Patents by Inventor Jay Kumar
Jay Kumar 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).
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Publication number: 20250261022Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a configuration associated with artificial intelligence or machine learning (AI/ML) model based channel state feedback (CSF) reporting. The UE may transmit, based at least in part on the configuration, a channel state information (CSI) report that indicates joint CSI feedback, wherein the joint CSI feedback includes a first CSI associated with a known mapping and a second CSI associated with a UE-side AI/ML model. Numerous other aspects are described.Type: ApplicationFiled: February 6, 2025Publication date: August 14, 2025Inventors: Abdelrahman Mohamed IBRAHIM, Jay Kumar SUNDARARAJAN, Taesang YOO
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Patent number: 12382313Abstract: Certain aspects of the present disclosure provide techniques for remote interference mitigation between base stations using reference signals. Certain aspects provide a method for wireless communication by a first base station (BS). The method includes receiving a reference signal (RS) from a second BS. The method further includes performing interference measurement corresponding to interference from the second BS based on the RS being associated with the second BS.Type: GrantFiled: March 11, 2024Date of Patent: August 5, 2025Assignee: QUALCOMM IncorporatedInventors: Hung Dinh Ly, Huilin Xu, Joseph Binamira Soriaga, Tingfang Ji, Peter Gaal, Jay Kumar Sundararajan, Yeliz Tokgoz, Naga Bhushan, Yuwei Ren
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Patent number: 12363576Abstract: Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) may receive, from a base station, a control message including an indication associated with a configuration for an interference measurement (IM) report in a channel state information (CSI) report. The UE may determine a setting of the configuration for the IM report based on the indication, which may include one or both of a resource setting associated with IM information in a frequency domain or a spatial setting associated with IM information in a spatial domain. The UE may generate the IM report based on one or both of the resource setting or the spatial setting and may transmit the CSI report including the IM report to the base station.Type: GrantFiled: May 13, 2020Date of Patent: July 15, 2025Assignee: QUALCOMM IncorporatedInventors: Ruifeng Ma, Bo Chen, Yu Zhang, Jay Kumar Sundararajan, Yeliz Tokgoz
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Patent number: 12349100Abstract: Aspects presented herein may enhance the accuracy and/or latency of UE positioning based on crowd-sourcing, where a network entity may compute a position estimate of a UE based on neighbor-cell scan data from the UE and one or more reference UEs. In one aspect, a network entity receives a first set of measurements associated with at least one cell from a UE. The network entity performs a position estimation of the UE based on at least one of the first set of measurements associated with the at least one cell, a second set of measurements for each of a set of reference UEs, or a location of each of the set of reference UEs via an ML model, where the UE and the set of reference UEs include at least one common cell.Type: GrantFiled: September 14, 2022Date of Patent: July 1, 2025Assignee: QUALCOMM IncorporatedInventors: Sooryanarayanan Gopalakrishnan, Jay Kumar Sundararajan, Taesang Yoo, Naga Bhushan, Guttorm Ringstad Opshaug, Grant Marshall, Chandrakant Mehta, Zongjun Qi
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Patent number: 12335929Abstract: Certain aspects of the present disclosure provide techniques for scheduling and bandwidth part (BWP) adaptation for extended reality (XR). A method that may be performed by a user equipment (UE) includes obtaining an indication to change at least one of a minimum control-channel-to-data-channel delay or a bandwidth for receiving a first transmission on a BWP; changing the at least one of the minimum control-channel-to-data-channel delay to a new minimum control-channel-to-data-channel delay or the bandwidth on the BWP to a new bandwidth; and receiving the first transmission on the BWP using the at least one of the new minimum control-channel-to-data-channel delay or the new bandwidth of the BWP.Type: GrantFiled: March 28, 2024Date of Patent: June 17, 2025Assignee: QUALCOMM IncorporatedInventors: Hwan Joon Kwon, Huilin Xu, Yuchul Kim, Peter Pui Lok Ang, Yeliz Tokgoz, Jay Kumar Sundararajan, Krishna Kiran Mukkavilli, Tingfang Ji, Jing Lei, Ravi Agarwal, Seyong Park, Seyedkianoush Hosseini
