Patents by Inventor Reza Moosavi

Reza Moosavi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12262219
    Abstract: Methods and apparatus in a communications network as described herein are suitable for determining a first model for use in predicting conditions on carrier frequencies in the communications network. In a method, network measurements are obtained (302) of conditions on a plurality of carrier frequencies. A first model is then determined (304) based on the obtained measurements that takes as input the conditions on a first subset of the plurality of carrier frequencies and outputs a prediction of the conditions on a second subset of the plurality of carrier frequencies, based on the conditions of the first subset of carrier frequencies.
    Type: Grant
    Filed: September 19, 2019
    Date of Patent: March 25, 2025
    Assignee: Telefonaktiebolaget LM Ericsson (Publ)
    Inventors: Reza Moosavi, Henrik Rydén, Joel Berglund, Pradeepa Ramachandra, Roman Zhohov, Sakib Bin Redhwan
  • Publication number: 20250071575
    Abstract: A method for iterative learning is performed by a server entity communicating with the agent entities over a radio propagation channel. An estimate of a level of interference of the radio propagation channel is obtained. An estimate of an acceptable level of interference for performing at least one iteration of the iterative learning process with the agent entities is obtained. An interference mitigating network operation is selected from a set of available interference mitigating network operations. The interference mitigating network operation is selected as a function of the estimate of the acceptable level of interference and the estimate of the level of interference. In accordance with the interference mitigating network operation, at least one of the server entity, the agent entities, a network node causing the level of interference level, is configured. At least one iteration of the iterative learning process is performed with the agent entities.
    Type: Application
    Filed: February 9, 2022
    Publication date: February 27, 2025
    Inventors: Henrik RYDÉN, Reza MOOSAVI, Erik G. LARSSON
  • Patent number: 12231284
    Abstract: Methods and apparatus in a fifth-generation wireless communications network, including an example method, in a wireless device, that includes determining a reporting quality threshold for a parameter related to channel state information (CSI); performing a measurement for each of a plurality of beams from a first predetermined set of beams for evaluation; evaluating the measurement for each of the plurality of beams against the reporting quality threshold; discontinuing the performing and evaluating of measurements in response to determining that the reporting quality threshold is met for one of the beams, such that one or more beams in the first predetermined set of beams are not measured and evaluated; and reporting, to the wireless communications network, CSI for the one of the beams.
    Type: Grant
    Filed: June 8, 2022
    Date of Patent: February 18, 2025
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Stefan Parkvall, Janne Peisa, Gunnar Mildh, Robert Baldemair, Stefan Wager, Jonas Kronander, Karl Werner, Richard Abrahamsson, Ismet Aktas, Peter Alriksson, Junaid Ansari, Shehzad Ali Ashraf, Henrik Asplund, Fredrik Athley, Håkan Axelsson, Joakim Axmon, Johan Axnäs, Kumar Balachandran, Gunnar Bark, Jan-Erik Berg, Andreas Bergström, Håkan Björkegren, Nadia Brahmi, Cagatay Capar, Anders Carlsson, Andreas Cedergren, Mikael Coldrey, Icaro L. J. da Silva, Erik Dahlman, Ali El Essaili, Ulrika Engström, Mårten Ericson, Erik Eriksson, Mikael Fallgren, Rui Fan, Gabor Fodor, Pål Frenger, Jonas Fridén, Jonas Fröberg Olsson, Anders Furuskär, Johan Furuskog, Virgile Garcia, Ather Gattami, Fredrik Gunnarsson, Ulf Gustavsson, Bo Hagerman, Fredrik Harrysson, Ning He, Martin Hessler, Kimmo Hiltunen, Songnam Hong, Dennis Hui, Jörg Huschke, Tim Irnich, Sven Jacobsson, Niklas Jaldén, Simon Järmyr, Zhiyuan Jiang, Martin Johansson, Niklas Johansson, Du Ho Kang, Eleftherios Karipidis, Patrik Karlsson, Ali S. Khayrallah, Caner Kilinc, Göran N. Klang, Sara Landström, Christina Larsson, Gen Li, Bo Lincoln, Lars Lindbom, Robert Lindgren, Bengt Lindoff, Fredrik Lindqvist, Jinhua Liu, Thorsten Lohmar, Qianxi Lu, Lars Manholm, Ivana Maric, Jonas Medbo, Qingyu Miao, Reza Moosavi, Walter Müller, Elena Myhre, Johan Nilsson, Karl Norrman, Bengt-Erik Olsson, Torgny Palenius, Sven Petersson, Jose Luis Pradas, Mikael Prytz, Olav Queseth, Pradeepa Ramachandra, Edgar Ramos, Andres Reial, Thomas Rimhagen, Emil Ringh, Patrik Rugeland, Johan Rune, Joachim Sachs, Henrik Sahlin, Vidit Saxena, Nima Seifi, Yngve Selén, Eliane Semaan, Sachin Sharma, Cong Shi, Johan Sköld, Magnus Stattin, Anders Stjernman, Dennis Sundman, Lars Sundström, Miurel Isabel Tercero Vargas, Claes Tidestav, Sibel Tombaz, Johan Torsner, Hugo Tullberg, Jari Vikberg, Peter von Wrycza, Thomas Walldeen, Anders Wallen, Pontus Wallentin, Hai Wang, Ke Wang Helmersson, Jianfeng Wang, Yi-Pin Eric Wang, Niclas Wiberg, Emma Wittenmark, Osman Nuri Can Yilmaz, Ali Zaidi, Zhan Zhang, Zhang Zhang, Yanli Zheng
