公开(公告)号：US20240106682A1

公开(公告)日：2024-03-28

申请号：US18471589

申请日：2023-09-21

Applicant: Nokia Solutions and Networks Oy

Inventor： Aliye KAYA ,  Luiz Fernando MEDEIROS

IPC: H04L25/02 ,  H04L5/00

CPC classification number: H04L25/0204 ,  H04L5/0048 ,  H04L25/0224

Abstract: Disclosed is a method comprising generating a preamble matrix comprising a plurality of entries, wherein at least a subset of the plurality of entries indicate random-access preambles; obtaining a sequence encoded with the preamble matrix; and transmitting the sequence to one or more user devices.

公开(公告)号：US20250126652A1

公开(公告)日：2025-04-17

申请号：US18726066

申请日：2022-01-10

Applicant: Nokia Solutions and Networks Oy

Inventor： Aliye KAYA ,  Harish VISWANATHAN ,  Luiz Fernando MEDEIROS

IPC: H04W74/0833 ,  H04L27/26

Abstract: Physical random access channel (PRACH) radio receiver devices and related methods and computer programs are disclosed. An uplink (UL) synchronization signal is received at a radio receiver device. The UL synchronization signal comprises a PRACH preamble. The PRACH preamble comprises a preamble sequence set. The radio receiver device extracts the preamble sequence set. The radio receiver device applies a neural network (NN) to the extracted preamble sequence set to determine a physical root sequence index, an associated cyclic shift value, and/or a timing offset value, for at least one preamble sequence instance in the extracted preamble sequence set. The radio receiver device further applies the NN to output at least one of the determined physical root sequence index, the associated cyclic shift value, and/or the timing offset value, for the at least one preamble sequence instance in the extracted preamble sequence set.

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.