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公开(公告)号:US20230068504A1
公开(公告)日:2023-03-02
申请号:US17465580
申请日:2021-09-02
Applicant: QUALCOMM Incorporated
Inventor: Rajeev KUMAR , Bharat SHRESTHA , Alberto RICO ALVARINO , Umesh PHUYAL , Xipeng ZHU , Shankar KRISHNAN
Abstract: Certain aspects of the present disclosure provide techniques for data collection for non-terrestrial networks (NTN). One aspect provides a method for wireless communications by a user equipment (UE). The method generally includes transmitting an indication of a capability of the UE to connect to a network via both terrestrial network (TN) cells and non-terrestrial network (NTN) cells and transmitting one or more data collection reports in accordance with the indicated capability.
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公开(公告)号:US20230061624A1
公开(公告)日:2023-03-02
申请号:US17477183
申请日:2021-09-16
Applicant: QUALCOMM Incorporated
Inventor: Rajeev KUMAR , Bharat SHRESTHA , Alberto RICO ALVARINO , Umesh PHUYAL , Xipeng ZHU , Shankar KRISHNAN
Abstract: Certain aspects of the present disclosure provide techniques for data collection for non-terrestrial networks (NTN). One aspect provides a method for wireless communications by a user equipment (UE). The method generally includes transmitting an indication of a capability of the UE to connect to a network via both terrestrial network (TN) cells and non-terrestrial network (NTN) cells and transmitting one or more data collection reports in accordance with the indicated capability.
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公开(公告)号:US20220377844A1
公开(公告)日:2022-11-24
申请号:US17323242
申请日:2021-05-18
Applicant: QUALCOMM Incorporated
Inventor: Rajeev KUMAR , Eren BALEVI , Taesang YOO , Xipeng ZHU , Gavin Bernard HORN , Shankar KRISHNAN , Aziz GHOLMIEH
Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for an ML model training procedure. A network entity may receive a trigger to activate an ML model training procedure based on at least one of an indication from an ML model repository or a protocol of the network entity. The network entity may transmit an ML model training request to activate the ML model training at one or more nodes. The one or more nodes may be associated with a RAN that may transmit, based on receiving the ML model training request, ML model training results indicative of a trained ML model. In aspects, an apparatus, such as a UE, may train the ML model based on an ML model training configuration received from the RAN, and transmit an ML model training report indicative of the trained ML model.
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公开(公告)号:US20220030453A1
公开(公告)日:2022-01-27
申请号:US16947223
申请日:2020-07-23
Applicant: QUALCOMM Incorporated
Inventor: Rajeev KUMAR , Xipeng ZHU , Ozcan OZTURK , Shankar KRISHNAN , Linhai HE , Gavin Bernard HORN
Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine a mobility prediction for the UE. The UE may determine one or more radio resource management (RRM) measurement parameters based at least in part on the mobility prediction. The UE may perform one or more RRM measurements based at least in part on the one or more RRM measurement parameters. Numerous other aspects are provided.
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公开(公告)号:US20200213910A1
公开(公告)日:2020-07-02
申请号:US16235371
申请日:2018-12-28
Applicant: Qualcomm Incorporated
Inventor: Dustin Andrew BROWN , Rajeev KUMAR
Abstract: This disclosure provides systems, devices, apparatus and methods, including computer programs encoded on storage media, for wireless communication. In one aspect, an apparatus for wireless communication may include a processing system configured to generate a first frame including an indication of an internet connection quality between the apparatus and a network, and a first interface configured to output the first frame for transmission to one or more wireless nodes that are unassociated with the apparatus.
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公开(公告)号:US20190245614A1
公开(公告)日:2019-08-08
申请号:US16331945
申请日:2017-09-01
Applicant: QUALCOMM Incorporated
Inventor: Kundan Kumar LUCKY , Gene Marsh , Fatih ULUPINAR , Dan VASSILOVSKI , Rohit KAPOOR , Rajeev KUMAR , Faris RASSAM
CPC classification number: H04B7/18541 , H04B7/185 , H04B7/204 , H04B7/2041 , H04W36/0061 , H04W48/16
Abstract: The disclosure relates in some aspects to enabling a user terminal (UT) to obtain information about nearby cells and any beams generated by nearby cells. For example, a network can send a neighbor cell list to UTs, where the list identifies the cells in that neighborhood and provides information about any beams generated by those cells. Thus, a UT can learn the neighboring beams/cells that the UT can reselect to if the current beam/cell becomes weak. In some aspects, the UE can learn the attitude (e.g., pitch, roll, yaw, or any combination thereof) profile of neighboring satellites as well as the pointing angles and the ON-OFF schedules of their beams. In some aspects, the UT can learn a start angle and a span for a satellite and use this information to identify a satellite the UT can reselect to if the current beam/cell becomes weak.
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