Verizon Patent and Licensing Inc.

Corey J Christopherson

Donna L Polehn

Fred Weisbrod

Patricia Ruey Chang

James Byron Jones

Joshua J Crans

Manuel Bedoya

David Taft

Mark T Watts

David George Lincoln, Jr

Ronald J Lawrence

Paul James Purcell

One or more computing devices, systems, and/or methods for identifying interference patterns associated with wireless communication sites and/or grouping wireless communication sites based upon identified interference patterns are provided. In an example, signal strength information associated with a wireless communication site communicating with a user equipment (UE) may be determined. An interference pattern representation of one or more interference patterns associated with the wireless communication site may be generated based upon the signal strength information. A plurality of wireless communication sites, including the wireless communication site, may be grouped into groups of wireless communication sites based upon interference pattern representations associated with the plurality of wireless communication sites. The interference pattern representations include the interference pattern representation.

System and method for interference pattern identification

A method, a device, and a non-transitory computer-readable storage medium are described in which an predictive discontinuous reception (DRX) bypass service is provided. The bypass service may provide flow control signaling that enables an uplink grant to be transmitted to an end device regardless of the DRX mode. The bypass service may provide for an immediate grant for uplink data and may improve latency. The bypass service may also provide flow control signaling for downlink data that may cause the end device to wake up from a DRX mode and receive downlink data. The bypass service also provides predictive scheduling that allows an external network, such as a multi-access edge computing network to establish a DRX-free downlink connection before completion of data processing. The flow control signaling may include a quality of service flow identifier value that correlates to the bypass service.

Method and system for predictive discontinuous reception bypass

A method, a device, and a non-transitory storage medium are described in which a cellular device-satellite communications service is provided. The service may provide establishment, maintenance, and termination of uplink and downlink connections via a satellite network, a terrestrial network, and both based on network information and satellite information. The service may also provide scheduling for user plane traffic via the uplink and downlink connections.

Method and system for cellular device-satellite communications

In the various embodiments, a radio communication system implementing an Switched Antenna Array (SAA) is provided that minimizes the number of radio chains required for a given number of antennas by implementing a radio frequency (RF) switch that connects the radio chains to the antennas. In some embodiments, the RF switch can activate a subset of antennas in the antenna array to generate an appropriate beam pattern for communications with another device. In some embodiments, a method is provided to determine a configuration matrix corresponding to a beam pattern with a desired signal conformity level.

Systems and methods for switched antenna array configuration

A management system obtains, from a user device, information indicating a power measurement of a beam set that is utilized to communicate with the user device. The beam set includes one or more active beams, of a plurality of beams, that are associated with a single beam identifier. The management system identifies a location of the user device and thereby determines an expected power measurement of the beam set. The management system determines that a difference between the power measurement of the beam set and the expected power measurement of the beam set satisfies (e.g., is greater than or equal to) a difference threshold. The management system therefore causes the beam set to be modified. The management system may use a machine learning model (e.g., a neural network machine learning model) to facilitate modification of the beam set.

Systems and methods for dynamic beam set optimization

In some implementations, a base station may provide a first continuous wave signal during a first period of time. The base station may receive, from a first device, a first response signal based on providing the first continuous wave signal. The base station may provide, to the first device, a second continuous wave signal during a second period of time subsequent to the first period of time, wherein the second continuous wave signal is provided based on receiving the first response. The base station may receive, from the first device, a second response signal based on providing the second continuous wave, wherein the second response signal includes device data obtained by the first device.

Systems and methods for obtaining data of a device via a backscatter signal

Systems and methods provide decentralized MEC compute services. A network device receives, from a user device associated with a user account, an access request for Multi-access Edge Computing (MEC) services. The user account includes a MEC service token that indicates parameters for the MEC services. The network device validates a user of the user device to access MEC services for the user device; removes, after the validating, the MEC service token from the first user account; and grants, based on the removing, access to a MEC cluster by the user device, wherein granting access includes granting access according to the parameters.

