公开(公告)号：US20250106723A1

公开(公告)日：2025-03-27

申请号：US18893413

申请日：2024-09-23

Applicant: Nokia Technologies Oy

Inventor： Lei DU ,  Johannes HEJSELBAEK ,  Fahad SYED MUHAMMAD

IPC: H04W36/30 ,  H04W36/00 ,  H04W72/0453

Abstract: Embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media for switching period indication. The method comprising: at a first apparatus, determine a first switching period during which the first apparatus at least switches from a first frequency band to a second frequency band; determine that the first switching period is different from a second switching period indicated to a second apparatus for frequency band switching; based on determining that the first switching period is different from the second switching period, transmit, to the second apparatus, update information associated with the first switching period.

公开(公告)号：US20250056288A1

公开(公告)日：2025-02-13

申请号：US18784301

申请日：2024-07-25

Applicant: Nokia Technologies Oy

Inventor： Fahad SYED MUHAMMAD ,  Bharath Ramesh Kashyap ,  Wolfgang Zirwas ,  Dimitri Gold

IPC: H04W24/10 ,  H04B7/06 ,  H04L5/00 ,  H04W24/02

Abstract: Example embodiments of the present disclosure relate to obtaining of measured information and predicted information related to an Artificial Intelligence (AI)/Machine Learning (ML) model. In an example method, a first apparatus performs, during a first time period, first one or more measurements to obtain first measured information related to the first time period. The first apparatus determines, based on the first measured information, predicted information related to a second time period which is after the first time period. The first apparatus performs, during the second time period, second one or more measurements to obtain second measured information related to the second time period. The first apparatus transmits, to a second apparatus, the second measured information and the predicted information. In this way, a test mechanism framework may evaluate the prediction accuracy for AI/ML based prediction use case.

公开(公告)号：US20250048319A1

公开(公告)日：2025-02-06

申请号：US18789597

申请日：2024-07-30

Applicant: Nokia Technologies Oy

Inventor： Deepa MALAPATI RAVINDRAIAH ,  Fahad SYED MUHAMMAD ,  Afef FEKI ,  Dimitri GOLD ,  Muhammad Ikram ASHRAF

IPC: H04W64/00 ,  G06N5/04

Abstract: Systems, methods, apparatuses, and computer program products for verifying positioning accuracy. One method may include transmitting, by testing equipment, a request to measure location coordinates to a device, receiving, by the testing equipment, from the device, a model inference comprising at least one location coordinate, and determining, by the testing equipment, whether a difference between the model inference and at least one ground truth is within a threshold value for a defined number of samples, wherein the at least one ground truth comprises at least one known location coordinate of a test point.

公开(公告)号：US20220182997A1

公开(公告)日：2022-06-09

申请号：US17532443

申请日：2021-11-22

Applicant: NOKIA TECHNOLOGIES OY

Inventor： Afef FEKI ,  Fahad SYED MUHAMMAD ,  Veronique CAPDEVIELLE ,  Muhammad Majid BUTT

IPC: H04W72/04

Abstract: A method comprising receiving a first indication, from a terminal device, indicating that the terminal device is capable of supporting carrier aggregation, obtaining information regarding a battery level of the terminal device, estimating battery consumption per one carrier component, and based, at least partly, on the estimated battery consumption and information regarding the battery level, determining a number of additional carrier components to be activated for the terminal device.

公开(公告)号：US20250105898A1

公开(公告)日：2025-03-27

申请号：US18819022

申请日：2024-08-29

Applicant: Nokia Technologies Oy

Inventor： Rachit MAHENDRA ,  Bharath Ramesh KASHYAP ,  Dimitri GOLD ,  Fahad SYED MUHAMMAD

IPC: H04B7/06 ,  H04W24/02

Abstract: Embodiments of the present disclosure relate to a test framework to evaluate the CSI prediction accuracy for AI/ML based CSI prediction use case without the need for the DUT to send the ground truth to the test equipment separately. Further, embodiments of the present disclosure propose a procedure to obtain the parameter values predicted by the DUT and the corresponding ground truth at the TE side independently during the conformance testing.

公开(公告)号：US20250062858A1

公开(公告)日：2025-02-20

申请号：US18806964

申请日：2024-08-16

Applicant: Nokia Technologies Oy

Inventor： Bharath Ramesh KASHYAP ,  Fahad SYED MUHAMMAD ,  Dimitri GOLD ,  Jee Hyun KIM

IPC: H04L1/00 ,  H04L5/00

Abstract: Embodiments of the present disclosure relate to apparatuses, methods, devices and computer readable storage medium for two-sided model-based communication functionality. In a method, a first apparatus obtains a reference data set of a communication functionality. The reference data set includes reference data associated with a plurality of terminal devices, a plurality of network devices and at least one test equipment. The first apparatus updates a reference encoder of the communication functionality based on at least the reference data. The first apparatus updates a reference decoder of the communication functionality based on at least the reference data. At least one of the updated reference encoder or the updated reference decoder is used for optimization of the communication functionality by a further apparatus.