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Publication number: 20250192914Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit a first training dataset associated with a network-based auto-encoder, wherein the first training dataset comprises one or more channel metrics obtained by the UE, precoding metrics, or both. The UE may receive, in response to transmitting the first training dataset, a second training dataset associated with the network-based auto-encoder, wherein the second training dataset is for training a UE-based encoder that corresponds to the network-based auto-encoder.Type: ApplicationFiled: December 8, 2023Publication date: June 12, 2025Inventors: Abdelrahman Mohamed Ahmed Mohamed IBRAHIM, Jay Kumar SUNDARARAJAN, Taesang YOO
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Patent number: 12328171Abstract: Disclosed are techniques for wireless positioning. In an aspect, a base station determines a channel profile for a multipath channel between the base station and a user equipment (UE) based on at least one positioning reference signal transmitted to the UE or received from the UE by the base station on one or more radio beams, compresses the channel profile into a compressed representation of the channel profile, and transmits the compressed representation of the channel profile to a network entity. The network entity receives the compressed representation of the time-angle channel profile and determines a location of the UE based on the compressed representation of the channel profile.Type: GrantFiled: October 7, 2021Date of Patent: June 10, 2025Assignee: QUALCOMM IncorporatedInventors: Sooryanarayanan Gopalakrishnan, Jay Kumar Sundararajan, Alexandros Manolakos, Naga Bhushan, Taesang Yoo, Krishna Kiran Mukkavilli, Weimin Duan, Tingfang Ji
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Publication number: 20250184717Abstract: In a wireless communication system, a user equipment (UE) vendor and a network entity vendor may configure one or more UEs and network entities to perform data collection, and to train for channel status information (CSI) feedback (CSF) models.Type: ApplicationFiled: April 29, 2022Publication date: June 5, 2025Inventors: June NAMGOONG, Taesang YOO, Yu ZHANG, Chenxi HAO, Runxin WANG, Jay Kumar SUNDARARAJAN, Krishna Kiran MUKKAVILLI, Naga BHUSHAN, Pavan Kumar VITTHALADEVUNI, Tingfang JI, Xipeng ZHU, Joseph Binamira SORIAGA
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Publication number: 20250175295Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a configuration for a reference signal used for data collection and/or a first message that indicates that data collection based on the reference signal is allowed. The UE may receive the reference signal. The UE may collect data based at least in part on the reference signal. The UE may transmit the data that is collected. Numerous other aspects are described.Type: ApplicationFiled: April 29, 2022Publication date: May 29, 2025Inventors: Chenxi HAO, Runxin WANG, Yu ZHANG, Taesang YOO, June NAMGOONG, Pavan Kumar VITTHALADEVUNI, Jay Kumar SUNDARARAJAN, Naga BHUSHAN, Krishna Kiran MUKKAVILLI, Tingfang JI, Xipeng ZHU
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Publication number: 20250175824Abstract: In a wireless communication system, a user equipment (UE) vendor and a network entity vendor may configure one or more UEs and network entities to perform data collection, and to train for channel status information (CSI) feedback (CSF) models.Type: ApplicationFiled: April 29, 2022Publication date: May 29, 2025Inventors: Chenxi HAO, Xipeng ZHU, Runxin WANG, Taesang YOO, June NAMGOONG, Jay Kumar SUNDARARAJAN, Yu ZHANG, Pavan Kumar VITTHALADEVUNI, Juan ZHANG, Krishna Kiran MUKKAVILLI, Tingfang JI, Naga BHUSHAN
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Publication number: 20250173612Abstract: Certain aspects of the present disclosure provide method of wireless communications by a user equipment (UE), generally including obtaining, from a network entity, a performance report for a machine learning (ML) model running on at least one of the UE or a network entity and participating in a change to the ML model based on the performance report.Type: ApplicationFiled: April 29, 2022Publication date: May 29, 2025Inventors: Chenxi HAO, Taesang YOO, Jay Kumar SUNDARARAJAN, Xipeng ZHU, Rajeev KUMAR, Shankar KRISHNAN