System and method for allocating multi-access edge computing services

A device may receive capacity information associated with a plurality of base stations, and may receive user equipment demands associated with the plurality of base stations. The device may receive, from a satellite, a satellite backhaul demand associated with the satellite, and may calculate excess backhaul capacities associated with the plurality of base stations, based on the user equipment demands and the capacity information. The device may identify a base station, of the plurality of base stations, to provide a satellite backhaul path for the satellite, based on the excess backhaul capacities and the satellite backhaul demand, and may provide, to the base station, a message instructing the base station to activate a satellite antenna associated with the base station. The device may provide, to the satellite, data identifying the base station, and may establish the satellite backhaul path for the satellite, via the base station.

Systems and methods for providing satellite backhaul management over terrestrial fiber

A method may include obtaining connection-related data associated with user equipment (UE) devices operating in a network, wherein the UE devices include unmanned aerial vehicles (UAVs) and devices other than UAVs. The method may include storing the connection-related data; identifying, in the stored connection-related data, data associated with known UAVs and filtering the stored connection-related data based on a distance associated with a known UAV. The method may further include training a machine learning classifier using the filtered data and executing the machine learning classifier to identity UAVs operating in the network.

Systems and methods for unmanned aerial vehicle detection

A user equipment (UE) device may determine its location with a high degree of precision, beyond the capability of other current methodologies. Specifically, a UE device may obtain High Precision (HIP) coordinates of its location based on Random Access Channel (RACH) messages that the UE device exchanges with multiple wireless stations. Using RACH messages to obtain HIP coordinates imposes little communication overhead or computational burden on the UE device and the network.

Determining device locations based on random access channel signaling

A device may receive a wireless communication that is provided to a wireless network by a user equipment. The device may identify a value of a parameter of the wireless communication. The device may obtain an expected value of the parameter. The device may compare the value and the expected value. The device may determine, based on comparing the value and the expected value, that the wireless communication was relayed by a wireless communication repeater. The device may determine that the wireless communication repeater is unauthorized to relay the wireless communication. The device may perform an action associated with the wireless communication repeater relaying the wireless communication and based on the wireless communication repeater being unauthorized to relay the wireless communication.

Systems and methods for detecting a wireless communication repeater

A user equipment (UE) device may include a memory and one or more processors. The one or more processors operate to determine one or more of a signal strength or signal quality for each of a plurality of networks available for connection via the communication interface and the antenna assembly. Virtual user equipment (VUE) for two or more of the identified plurality of networks are allocated and the UE device connects to the two or more networks using the respective VUEs.

Virtualized equipment for multi-network and cross cell utilization

A system described herein may provide a technique for the modeling of channel condition information, associated with a base station of a radio access network ('RAN') associated with a wireless network, over time. The model may be used to determine, estimate, or predict channel information associated with the base station at a given time, such as a time corresponding to a request for content (e.g., streaming content). The channel condition information corresponding to this time, as determined based on the model, may be used to select a particular version of the content to provide in response to the request. By virtue of receiving this information, the content provider may forgo performing a speed test, a ramp up transmission scheme, and/or other technique that may otherwise used to select the version of the content to provide in response to the request.

Systems and methods for content selection and delivery based on radio access network ('RAN') conditions

A device can determine a set of parameters associated with generating a route plan for routing an unmanned aerial vehicle (UAV) in a three-dimensional (3D) environment. The set of parameters can include a parameter that identifies a radio frequency (RF) condition to be satisfied by the route plan. The device can determine a route, associated with the 3D environment, based on the parameter that identifies the RF condition and using an RF model. The RF model can be associated with predicting RF conditions in the 3D environment. The device can generate the route plan including information associated with the route. The device can provide information associated with the route plan.

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Bainbridge Island, WA, United States of America

Corey J Christopherson