公开(公告)号：US20240345935A1

公开(公告)日：2024-10-17

申请号：US18586875

申请日：2024-02-26

Applicant: Nokia Technologies Oy

Inventor： Bharath Ramesh KASHYAP ,  Vinayak BELLUR ,  Dimitri GOLD ,  István Zsolt KOVÁCS ,  Fahad SYED MUHAMMAD ,  Sakira HASSAN

IPC: G06F11/34 ,  G06F11/22 ,  G06F11/27

CPC classification number: G06F11/3447 ,  G06F11/2273 ,  G06F11/27

Abstract: An apparatus configured to: enter a test mode; receive, from a test equipment, an indication of at least one first model used at a first side of a two-sided model; request, from a model repository, at least one second model for use at a second side of the two-sided model, wherein the at least one second model is selected based, at least partially, on the at least one first model; and receive, from the model repository, the at least one second model. An apparatus configured to: receive, from a test equipment, a model validation request; provide a data set to at least one model to obtain an inference validation response, wherein the at least one model is used at a first side of a two-sided model; transmit, to the test equipment, the inference validation response; and receive, from the test equipment, a validation sequence result.

公开(公告)号：US20250150186A1

公开(公告)日：2025-05-08

申请号：US18931323

申请日：2024-10-30

Applicant: Nokia Technologies Oy

Inventor： Fahad SYED MUHAMMAD ,  Deepa MALAPATI RAVINDRAIAH ,  Afef FEKI ,  Dimitri GOLD

IPC: H04B17/391 ,  H04W64/00

Abstract: Test equipment (TE) may, while in a test configuration, cause transmission of a first reference signal for receipt by a communication device under test (DUT). The TE may receive a first line-of-sight indicator value as determined by the DUT in accordance with a method having a known accuracy. While in the test configuration, the TE may cause transmission of a second reference signal for receipt by the DUT. The TE may receive a second line-of-sight indicator value as determined by the DUT based at least in part on a trained machine learning (ML) model. The TE may determine an error value between the first line-of-sight indicator value and the second line-of-sight indicator value. Based at least in part on the error value, the TE may determine whether the trained ML model passes a conformance test related to estimation of line-of-sight indicator values by the trained ML model.

公开(公告)号：US20230409962A1

公开(公告)日：2023-12-21

申请号：US18031383

申请日：2020-10-29

Applicant: NOKIA TECHNOLOGIES OY

Inventor： Muhammad Majid BUTT ,  Stephen MWANJE ,  Fahad SYED MUHAMMAD

IPC: G06N20/00

CPC classification number: G06N20/00 ,  H04L41/16

Abstract: First user equipments are detected out of a plurality of user equipments of a cellular communication system (S201). The user equipments respectively correspond to a distributed node of a federated machine-learning concept and respectively generate a partial machine-learning model, wherein partial machine-learning models generated by the plurality of user equipments are to be used to update a global machine-learning model at the network side of the cellular communication system. The first user equipments are user equipments comprising ready partial machine-learning models. Out of the first user equipments, second user equipments are selected at least based on a time information associated with the first user equipments (S203), the ready partial machine-learning models respectively generated by the second user equipments are acquired (S205), the global machine-learning model is updated using the ready partial machine-learning models acquired (S207), and convergence of the global machine-learning model updated by the ready partial machine-learning models acquired is determined (S209). In case convergence of the S207 global machine-learning model is not determined, a process comprising the detecting (S201), selecting (S203), acquiring (S205), updating (S207) and determining (S209) is repeated.

公开(公告)号：US20230214648A1

公开(公告)日：2023-07-06

申请号：US17928712

申请日：2021-05-26

Applicant: NOKIA TECHNOLOGIES OY

Inventor： Qi LIAO ,  Fahad SYED MUHAMMAD ,  Veronique CAPDEVIELLE ,  Afef FEKI ,  Suresh KALYANASUNDARAM ,  Ilaria MALANCHINI

IPC: G06N3/08 ,  H04B7/06 ,  G06N3/045

CPC classification number: G06N3/08 ,  H04B7/0617 ,  G06N3/045

Abstract: A deep transfer reinforcement learning (DTRL) method based on transfer learning within a deep reinforcement learning (DRL) framework is provided to accelerate the GoB optimization decisions when experiencing environment changes in the same source radio network agent or when being applied from a source radio network agent to a target radio network agent. The transferability of the knowledge embedded in a pre-trained neural network model as a Q-approximator is exploited, and a mechanism to transfer parameters from a source agent to a target agent is provided, where the transferability criterion is based on the similarity measure between the source and target domain.