H04W24/02

Device group partitions and settlement platform
11533642 · 2022-12-20 · ·

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.

Detecting communication network insights of alerts

In one embodiment, a computing system receives a request for a quality of experience report associated with a plurality of geographic areas connected by a communication network. The system accesses a plurality of quality of experience metrics from the plurality of geographic areas. The system identifies one or more of the plurality of geographic areas that have low quality of experiences based on their respective quality of experience metrics and a set of criteria which includes one or more thresholds corresponding to the quality of experience metrics. The system determines for each identified geographic area, a severity of the low quality of experiences. The severity is based on a connection demand metric associated with each geographic area. The system sends instructions for presenting the quality of experience report which indicates the severity of the low quality of experiences for each identified geographic area.

Paging method and device in unlicensed band
11533703 · 2022-12-20 · ·

Provided are a paging method and device in an unlicensed band. The method may include receiving configuration information about at least two paging occasions (POs) for paging in an unlicensed band; and sequentially monitoring a downlink control channel (PDCCH) in the paging occasions until a paging message is received on the basis of the configuration information.

Machine learning-assisted use case classification and adaptive antenna tuning

Certain aspects of the present disclosure provide techniques for adaptively tuning a wireless data transmission system in an electronic device, including: generating a plurality of measurements of an element of the wireless data transmission system in the electronic device; generating a determined use case for the electronic device based on a use case determination model and the plurality of measurements; determining one or more antenna settings associated with the determined use case; tuning the wireless data transmission system based on the one or more antenna settings; and transmitting data via the wireless data transmission system using the one or more antenna settings.

Machine learning-assisted use case classification and adaptive antenna tuning

Certain aspects of the present disclosure provide techniques for adaptively tuning a wireless data transmission system in an electronic device, including: generating a plurality of measurements of an element of the wireless data transmission system in the electronic device; generating a determined use case for the electronic device based on a use case determination model and the plurality of measurements; determining one or more antenna settings associated with the determined use case; tuning the wireless data transmission system based on the one or more antenna settings; and transmitting data via the wireless data transmission system using the one or more antenna settings.

Wireless remote monitoring system and data collection and control and method of using the same
11533726 · 2022-12-20 · ·

System and method for collection, control and wireless transmission of environmental and other data. Nodes may wirelessly connect to other nodes to relay node specific information, collected sensor data or commands to and from other nodes and gateway nodes linked to a central database. Nodes in gateway mode may be capable of aggregating and relaying commands and data between other nodes and a centralized database. Nodes may bypass other nodes and/or gateway nodes and communicate directly with the central database via satellite or cellular link. Nodes may be self-contained devices, inclusive of a wind or solar power source and a battery, eliminating the need for an external power source. Nodes may be configured independently or as a system to monitor and control various types of equipment including utility lines or water systems or used to collect environmental data. Nodes may communicate on different channels/frequencies based on systematic or pseudo-random changes.

Identifying a tethered device using TCP error transmissions

Various embodiments comprise systems, methods, mechanisms, and apparatus by which a network operator such as a wireline internet service provider (ISP) may determine that an endpoint device has one or more other wireless devices tethered to it, such as a mobile handset providing dual-Wi-Fi ad-hoc tethering (i.e., connected to a high-speed Wi-Fi network while simultaneously providing Wi-Fi connections to wireless devices tethered to the mobile handset), by monitoring Transmission Control Protocol (TCP)/IP traffic flow associated with endpoint devices (i.e., to or through endpoint devices), characterizing these traffic flows in accordance with one or more error indicative criteria to establish thereby a baseline profile of error indicative criteria that is indicative of a TCP/IP traffic flow associated with an endpoint device that is not associated with tethering (e.g., a rate or number of duplicate ACKs), wherein deviations from the baseline profile of error indicative criteria beyond a threshold are indicative of a TCP/IP traffic flow associated with an endpoint device that is associated with tethering.

Identifying a tethered device using TCP error transmissions

Various embodiments comprise systems, methods, mechanisms, and apparatus by which a network operator such as a wireline internet service provider (ISP) may determine that an endpoint device has one or more other wireless devices tethered to it, such as a mobile handset providing dual-Wi-Fi ad-hoc tethering (i.e., connected to a high-speed Wi-Fi network while simultaneously providing Wi-Fi connections to wireless devices tethered to the mobile handset), by monitoring Transmission Control Protocol (TCP)/IP traffic flow associated with endpoint devices (i.e., to or through endpoint devices), characterizing these traffic flows in accordance with one or more error indicative criteria to establish thereby a baseline profile of error indicative criteria that is indicative of a TCP/IP traffic flow associated with an endpoint device that is not associated with tethering (e.g., a rate or number of duplicate ACKs), wherein deviations from the baseline profile of error indicative criteria beyond a threshold are indicative of a TCP/IP traffic flow associated with an endpoint device that is associated with tethering.

Monitoring the Performance of a Plurality of Network Nodes

A computer-implemented method and apparatus for monitoring the performance of a plurality of network nodes interconnected in a multi-hop arrangement using at least one node performance assessment threshold is described. A plurality of data sets is obtained. A data set comprises a respective value of a performance metric for each of the plurality of network nodes. Each of the plurality of data sets is classified as normal or abnormal by comparing the respective values of the performance metric of each of the plurality of network nodes to a corresponding normality threshold, thus providing a plurality of classified data sets. The plurality of classified data sets is processed using a machine-learning algorithm in order to derive, for at least one network node of the plurality of network nodes, a node performance assessment threshold indicative of a value of the performance metric of the at least one node at which the plurality of network nodes has a predetermined likelihood of being classified as normal.

NETWORK ENTITY, USER EQUIPMENT AND METHOD

A network entity for a mobile telecommunications system, including circuitry configured to perform an admission control of a received connection request to the mobile telecommunications system, wherein the admission control is performed based on a plurality of admission control layers.