Samsung Electronics Co., Ltd.

Mandar Narsinh Kulkarni

Boon Loong Ng

Jianzhong Zhang

Pengda Huang

Vutha Va

Yan Xin

Yuming Zhu

Sangkyu Park

Neha Dawar

Songwei Li

Vikram Chandrasekhar

Wonsuk Choi

Jianhua Mo

Hao Chen

Vishnu Vardhan Ratnam

Rubayet Shafin

Hakyung Jung

Won-Suk Choi

Russell Douglas Ford

Vitali Loseu

Pranav Madadi

Samuel Albert

Han Wang

Siddharth K Advani

Chiyu Zhang

A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.

Determining relevant gesture signals using multi-dimensional radar signals

A network management apparatus of a wireless network includes a network interface, a processor, and a memory. The memory contains instructions, which when executed by the processor, cause the apparatus to receive, via the network interface, first data comprising values of key performance indicators (KPIs) obtained from elements of the wireless network for a first time period, receive, via the network interface, second data comprising values of key quality indicators (KQIs) for the first time period, wherein the KQIs comprise metrics of end-user quality of service (QoS) of the wireless network, and perform supervised learning to train an artificial intelligence (AI) model based on the first and second data, wherein features of the AI model are based on KPIs available from elements of the wireless network, and outputs of the AI model comprise values of one or more KQIs.

System and method for artificial intelligence (AI) driven voice over long-term evolution (VoLTE) analytics

An electronic device includes a Lidar sensor, a radar sensor, and a processor. The processor is configured to identify one or more objects from Lidar scans. The processor is configured to transmit, via the radar sensor, radar signals for object detection based on reflections of the radar signals received by the radar sensor. While the electronic device travels the area, the processor is configured to generate a first map indicating one or more objects within an area based on the Lidar scans and a second map based on the radar signals. The processor is configured to determine whether the second map indicates a missed object at the portion of the first map that is unoccupied. In response to a determination that the second map indicates the missed object, the processor is configured to modify the first map with the missed object.

Apparatus and methods for multi-sensor SLAM systems

An electronic device includes a first set of sensors configured to generate motion information. The electronic device also includes a second set of sensors configured to receive information from multiple anchors. The electronic device further includes a processor configured to generate a path to drive the electronic device within an area. The processor is configured to receive the motion information. The processor is configured to generate ranging information based on the information that is received. While the electronic device is driven along the path, the processor is configured to identify a location and heading direction within the area of the electronic device based on the motion information. The processor is configured to modify the estimate of location and the heading direction of the electronic device based on the ranging information. The processor is configured to drive within the area according to the path, based on the location and heading direction.

Sensor fusion for localization and path planning

Apparatuses and methods for identifying network anomalies. A method includes determining a cumulative anomaly score over a predefined time range based on a subset of historical PM samples and determining an anomaly ratio of a first time window and a second time window, based on the cumulative anomaly score. The method also includes determining one or more anomaly events coinciding with CM parameter changes based on the anomaly ratio; collating the PM, alarm, and CM data into a combined data set based on matching fields and timestamps; generating a set of rules linking one or more CM parameter changes and the collated data to anomaly events; and generating root cause explanations for CM parameter changes that are linked to anomaly events.

Configuration management and analytics in cellular networks

A method for operating a base station is provided. The method includes in response to a triggering event, fetching information on a base station (BS) configuration parameters comprising a location, a height, an antenna pattern, and topographical details surrounding the BS; determining the BS configuration parameters that are error prone and require re-estimation; obtain measurement reports created by at least one user equipment (UE); determining an audit method to perform an audit correction, the audit correction based on the one or more of the BS configuration parameters to re-estimate, available BS information and the measurement reports; performing the audit correction, to obtain a result based on a computed score for each candidate value of the BS configuration parameters; generating, based on the result, one or more corrective actions; and adjusting at least one of the BS configuration parameters based on the one or more corrective actions.

Method and apparatus for base station audit correction in wireless communication networks

Determining relevant signals using multi-dimensional radar signals

The present disclosure includes a method and apparatus for sensor assisted beam selection. A method for sensor assisted beam selection includes receiving an input from a sensor indicating a presence of an obstacle proximate to the sensor. The method further includes identifying an antenna module proximate to the sensor. The method further includes deactivating at least a portion of the identified antenna module based on the input from the sensor.

Method and apparatus for sensor assisted beam selection, beam tracking, and antenna module selection

Methods and apparatus for relay aided beam management in a vehicle communication system are provided. The relay comprises an antenna system including an internal antenna located inside a vehicle and an external antenna located outside the vehicle. The relay further comprises a transceiver operably connected to the antenna system, the transceiver configured to receive, from a base station (BS), a first signal via the external antenna of the antenna system, and receive, from the vehicle, configuration information including at least one of a vehicle speed, or a position of a window of the vehicle or windshield wiper. The relay further comprises a processor operably connected to the antenna system and the transceiver, the processor configured to generate a second signal based on (i) the configuration information and (ii) the first signal, wherein the transceiver is further configured to transmit, to a user equipment (UE), the second signal via the internal antenna.

Methods for beam management in vehicle

A method and electronic device for motion assisted leakage removal. The electronic device includes a radar transceiver, a sensor, and a processor. The processor is configured to determine that the electronic device is in a first motion state, During the first motion state, the processor is configured to transmit a first set of signals. The processor is also configured to generate a first channel impulse response (CIR) based on the received first set of signals. The processor is further configured to apply a filter that estimates a leakage depicted by the first CIR. During a second motion state, the processor is configured to transmit a second set of signals. Additionally, the processor is configured to generate a second CIR based on the received second set of signals, and apply the estimated leakage from the first CIR to the second CIR to remove leakage from the second CIR.

Motion assisted leakage removal for radar applications

Growing community of inventors

Richardson, TX, United States of America

Mandar Narsinh Kulkarni