  • Publication number: 20250048136
    Abstract: A method (100) is disclosed for managing a wireless device that is operable to connect to a communication network, wherein the communication network comprises a Radio Access Network (RAN), and wherein the wireless device has available for execution a Machine Learning (ML) model that is operable to provide an output, on the basis of which a RAN operation performed by the wireless device may be configured. The method, performed by a RAN node of the communication network, comprises, on fulfilment of a trigger condition, causing an ML model Assurance Information, MAI, Request to be sent to the wireless device (110), the MAI Request comprising an indication of the ML model to which the MAI Request relates.
    Type: Application
    Filed: December 13, 2021
    Publication date: February 6, 2025
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Reza MOOSAVI, Henrik RYDÉN, Erik G. LARSSON, Martin ISAKSSON, Mårten SUNDBERG, Roy TIMO
  • Patent number: 12216639
    Abstract: A computer-implemented method for acquiring new data samples and for maintaining a set of data samples in a database, wherein the set of data samples are configured to form input to a function associated with a predictive performance, the method including obtaining at least one relevance metric (M), where the relevance metric is indicative of an increase in the predictive performance of the function when using a data sample as input together with the set of data samples compared to when not using the data sample, obtaining a relevance criterion (C), where the relevance criterion identifies relevant data samples in a set of data samples based on the at least one relevance metric, signaling the at least one relevance metric (M) and the relevance criterion (C) to a data collecting network node.
    Type: Grant
    Filed: December 4, 2020
    Date of Patent: February 4, 2025
    Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
    Inventors: Henrik Rydén, Joel Berglund, Alexandros Palaios, Reza Moosavi, Abdulrahman Alabbasi, Ricardo da Silva Souza
  • Publication number: 20250031066
    Abstract: There is provided mechanisms for performing an iterative learning process with agent entities. A method is performed by a server entity. The server entity communicating with the agent entities over a radio propagation channel. The method comprises selecting precoding vectors, one individual precoding vector for each of the agent entities. The precoding vectors are to be used by the agent entities when reporting computational results of a computational task to the server entity. The precoding vectors are selected as a function of uplink channel estimates of the radio propagation channel between antennas of all the agent entities to antennas of the server entity. The method comprises configuring the agent entities with the computational task and the precoding vectors. The method comprises performing the iterative learning process with the agent entities until a termination criterion is met.
    Type: Application
    Filed: November 26, 2021
    Publication date: January 23, 2025
    Inventors: Reza Moosavi, Henrik Rydén, Erik G. Larsson
  • Publication number: 20250016065
    Abstract: There is provided mechanisms for performing an iterative learning process with agent entities. A method is performed by a server entity. The method includes selecting a linear mapping to be used by the agent entities when reporting computational results of a computational task to the server entity. The linear mapping has an inverse. The linear mapping is selected as a function of an estimated interference level for a radio propagation channel over which the agent entities are to report the computational results of the computational task to the server entity. The method includes configuring the agent entities with the computational task. The method includes performing the iterative learning process with the agent entities until a termination criterion is met. The server entity as part of performing the iterative learning process applies the inverse of the linear mapping to a sum of the computational results.
