公开(公告)号：US20220393733A1

公开(公告)日：2022-12-08

申请号：US17773659

申请日：2019-11-02

申请人： Telefonaktiebolaget LM Ericsson (publ)

发明人： Senthamiz Selvi ARUMUGAM ,  Ramamurthy BADRINATH ,  Ankit JAUHARI ,  Anusha Pradeep MUJUMDAR ,  Vijaya YAJNANARAYANA

IPC分类号： H04B7/06 ,  H04B7/08 ,  H04B7/022 ,  H04W16/28

摘要： Methods provide wireless communication using a plurality of Antenna Processing Units APUs distributed along a radio stripe and sharing a bus along the radio stripe. Access is provided to a plurality of APU activation/deactivation states for a respective plurality of environmental conditions, wherein each one of the plurality of APU activation/deactivation states defines APUs of the plurality of APUs that are activated and APUs of the plurality of APUs that are deactivated for the respective one of the plurality of environmental conditions. Responsive to detecting a first one of the plurality of environmental conditions, a first one of the plurality of APU activation/deactivation states corresponding to the first one of the plurality of environmental conditions is applied to activate a first subset of the APUs and to deactivate a second subset of the APUs, wherein the first and second subsets of APUs are mutually exclusive.

公开(公告)号：US20220303843A1

公开(公告)日：2022-09-22

申请号：US17426034

申请日：2020-01-31

申请人： Telefonaktiebolaget LM Ericsson (publ)

发明人： Vijaya Parampalli YAJNANARAYANA ,  Henrik RYDÉN ,  László HÉVIZI ,  Ankit JAUHARI ,  Mirsad CIRKIC

IPC分类号： H04W36/00 ,  H04W36/32 ,  H04W36/24 ,  H04W36/08

摘要： The present disclosure provides relates to methods and apparatus for handover optimization in a 5G context using reinforcement learning (RL). In contrast to the conventional handover methods, handovers between base-stations (BSs) are controlled using a centralized RL-based machine learning (ML) agent. This ML agent handles the radio measurement reports from the UEs and chooses appropriate handover actions in accordance with the RL machine learning framework to maximize a long-term utility.

公开(公告)号：US20220351039A1

公开(公告)日：2022-11-03

申请号：US17766025

申请日：2019-10-04

申请人： Telefonaktiebolaget LM Ericsson (publ)

发明人： Perepu SATHEESH KUMAR ,  Saravanan M. ,  Swarup Kumar MOHALIK ,  Ankit JAUHARI ,  Anshu SHUKLA

IPC分类号： G06N3/08

摘要： A method on a central node or server is provided. The method includes: receiving a first model from a first user device and a second model from a second user device, wherein the first model is of a neural network model type and has a first set of layers and the second model is of the neural network model type and has a second set of layers different from the first set of layers; for each layer of the first set of layers, selecting a first subset of filters from the layer of the first set of layers, for each layer of the second set of layers, selecting a second subset of filters from the layer of the second set of layers; constructing a global model by forming a global set of layers based on the first set of layers and the second set of layers, such that for each layer in the global set of layers, the layer comprises filters based on the corresponding first subset of filters and/or the corresponding second subset of filters; and forming a fully connected layer for the global model, wherein the fully connected layer is a final layer of the global set of layers.