公开(公告)号：US20250062936A1

公开(公告)日：2025-02-20

申请号：US18717870

申请日：2021-12-10

Applicant: Nokia Solutions and Networks Oy

Inventor： Luiz Fernando MEDEIROS ,  Milan ZIVKOVIC

IPC: H04L25/02 ,  H04L5/00

Abstract: Radio receiver devices and related methods and computer programs are disclosed. A radio signal comprising a pilot signal is received at a radio receiver device over a radio channel. Raw channel estimation of the radio channel is performed based on the received pilot signal, thereby obtaining a raw channel estimate. The raw channel estimate is processed. The processing of the raw channel estimate comprises applying a neural network, NN, to the raw channel estimate. The NN comprises at least one fully connected layer and at least one convolutional layer. The NN is executable to encode the raw channel estimate by mapping the raw channel estimate into an alternate domain, thereby obtaining an encoded channel estimate. The NN is further executable to decode the encoded channel estimate by mapping the encoded channel estimate to a frequency-interpolated channel estimate.

公开(公告)号：US20240364562A1

公开(公告)日：2024-10-31

申请号：US18644319

申请日：2024-04-24

Applicant: Nokia Solutions and Networks Oy

Inventor： Jafar Mohammadi ,  Milan ZIVKOVIC

IPC: H04L25/02

CPC classification number: H04L25/0204 ,  H04L25/0254

Abstract: A technical solution is provided, which enhances the performance of Machine Learning (ML)-based channel estimation by using two different pilot sequences. More specifically, a first pilot sequence (e.g., a sequence of Demodulation Reference Signals (DMRSs)) is designed to track a change in a wireless communication channel in a frequency domain, while a second pilot sequence (e.g., a sequence of Phase-Tracking RSs (PTRSs)) is designed to track a change in the wireless communication channel in a time domain. By using the first and second pilot sequences thus designed, raw channel estimates in the frequency and time domains, respectively, are obtained on a receiving side. Then, the raw channel estimates are fed to a ML model that is configured to predict a full (time-frequency) channel estimate based thereon. The full channel estimate may be subsequently used in a data decoding algorithm executed on the receiving side.