    Type: Application
    Filed: November 16, 2021
    Publication date: January 9, 2025
    Inventors: Reza MOOSAVI, Henrik RYDÉN, Erik G. LARSSON
  • Publication number: 20240421931
    Abstract: Methods and apparatus in a fifth-generation wireless communications, including an example method, in a wireless device, that includes receiving a downlink signal comprising an uplink access configuration index, using the uplink access configuration index to identify an uplink access configuration from among a predetermined plurality of uplink access configurations, and transmitting to the wireless communications network according to the identified uplink access configuration. The example method further includes, in the same wireless device, receiving, in a first subframe, a first Orthogonal Frequency-Division Multiplexing (OFDM) transmission formatted according to a first numerology and receiving, in a second subframe, a second OFDM transmission formatted according to a second numerology, the second numerology differing from the first numerology. Variants of this method, corresponding apparatuses, and corresponding network-side methods and apparatuses are also disclosed.
    Type: Application
    Filed: January 2, 2024
    Publication date: December 19, 2024
    Inventors: Stefan Parkvall, Janne Peisa, Gunnar Mildh, Robert Baldemair, Stefan Wager, Jonas Kronander, Karl Werner, Richard Abrahamsson, Ismet Aktas, Peter Alriksson, Junaid Ansari, Shehzad Ali Ashraf, Henrik Asplund, Fredrik Athley, Håkan Axelsson, Joakim Axmon, Johan Axnäs, Kumar Balachandran, Gunnar Bark, Jan-Erik Berg, Andreas Bergström, Håkan Björkegren, Nadia Brahmi, Cagatay Capar, Anders Carlsson, Andreas Cedergren, Mikael Coldrey, Icaro L. J. da Silva, Erik Dahlman, Ali El Essaili, Ulrika Engström, Mårten Ericson, Erik Eriksson, Mikael Fallgren, Rui Fan, Gabor Fodor, Pål Frenger, Jonas Fridén, Jonas Fröberg Olsson, Anders Furuskär, Johan Furuskog, Virgile Garcia, Ather Gattami, Fredrik Gunnarsson, Ulf Gustavsson, Bo Hagerman, Fredrik Harrysson, Ning He, Martin Hessler, Kimmo Hiltunen, Songnam Hong, Dennis Hui, Jörg Huschke, Tim Irnich, Sven Jacobsson, Niklas Jaldén, Simon Järmyr, Zhiyuan Jiang, Martin Johansson, Niklas Johansson, Du Ho Kang, Eleftherios Karipidis, Patrik Karlsson, Ali S. Khayrallah, Caner Kilinc, Göran N. Klang, Sara Landström, Christina Larsson, Gen Li, Lars Lindbom, Robert Lindgren, Bengt Lindoff, Fredrik Lindqvist, Jinhua Liu, Thorsten Lohmar, Qianxi Lu, Lars Manholm, Ivana Maric, Jonas Medbo, Qingyu Miao, Reza Moosavi, Walter Müller, Elena Myhre, Karl Norrman, Bengt-Erik Olsson, Torgny Palenius, Sven Petersson, Jose Luis Pradas, Mikael Prytz, Olav Queseth, Pradeepa Ramachandra, Edgar Ramos, Andres Reial, Thomas Rimhagen, Emil Ringh, Patrik Rugeland, Johan Rune, Joachim Sachs, Henrik Sahlin, Vidit Saxena, Nima Seifi, Yngve Selén, Eliane Semaan, Sachin Sharma, Cong Shi, Johan Sköld, Magnus Stattin, Anders Stjernman, Dennis Sundman, Lars Sundström, Miurel Isabel Tercero Vargas, Claes Tidestav, Sibel Tombaz, Johan Torsner, Hugo Tullberg, Jari Vikberg, Peter von Wrycza, Thomas Walldeen, Pontus Wallentin, Hai Wang, Ke Wang Helmersson, Jianfeng Wang, Yi-Pin Eric Wang, Niclas Wiberg, Emma Wittenmark, Osman Nuri Can Yilmaz, Ali Zaidi, Zhan Zhang, Zhang Zhang, Yanli Zheng
  • Publication number: 20240406772
    Abstract: According to certain embodiments, a method in a wireless device for measurement reporting comprises: receiving an instruction to perform measurement reporting for a neighbor cell; determining, based at least on a radio access technology (RAT) of the neighbor cell and a frequency range of the neighbor cell, a measurement reporting timer value for performing the measurement reporting; and measuring a radio signal of the neighbor cell during the time specified by the determined measurement reporting timer value.
