machine learning algorithms have recently been considered for many tasks in the field of wireless communications. Previously, we have proposed the use of a deep fully convolutional neural network (CNN) for receiver processing and shown it to provide considerable performance gains. In this study, we focus on machine learning algorithms for the transmitter. In particular, we consider beamforming and propose a CNN which, for a given uplink channel estimate as input, outputs downlink channel information to be used for beamforming. The CNN is trained in a supervised manner considering both uplink and downlink transmissions with a loss function that is based on UE receiver performance. The main task of the neural network is to predict the channel evolution between uplink and downlink slots, but it can also learn to handle inefficiencies and errors in the whole chain, including the actual beamforming phase. The provided numerical experiments demonstrate the improved beamforming performance.


Model-driven Learning for Generic MIMO Downlink Beamforming With Uplink Channel Information

Accurate downlink channel information is crucial to the beamforming desi...

DeepRx: Fully Convolutional Deep Learning Receiver

Deep learning has solved many problems that are out of reach of heuristi...

Transmitter Classification With Supervised Deep Learning

Hardware imperfections in RF transmitters introduce features that can be...

Channel charting based beamforming

Channel charting (CC) is an unsupervised learning method allowing to loc...

Joint Downlink-Uplink Beamforming for Wireless Multi-Antenna Federated Learning

We study joint downlink-uplink beamforming design for wireless federated...

A Deep Learning Framework for Optimization of MISO Downlink Beamforming

Beamforming is an effective means to improve the quality of the received...

A Big Data Enabled Channel Model for 5G Wireless Communication Systems

The standardization process of the fifth generation (5G) wireless commun...