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公开(公告)号:US12192784B2
公开(公告)日:2025-01-07
申请号:US17878521
申请日:2022-08-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Satya Kumar Vankayala , Swaraj Kumar , Seungil Yoon , Samuel Ignatius Kanakaraj
Abstract: Embodiments herein provide a method for generating a real-time radio coverage map in a wireless network by a network apparatus. The method includes: receiving real-time geospatial information from one or more geographical sources in the wireless network; determining handover information of at least one user equipment (UE) in the wireless network from a plurality of base stations based on the real-time geospatial information; and generating the real-time radio coverage map based on the handover information of at least one UE and the real-time geospatial information.
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公开(公告)号:US12289635B2
公开(公告)日:2025-04-29
申请号:US17730692
申请日:2022-04-27
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Satya Kumar Vankayala , Rajesh Challa , Pankaj Bhimrao Thorat , Seungil Yoon , Swaraj Kumar , Ashvin K Joseph
IPC: H04W28/02
Abstract: Embodiments herein provide a method for managing a network slice load in a wireless network. The method includes: sending, by a CN device, a request message for network slice load information to a base station of the wireless network; determining, by the base station, the network slice load based on the parameter; sending, by the base station, the response message comprising the network slice load information to the core network device for managing the network slice load; determining, by a CN device, the network slice load at the base station based on the response message; and managing, by a CN device, the network slice load at the base station.
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公开(公告)号:US11769079B2
公开(公告)日:2023-09-26
申请号:US17729628
申请日:2022-04-26
Applicant: Samsung Electronics Co., Ltd.
Inventor: Satya Kumar Vankayala , Sukhmeet Singh , Swaraj Kumar , Seungil Yoon , Issaac Kommineni
CPC classification number: G06N20/00 , H03M13/2963 , H04L1/0009 , H04W28/0268 , H03M13/2703 , H03M13/2987
Abstract: A method for decoding data by an electronic device is provided. The method includes receiving, by the electronic device, encoded data, determining, by the electronic device, a sparsity of a plurality of Machine Learning (ML) models of a turbo decoder of the electronic device for decoding the encoded data based on Quality-of-Service (QoS) parameters, and decoding, by the electronic device, the encoded data using the turbo decoder based on the determined sparsity.
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