    Type: Application
    Filed: August 12, 2024
    Publication date: December 5, 2024
    Inventors: Reza MOOSAVI, Icaro L. J. DA SILVA, Fredrik GUNNARSSON, Pradeepa RAMACHANDRA
  • Publication number: 20240378470
    Abstract: There is provided mechanisms for performing an iterative learning process with agent entities. A method is performed by a server entity. The method comprises associating a secret key with a computational task. The secret key defines a transform to be used by the agent entities when reporting computational results of the computational task to the server entity. The transform has an inverse. The method comprises configuring the agent entities with the computational task. The method comprises performing the iterative learning process with the agent entities until a termination criterion is met. The server entity as part of performing the iterative learning process applies the inverse of the transform to the computational results received from the agent entities.
    Type: Application
    Filed: September 20, 2021
    Publication date: November 14, 2024
    Inventors: Henrik Rydén, Reza Moosavi, Erik G. Larsson
  • Publication number: 20240330700
    Abstract: There is provided mechanisms for configuring agent entities with a reporting schedule for reporting computational results during an iterative learning process. A method is performed by a server entity. The method comprises configuring the agent entities with a computational task and a reporting schedule. The reporting schedule defines pairs of the agent entities. According to the reporting schedule and per each iteration of the learning process, each of the agent entities in each pair is to report its own computational result of the computational task to both the server entity and the other of the agent entities in the same pair. When reporting its own computational result to the server entity, each of the agent entities is to superimpose the computational result of the other of the agent entities in the same pair. The method comprises performing the iterative learning process with the agent entities until a termination criterion is met.
    Type: Application
    Filed: July 6, 2021
    Publication date: October 3, 2024
    Inventors: Erik G. Larsson, Reza Moosavi, Henrik RYDÉN
  • Publication number: 20240303500
    Abstract: There is provided mechanisms for configuring agent entities with a reporting schedule for reporting computational results during an iterative learning process. A method is performed by a server entity. The method comprises configuring the agent entities with a computational task and a reporting schedule. The reporting schedule defines an order according to which the agent entities are to report computational results of the computational task. The agent entities are configured to, per each iteration of the learning process, base their computation of the computational task on any computational result of the computational task received from any other of the agent entities prior to when the agent entities themselves are scheduled to report their own computational results for that iteration. The method comprises performing the iterative learning process with the agent entities according to the reporting schedule and until a termination criterion is met.
    Type: Application
    Filed: July 6, 2021
    Publication date: September 12, 2024
    Inventors: Erik G. Larsson, Reza Moosavi, Henrik Rydén
  • Patent number: 12063530
    Abstract: According to certain embodiments, a method in a wireless device for measurement reporting comprises: receiving an instruction to perform measurement reporting for a neighbor cell: determining, based at least on a radio access technology (RAT) of the neighbor cell and a frequency range of the neighbor cell, a measurement reporting timer value for performing the measurement reporting; and measuring a radio signal of the neighbor cell during the time specified by the determined measurement reporting timer value.
    Type: Grant
    Filed: May 7, 2019
    Date of Patent: August 13, 2024
    Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
    Inventors: Reza Moosavi, Icaro L. J. Da Silva, Fredrik Gunnarsson, Pradeepa Ramachandra
  • Patent number: 12035180
    Abstract: A first network node transmits, to a wireless device, a first indication. The first indication indicates to select, out of a plurality of target links simultaneously fulfilling a respective condition to switch from a source link to a target link, a first target link to switch from the source link to the selected first target link. The selecting is based on at least one of: a Reference Signal Received Power (RSRP) value, a Reference Signal Received Quality (RSRQ) value, a Signal to Interference and noise ratio (SINR) value, a priority, Random Access Channel (RACH) resources, a cell in which latest measurements were made, or a frequency, of the respective target links in the plurality of target links. The first network node then handles the link switch from the source link to the target link, based on the transmitted first indication.
