Centralized spectrum management for interference mitigation

    公开(公告)号:US11202297B2

    公开(公告)日:2021-12-14

    申请号:US16146723

    申请日:2018-09-28

    Abstract: Systems and methods described herein provide a centralized solution for interference mitigation that focuses on efficient spectrum management. Wireless Access Points (APs) collect interference measurements for wireless channels and generate corresponding interferer airtime estimates. The APs also determine Packet Error Rates (PERs) for wireless client devices currently being served via the channels by the APs. The APs send the interferer airtime measurements and the PERs to a centralized controller. If an interferer airtime estimate and a PER for a particular channel satisfy predefined threshold conditions, the controller modifies an allocation of wireless bandwidth for an AP that is currently using the channel and sends a message to the AP indicating how the allocation has been modified.

    Determining car positions
    3.
    发明授权

    公开(公告)号:US10380889B2

    公开(公告)日:2019-08-13

    申请号:US15664357

    申请日:2017-07-31

    Abstract: Examples provided herein describe a method for determining car positions. For example, a physical processor of an edge computing device may receive position data for a legacy car and information about a make and model of the legacy car. The first edge device may also receive, from a sensor-rich car, a set of sensor data about a set of observed cars in the vicinity of the sensor-rich car, a set of position data for the set of observed cars, and a set of visual data of the set of observed cars, wherein the set of observed cars includes the legacy car and the sensor-rich car. The edge device may then determine an updated position for the legacy car based on the set of position data for the set of observed cars, the set of visual data, and the set of sensor data and provide the updated position of the legacy car.

    MOBILE VIRTUAL PRIVATE NETWORK CONFIGURATION

    公开(公告)号:US20190058694A1

    公开(公告)日:2019-02-21

    申请号:US16070948

    申请日:2016-01-29

    Abstract: Example implementations relate to mobile virtual private network (mVPN) configuration. For example, a system for mVPN configuration may include a configuration selector to intercept an internet protocol (IP) packet in a mobile virtual private network (mVPN) and select a mVPN configuration for the IP packet using a lookup table. The system may further include a configuration adapter to adapt the IP packet according to the selected mVPN configuration.

    LEARNING-DRIVEN LOW LATENCY HANDOVER

    公开(公告)号:US20210329522A1

    公开(公告)日:2021-10-21

    申请号:US16852306

    申请日:2020-04-17

    Abstract: Systems and methods are provided for predicting handover events in wireless communications systems, such as 4G and 5G communications networks. Machine learning is used to refine the predicting of handover events, where per-cell local handover prediction models may be trained by mobile user devices operating in the wireless communications systems. Parameters gleaned from the localized training of the per-cell local handover prediction models may be shared by multiple mobile user devices and aggregated by a global handover prediction model, which in turn may be used to derive refined per-cell local handover prediction models that can be disseminated to the mobile user devices.

    Deep neural network color space optimization

    公开(公告)号:US11049286B2

    公开(公告)日:2021-06-29

    申请号:US16527954

    申请日:2019-07-31

    Abstract: Example method includes: transmitting a plurality of probe images from an IoT device at an edge network to a server hosting a target DNN, wherein the plurality of images are injected with a limited amount of noise to probe sensitivities of the target DNN to the red, green, and blue colors; receiving a feedback comprising a plurality of DCT coefficients unique to target DNN from the server hosting the target DNN; computing a plurality of color conversion weights based on the feedback received from the server; converting a set of real-time images from RGB color space to YUV color space using the plurality of color conversion weights unique to the target DNN; compressing the set of real-time images using a quantization table unique to the target DNN by the IoT device; and transmitting the compressed set of real-time images to the server hosting the target DNN for DNN inferences.

    ACCURATE LOCALIZATION OF CLIENT DEVICES FOR WIRELESS ACCESS POINTS

    公开(公告)号:US20200088869A1

    公开(公告)日:2020-03-19

    申请号:US16134304

    申请日:2018-09-18

    Abstract: This disclosure provides systems through which a wireless access point (AP) can determine the location of a client device with a high degree of accuracy. The AP uses CIR measurements for a plurality of directional beams used to communicate with the client device to determine a respective amplitude of a Line-of-Sight (LOS) path between the AP and the client device for each beam. The AP identifies a high-LOS-amplitude subset of the beams and, based on predefined radiation patterns associated with the beams included in the high-LOS-amplitude subset, determines a direction of the LOS path between the AP and the client device. The AP also determines a Time-of-Flight (ToF) for radio frames exchanged between the AP and the client device via the plurality of directional beams and uses the ToF to determine a distance between the AP and the client device.

Patent Agency Ranking