Network nodes and methods performed in a wireless communication network
AssigneeTelefonaktiebolaget LM Ericsson (publ)
InventorMaksym Girnyk
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Abstract
Embodiments herein relate to a method performed by a network node for handling communication in a wireless communication network. The network node selects a precoder given a channel based on output of a trained computational model, trained with approximated precoders or channel matrices mapped to preferred precoders, and transmits data over the channel using the selected precoder.
Claims17
A method performed by a network node for handling communication in a wireless communication network, the method comprising:
- selecting a precoder given a channel based on output of a trained computational model, trained with one of approximated precoders and channel matrices mapped to preferred precoders;
- transmitting data over the channel using the selected precoder;
- and
- the approximated precoders comprises one of singular-value decomposition, SVD, based precoders and optimized precoders for lower-order discrete constellations.
A method performed by a model network node for handling communication in a wireless communication network, the method comprising:
- training a computational model with one of approximated precoders and channel matrices mapped to preferred precoders for selecting a precoder given a channel based on an output of the trained computational model;
- and
- transferring one of the trained computational model and the output of the computational model to a network node.
A network node for handling communication in a wireless communication network, the network node being configured to:
- select a precoder given a channel based on output of a trained computational model, trained with one of approximated precoders and channel matrices mapped to preferred precoders;
- transmit data over the channel using the selected precoder;
- and
- the approximated precoders comprising one of singular-value decomposition, SVD, based precoders, and optimized precoders for lower-order discrete constellations.
A model network node for handling communication in a wireless communication network, the model network node being configured to:
- train a computational model with one of approximated precoders and channel matrices mapped to preferred precoders for selecting a precoder given a channel based on an output of the trained computational model, and
- transfer one of the trained computational model and the output of the computational model to a network node.
Dependencies are inferred from the claim text.