    Type: Grant
    Filed: August 15, 2019
    Date of Patent: July 9, 2024
    Assignee: Telefonaktiebolaget LM Ericsson (Publ)
    Inventors: Sakib Bin Redhwan, Nicklas Johansson, Pradeepa Ramachandra, Reza Moosavi, Sofia Ek
  • Patent number: 12021609
    Abstract: Methods and apparatus in a fifth-generation wireless communications, including an example method, in a wireless device, that includes receiving a downlink signal comprising an uplink access configuration index, using the uplink access configuration index to identify an uplink access configuration from among a predetermined plurality of uplink access configurations, and transmitting to the wireless communications network according to the identified uplink access configuration. The example method further includes, in the same wireless device, receiving, in a first subframe, a first Orthogonal Frequency-Division Multiplexing (OFDM) transmission formatted according to a first numerology and receiving, in a second subframe, a second OFDM transmission formatted according to a second numerology, the second numerology differing from the first numerology. Variants of this method, corresponding apparatuses, and corresponding network-side methods and apparatuses are also disclosed.
    Type: Grant
    Filed: January 5, 2023
    Date of Patent: June 25, 2024
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Stefan Parkvall, Janne Peisa, Gunnar Mildh, Robert Baldemair, Stefan Wager, Jonas Kronander, Karl Werner, Richard Abrahamsson, Ismet Aktas, Peter Alriksson, Junaid Ansari, Shehzad Ali Ashraf, Henrik Asplund, Fredrik Athley, Håkan Axelsson, Joakim Axmon, Johan Axnäs, Kumar Balachandran, Gunnar Bark, Jan-Erik Berg, Andreas Bergström, Håkan Björkegren, Nadia Brahmi, Cagatay Capar, Anders Carlsson, Andreas Cedergren, Mikael Coldrey, Icaro L. J. da Silva, Erik Dahlman, Ali El Essaili, Ulrika Engström, Mårten Ericson, Erik Eriksson, Mikael Fallgren, Rui Fan, Gabor Fodor, Pål Frenger, Jonas Fridén, Jonas Fröberg Olsson, Anders Furuskär, Johan Furuskog, Virgile Garcia, Ather Gattami, Fredrik Gunnarsson, Ulf Gustavsson, Bo Hagerman, Fredrik Harrysson, Ning He, Martin Hessler, Kimmo Hiltunen, Songnam Hong, Dennis Hui, Jörg Huschke, Tim Irnich, Sven Jacobsson, Niklas Jaldén, Simon Järmyr, Zhiyuan Jiang, Martin Johansson, Niklas Johansson, Du Ho Kang, Eleftherios Karipidis, Patrik Karlsson, Ali S. Khayrallah, Caner Kilinc, Göran N. Klang, Sara Landström, Christina Larsson, Gen Li, Lars Lindbom, Robert Lindgren, Bengt Lindoff, Fredrik Lindqvist, Jinhua Liu, Thorsten Lohmar, Qianxi Lu, Lars Manholm, Ivana Maric, Jonas Medbo, Qingyu Miao, Reza Moosavi, Walter Müller, Elena Myhre, Karl Norrman, Bengt-Erik Olsson, Torgny Palenius, Sven Petersson, Jose Luis Pradas, Mikael Prytz, Olav Queseth, Pradeepa Ramachandra, Edgar Ramos, Andres Reial, Thomas Rimhagen, Emil Ringh, Patrik Rugeland, Johan Rune, Joachim Sachs, Henrik Sahlin, Vidit Saxena, Nima Seifi, Yngve Selén, Eliane Semaan, Sachin Sharma, Cong Shi, Johan Sköld, Magnus Stattin, Anders Stjernman, Dennis Sundman, Lars Sundström, Miurel Isabel Tercero Vargas, Claes Tidestav, Sibel Tombaz, Johan Torsner, Hugo Tullberg, Jari Vikberg, Peter von Wrycza, Thomas Walldeen, Pontus Wallentin, Hai Wang, Ke Wang Helmersson, Jianfeng Wang, Yi-Pin Eric Wang, Niclas Wiberg, Emma Wittenmark, Osman Nuri Can Yilmaz, Ali Zaidi, Zhan Zhang, Zhang Zhang, Yanli Zheng
  • Publication number: 20240172283
    Abstract: A computer implemented method performed by a first node in a communications network for use in determining whether a channel between the first node and a target node is in use. The method includes selecting, from a plurality of other nodes that are suitable for making measurements on the channel, a subset of the other nodes from which to obtain channel information in order to determine whether the channel is in use. The selection is performed using a first model trained using a first machine learning process to select the subset of other nodes based on accuracy of the resulting determination of whether the channel is in use. The method then includes sending a message to cause the subset of other nodes to obtain the channel information.
