Patent classifications
H04M15/8016
Collaborative scheduling of last hop cellular traffic
An eNodeB or other cell access point device can receive demand data from mobile devices served by the cell. The demand data can represent an estimate of demand over a future period for network resources (e.g., bandwidth). The cell can aggregate this demand data and determine price data for the time period or for various intervals of the time period, then transmit the price data to the mobile devices. The price data can operate as a collaborative approach to scheduling traffic. For example, data (e.g., delay tolerant data) can be shifted (e.g., delayed for a few seconds) based on an examination of the price data in conjunction a determined priority of the data. Such can be applicable to data traffic not traditionally thought of as delay tolerant such as streaming video or web browsing, and can be accomplished without negatively impacting the quality of service or experience of the client.
Device group partitions and settlement platform
Device group partitions and a settlement platform are provided. In some embodiments, device group partitions (e.g., partitions of devices based on associated device groups) are provided. In some embodiments, a settlement platform service is provided. In some embodiments, a settlement platform service is provided for partitioned devices. In some embodiments, collecting device generated service usage information for one or more devices in wireless communication on a wireless network; and aggregating the device generated service usage information for a settlement platform for the one or more devices in wireless communication on the wireless network is provided. In some embodiments, a settlement platform implements a service billing allocation and/or a service/transactional revenue share among one or more partners. In some embodiments, service usage information includes micro-CDRs, which are used for CDR mediation or reconciliation that provides for service usage accounting on any device activity that is desired. In some embodiments, each device activity that is desired to be associated with a billing event is assigned a micro-CDR transaction code, and a service processor of the device is programmed to account for that activity associated with that transaction code. In some embodiments, a service processor executing on a wireless communications device periodically reports (e.g., during each heartbeat or based on any other periodic, push, and/or pull communication technique(s)) micro-CDR usage measures to, for example, a service controller or some other network element for CDR mediation or reconciliation.
DYNAMIC EMBEDDED-SIM CONFIGURATION
Embodiments of the present invention provide computer-implemented methods, computer program products, and computer systems. Embodiments of the present invention can dynamically determine an optimal embedded subscriber identification module (eSIM) configuration of respective edge devices connected to a network. Embodiments of the present invention can then dynamically change a data plan associated with the eSIM of respective edge devices connected to the network such that activity can be executed with required quality by the respective edge devices based on contextual need of data processing, volume of data transfer, and speed of data transfer among the respective edge devices.
STEERING OF ROAMING OPTIMIZATION WITH SUBSCRIBER BEHAVIOR PREDICTION
Aspects of the subject disclosure may include, for example, obtaining roaming agreement data related to roaming agreements that are between a wireless provider and a respective one of a plurality of wireless roaming providers; obtaining, for each wireless subscriber of the wireless provider, respective roaming usage data, all of the respective roaming usage data comprising collective roaming usage data; training, based upon the collective roaming usage data, a set of one or more models, the one or more models comprising one or more statistical models, one or more machine learning models, or any combination thereof, the one or more models being trained with multiple iterations of feedback loops, and the training resulting in one or more trained models; estimating for each wireless subscriber, based upon the one or more trained models, respective projected location information for a future time, all of the respective projected location information comprising collective projected location information; obtaining, for each of a plurality of wireless coverage areas of the plurality of wireless roaming providers, respective real-time network quality measurement data, all of the respective real-time network quality measurement data comprising collective real-time network quality measurement data; modeling a plurality of scenarios for the future time based upon the roaming agreement data, based upon the collective real-time network quality measurement data and based upon the collective projected location information, each of the scenarios identifying for each of a plurality of projected future wireless roaming subscribers a respective one of the wireless roaming providers to communicate with at the future time, each of the scenarios further identifying a respective cost to the wireless provider, and the modeling being performed via use of a plurality of model constraints; selecting from the scenarios, as a selected scenario, a scenario that has associated therewith a lowest total cost to the wireless provider also satisfying one or more of the plurality of model constraints based upon the collective roaming agreement data; and sending recommendations, to a plurality of steering mechanisms, in order to implement the selected scenario. Other embodiments are disclosed.