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Patent number: 12317266Abstract: Methods, systems, and devices for wireless communication are described for user equipment (UE) indication of uplink scheduling information to a base station. The uplink scheduling information may provide information on a periodic traffic pattern, such as for periodic extended reality (XR) data flows. The uplink scheduling information may provide uplink assistance information (UAI) to a base station to assist the base station with providing uplink resources that efficiently serve an XR session. The UAI may indicate one or more of a periodicity of uplink traffic, an offset between uplink traffic and a packet arrival, a data size for uplink traffic for each time period associated with the XR session, a request to enable uplink transmission skipping, or any combinations thereof. A base station may provide one or more dynamic grants, configured grants, or proactive grants to a UE based on the uplink scheduling information.Type: GrantFiled: January 13, 2022Date of Patent: May 27, 2025Assignee: QUALCOMM IncorporatedInventors: Yuchul Kim, Hwan Joon Kwon, Jay Kumar Sundararajan, Seyedkianoush Hosseini, Yongjun Kwak, Jing Lei, Prashanth Haridas Hande, Yeliz Tokgoz, Huilin Xu, Krishna Kiran Mukkavilli
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Patent number: 12317311Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may communicate, based at least in part on a physical data channel configuration corresponding to a physical data channel, a first extended reality (XR) data communication corresponding to a first physical data channel occasion associated with the physical data channel configuration, wherein a first priority level is associated with the first XR data communication. The network node may communicate a second XR data communication corresponding to a second physical data channel occasion, wherein a second priority level is associated with the second XR data communication, and wherein the second priority level is higher than the first priority level based at least in part on a packet delay budget associated with the physical data channel configuration being within a specified threshold of packet delay. Numerous other aspects are described.Type: GrantFiled: June 30, 2022Date of Patent: May 27, 2025Assignee: QUALCOMM IncorporatedInventors: Huilin Xu, Seyedkianoush Hosseini, Wanshi Chen, Juan Montojo, Yuchul Kim, Peter Gaal, Liangping Ma, Linhai He, Yeliz Tokgoz, Jay Kumar Sundararajan, Nicolas Cornillet
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Publication number: 20250168598Abstract: Disclosed are techniques for wireless communication. In an aspect, a first network node receives one or more request location information messages from a network entity, wherein the one or more request location information messages configure the first network node to use machine learning to derive one or more features of a wireless channel between the first network node and a second network node, and transmits one or more provide location information messages to the network entity, wherein the one or more provide location information messages include the one or more features of the wireless channel, and wherein the one or more features of the wireless channel are derived based on a machine learning model.Type: ApplicationFiled: April 26, 2023Publication date: May 22, 2025Inventors: Jay Kumar SUNDARARAJAN, Alexandros MANOLAKOS, Sooryanarayanan GOPALAKRISHNAN, Srinivas YERRAMALLI, Taesang YOO, Naga BHUSHAN, Krishna Kiran MUKKAVILLI
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Publication number: 20250150896Abstract: Some examples of the techniques described herein may provide encoding or decoding approaches to generate vectors that meet an orthogonality condition in vector compression procedures (e.g., vector compression or decompression). Encoder layers (e.g., neural network layers) on the encode side may generate orthogonal compressed vectors or decoder layers (e.g., neural network layers) on the decode side may generate orthogonal decompressed vectors. For instance, a neural network layer may be trained to generate a compressed or decompressed vector that satisfies an orthogonality condition relative to one or more previously compressed or decompressed vectors in accordance with a dependency order or a compression sequence. An indication of the dependency order may be communicated between the encode side and the decode side to order encoder or decoder layers (e.g., to execute encoder or decoder layers in the compression sequence) to produce compressed or decompressed vectors that satisfy an orthogonality condition.Type: ApplicationFiled: October 17, 2024Publication date: May 8, 2025Inventors: Pavan Kumar VITTHALADEVUNI, Naga BHUSHAN, Jay Kumar SUNDARARAJAN