    Type: Application
    Filed: April 8, 2021
    Publication date: May 23, 2024
    Inventors: Abdulrahman ALABBASI, Henrik RYDÉN, Hazhir SHOKRI RAZAGHI, Alexandros PALAIOS, Reza MOOSAVI
  • Patent number: 11968588
    Abstract: Embodiments include methods performed by a network node, in a radio access network, RAN, that is a target node candidate for a mobility operation of a user equipment, UE. Such methods include receiving, from a source node serving the UE, a request to prepare a mobility procedure for the UE in relation to a candidate target cell associated with the network node. The request can include characteristics associated with a data connection of the UE. Such methods include determining that the UE can be admitted for the requested mobility procedure based on the characteristics, and determining to activate bicasting of the data connection. Different bicasting modes can be selected. Such methods also include transmitting, to the source node, a response that includes a bicasting configuration associated with the UE. Other embodiments include complementary methods performed by source nodes, as well as network nodes configured to perform such methods.
    Type: Grant
    Filed: December 2, 2019
    Date of Patent: April 23, 2024
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Ali Parichehrehteroujeni, Pradeepa Ramachandra, Sakib Bin Redhwan, Reza Moosavi, Nicklas Johansson, Sofia Ek
  • Patent number: 11871218
    Abstract: Among other things, the method and apparatus examples herein provide a solution to the problems that arise regarding the need for a wireless device to achieve source synchronization in a beam-based system, where the wireless communication network does not define “cells” for connected-mode wireless devices. The problems relate to how a wireless device can re-synchronize with its source access node in a beam-based system that mainly relies on self-contained transmissions from transmission points in the network. As one example advantage, the contemplated methods and apparatus enable wireless devices to perform measurements to support mobility procedures even when no data transmissions are scheduled.
    Type: Grant
    Filed: December 15, 2022
    Date of Patent: January 9, 2024
    Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
    Inventors: Icaro Leonardo Da Silva, Reza Moosavi, Pradeepa Ramachandra, Henning Wiemann
  • Publication number: 20230394032
    Abstract: A computer-implemented method for acquiring new data samples and for maintaining a set of data samples in a database, wherein the set of data samples are configured to form input to a function associated with a predictive performance, the method including obtaining at least one relevance metric (M), where the relevance metric is indicative of an increase in the predictive performance of the function when using a data sample as input together with the set of data samples compared to when not using the data sample, obtaining a relevance criterion (C), where the relevance criterion identifies relevant data samples in a set of data samples based on the at least one relevance metric, signaling the at least one relevance metric (M) and the relevance criterion (C) to a data collecting network node.
    Type: Application
    Filed: December 4, 2020
    Publication date: December 7, 2023
    Inventors: Henrik RYDÉN, Joel BERGLUND, Alexandros PALAIOS, Reza MOOSAVI, Abdulrahman ALABBASI, Ricardo da Silva SOUZA
  • Publication number: 20230370908
    Abstract: The invention refers to a wireless device and to operating the wireless terminal, UE, connected to a serving network node associated to a serving cell of a radio access network, RAN, the method comprising: receiving system information from a neighbour cell of the serving cell, determining from the system information if the neighbour cell does or does not broadcast a global cell identifier, CGI, of the neighbour cell; and if the neighbour cell does not broadcast the CGI, transmitting a global cell identifier, CGI, report to the serving network node, wherein the CGI report includes an indication that the neighbour cell does not broadcast the CGI of the neighbour cell. The invention further refers to a corresponding network node and to a method performed in the network node.
    Type: Application
    Filed: July 24, 2023
    Publication date: November 16, 2023
    Inventors: Reza MOOSAVI, Icaro L.J. DA SILVA, Pradeepa RAMACHANDRA, Fredrik GUNNARSSON