18925724. MACHINE LEARNING-BASED RECEIVER IN WIRELESS COMMUNICATION NETWORK (Nokia Solutions and Networks Oy)

MACHINE LEARNING-BASED RECEIVER IN WIRELESS COMMUNICATION NETWORK

Organization Name

Nokia Solutions and Networks Oy

Inventor(s)

Mikko Johannes Honkala of Espoo FI

Janne Matti Juhani Huttunen of Espoo FI

Dani Johannes Korpi of Tampere FI

MACHINE LEARNING-BASED RECEIVER IN WIRELESS COMMUNICATION NETWORK

This abstract first appeared for US patent application 18925724 titled 'MACHINE LEARNING-BASED RECEIVER IN WIRELESS COMMUNICATION NETWORK

Original Abstract Submitted

The present disclosure relates to a machine learning (ML)-based receiver that is invariant to the number of Multiple Input Multiple Output (MIMO) layers it processes. The ML-based receiver is configured, for each MIMO layer, to obtain a set of intermediate estimates by performing an equalization operation based on channel information and an array of symbols received over the MIMO layers, and to obtain a set of final estimates for the array of symbols by using a layer-associated block of a ML model. Each layer-associated block of the ML model is configured to receive the set of intermediate estimates as input data and output the set of final estimates. The layer-associated blocks are configured operate in parallel and exchange weights between each other during a training phase. In some embodiments, the layer-associated blocks may be further configured to exchange the input data between each other during the training and inference phases.