Usage of pre-authorized QoS
In one aspect, a device, operating in an access network that can provide a plurality of QoS levels for user data flowing to and from the device, establishes a packet data session via the access network and receives, from the access network, cost information associated with each of one or more QoS levels. The device selects, for user data for at least a first application or service, a QoS level from among the plurality of QoS levels based on the cost information. The device transmits packets carrying user data for the first application or service to the access network. The transmission includes applying a QoS treatment to the user data according to the selected QoS level.
5G BANDWIDTH PART CONFIGURATION METHOD IN CBRS FIXED WIRELESS ACCESS NETWORK
Various embodiments comprise systems, methods, and apparatus for allocating resources in a 5G network comprising Citizens Broadband Radio Service Device (CBSD) nodes configured for communicating via granted spectrum with customer premises equipment (CPE) supporting wireless access points (WAPs) and the like, wherein an initial small bandwidth part (BWP) is assigned to each CPE, a BWP update process provides to a policy control function a list of devices/capabilities consuming CPE bandwidth so that the PCF may calculate a new bandwidth requirement for the CPE, the new requirement being used by the CPE to generate a CPE UE capability information message for the CBSD node, the CBSD node assigning an appropriately sized BWP for the CPE.
Method for transmitting and receiving data in wireless communication system and terminal therefor
Disclosed is a method in which a first terminal receives data in a wireless communication system. Specifically, the method may include transmitting a first message that includes a sidelink communication request and receiving sidelink communication data from a second terminal. In particular, the first terminal may be a subscriber of a first Public Land Mobile Network (PLMN), and the second terminal may be a subscriber of a second PLMN different from the first PLMN. In addition, the sidelink communication data may be received by using a carrier of the first PLMN. The first terminal is capable of communicating with at least one of another UE, a UE related to an autonomous driving vehicle, a base station or a network.
SYSTEMS AND METHODS FOR DISTRIBUTED CHARGING IN DIGITAL TELECOMMUNICATIONS NETWORKS
Techniques for distributed charging in digital telecommunications networks are disclosed. In one particular embodiment, the techniques may be realized as a method that includes provisioning a data path that carries a plurality of network flows, receiving a shared usage quota associated with the plurality of network flows, and allocating the shared usage quota among the plurality of network flows. For each network flow among the plurality of network flows, the method includes providing the data path with data indicative of an amount of the shared usage quota allocated to the network flow, configuring the data path to collect metering data associated with the network flow, and configuring the data path to enforce the shared usage quota based on the metering data associated with the network flow and the amount of the shared usage quota allocated to the network flow.
TIME SENSITIVE COMMUNICATION QUALITY OF SERVICE ALTERNATIVES
Methods, apparatuses, and computer program products provide for specifying, in quality of service (QoS) requests, alternative QoS-related parameter sets and/or alternative traffic pattern parameter sets. In the context of one method, the method receives a QoS request comprising one or more QoS parameters and/or one or more traffic pattern parameters, and one or more alternative QoS parameter sets and/or one and more alternative traffic pattern parameter sets. The method also selects the one or more QoS parameters or an alternative QoS parameter set of the one or more alternative QoS parameter sets based on a supporting capability of a network. The method also causes transmission of a Policy and Charging Control (PCC) rule based on the selected parameters and transmits an indication of the selected parameters.
Device-Assisted Services for Protecting Network Capacity
Device Assisted Services (DAS) for protecting network capacity is provided. In some embodiments, DAS for protecting network capacity includes monitoring a network service usage activity of the communications device in network communication; classifying the network service usage activity for differential network access control for protecting network capacity; and associating the network service usage activity with a network service usage control policy based on a classification of the network service usage activity to facilitate differential network access control for protecting network capacity.