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Publication number: 20250150855Abstract: Methods, systems, and devices for wireless communications are described. A first wireless device may be configured to communicate signaling with a second wireless device, an additional wireless device, or both, and perform, based on the signaling, one or more inferences using a machine learning model. The first wireless device may transmit, to the second wireless device, an indication that the machine learning model was applicable for performing the one or more inferences, and receive, from the second wireless device, control signaling indicating that the machine learning model is applicable for communications that are associated with a first set of conditions associated with the communication of the signaling, where the control signaling indicates a model identifier (ID) associated with the machine learning model, that the first set of conditions is associated with the machine learning model, or both.Type: ApplicationFiled: October 29, 2024Publication date: May 8, 2025Inventors: Jay Kumar SUNDARARAJAN, Taesang YOO
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Patent number: 12294406Abstract: A communications transceiver system that employs self-interference mitigation techniques can detect static objects by using techniques that introduce angular or Doppler diversity. This can include moving Tx and Rx antennas and/or performing beam sweeping. When processing RF sensing data from reflected RF signals, self-interference mitigation techniques can be used and compensation can be made for the movement and/or beam sweeping to allow for both self-interference mitigation and detection of static objects.Type: GrantFiled: August 25, 2021Date of Patent: May 6, 2025Assignee: QUALCOMM IncorporatedInventors: Seyong Park, Alexandros Manolakos, Weimin Duan, Gokul Sridharan, Jay Kumar Sundararajan, Muhammad Sayed Khairy Abdelghaffar, Naga Bhushan, Wanshi Chen, Taesang Yoo, Hwan Joon Kwon, Krishna Kiran Mukkavilli, Tingfang Ji
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Patent number: 12282790Abstract: Aspects of the disclosure relate to a cloud-based parallel processing and cognitive learning computing platform. A computing platform may receive query data comprising a plurality of requested metrics. The computing platform may select a secondary node to process the query request from a plurality of secondary nodes of the computing platform. The computing platform may send the query request to the secondary node. The computing platform may send a request to generate a metric mapping table for a first requested metric to a cognitive learning module of the computing platform. The cognitive learning module may generate the metric mapping table for the first requested metric using neuron clusters that comprise a plurality of unique programmable quadratic function neurons. The computing platform may calculate a value for the first requested metric based on the metric mapping table.Type: GrantFiled: November 17, 2021Date of Patent: April 22, 2025Assignee: Bank of America CorporationInventors: Jai Kumar Sethi, Ruchi Mathur, Susheel Chiluka, Prashant Khare
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Publication number: 20250126595Abstract: Techniques are provided herein for signaling path selection modes for positioning. An example method of signaling a path selection mode includes obtaining one or more signal measurement values for a reference signal, determining one or more propagation paths based on the one or more signal measurement values and the path selection mode, and report the one or more propagation paths and the path selection mode to a location server.Type: ApplicationFiled: February 21, 2023Publication date: April 17, 2025Inventors: Sooryanarayanan GOPALAKRISHNAN, Jay Kumar SUNDARARAJAN, Taesang YOO, Alexandros MANOLAKOS, Krishna Kiran MUKKAVILLI, Naga BHUSHAN
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Publication number: 20250119224Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may communicate signaling with a network entity, the signaling indicating a first bandwidth size and a second bandwidth size associated with a projection parameter (W1) and a compression parameter (W2), respectively. The second bandwidth size may be less than the first bandwidth size. In some cases, the UE may determine W1 and W2 based on a first machine learning (ML) model and a second ML model, respectively. The UE may project a portion of received channel state information (CSI) associated with the first bandwidth size onto a sub-space defined by W1 and may compress a portion of the projection associated with the second bandwidth size based on W2. The UE may transmit channel state feedback including the projection, the compression of the projection, a compression of W1, a compression of W2, or any combination thereof.Type: ApplicationFiled: October 10, 2023Publication date: April 10, 2025Inventors: Pavan Kumar VITTHALADEVUNI, Jay Kumar SUNDARARAJAN, Taesang YOO, Naga BHUSHAN, Krishna Kiran MUKKAVILLI