A target network transceiver is tested or monitored using an intelligent transceiver programmed to perform such testing and to transmit test results to a remote server. A demarcation unit enclosure is provided that includes two ports for the target and intelligent transceivers that are connected by a direct data link. An interface circuit connecting control interfaces of the two transceiver ports polls the target transceiver and passes polled control information to the intelligent transceiver.

A data communication system determines Software Defined Network (SDN) Quality-of-Service (QoS). SDN applications transfer SDN controller Application Programming Interface (API) calls and receive SDN controller API responses. The SDN applications measure Key Performance Indicators (KPIs) and transfer SDN application KPI data. An SDN controller receives the controller API calls, transfers the controller API responses, transfers SDN data machine API calls, and receives SDN data machine API responses. The SDN controller measures KPIs and transfer SDN controller KPI data. SDN data machines receive the SDN data machine API calls, perform SDN actions on user data responsive to the data machine API calls, and transfer the data machine API responses. The SDN data machines measure KPIs and transfer SDN data machine KPI data. An SDN QoS server processes the SDN KPI data to generate an SDN QoS score.

A method of tracking remotely captured sensor readings in relation to mobile or stationary assets. Remote assets with local sensors are associated with sensor interface device capable of capturing local sensor readings along with geolocation and timestamps, and transmitting such information via a network interface to a server for storage in a sensor record database. A user in communication with the server can indicate a sample request, via which a subset of sensor records for a particular time window is extracted and the sensor readings and geolocations displayed to the user. The information could be presented in graphic map format. The sensor interface device has a self-contained power supply not requiring power input, allowing for long term remote field use. The server and sensor interface device for use in association with the method is also disclosed.

Novel tools and techniques might provide for implementing interconnection gateway and/or hub functionalities between two or more network functions virtualization (“NFV”) entities that are located in different networks. In some embodiments, a NFV interconnection gateway (“NFVIG”) might receive a set of network interconnection information from each of two or more sets of NFV entities, each set of NFV entities being located within a network separate from the networks in which the other sets of NFV entities are located. The NFVIG might be located in one of these networks. The NFVIG might abstract each set of network interconnection information, and might establish one or more links between the two or more sets of NFV entities, based at least in part on the abstracted sets of network interconnection information. The NFVIG might provide access to one or more virtualized network functions (“VNFs”) via the one or more links.

A computing device may include a memory configured to store instructions and a processor configured to execute the instructions to identify a data connection from an application server device to a user equipment (UE) device, wherein the UE device is connected to the network via a wireless connection; determine a target sending rate for the data connection; determine a round trip time for packets associated with the data connection; and calculate a send buffer size for the data connection based on the determined target sending rate and the determined round trip time. The processor may be further configured to set a send buffer size for a socket associated with the data connection to the calculated send buffer size and control a send rate from the application server device to the UE device for the data connection using the set send buffer size for the socket.

Computerized methods and systems locate a first device connected to a first network. One or more logs, each generated at a corresponding second device connected to the first network, are received via a second network linked to the first network. Each log has network data having network information associated with the corresponding second device, and location data having location information indicative of a location of the corresponding second device. The network data is analyzed to identify network information in at least one log that matches received network information associated with the first device. Location information in the location data of the at least one log is used to determine a location associated with the first device. In some implementations, the network data in the at least one log and timestamps associated with the network data in the at least one log are used in order to classify the determined location.

A system for analyzing energy usage measures one or more parameters indicative of energy usage for a plurality of sub-circuits, where the sampling rate for the measuring is substantially continuous, and automatically transmits information related to at least one of the measured parameters at a rate that enables monitoring of current energy usage. The system further detects a significant change in a measured parameter, determines whether the significant change in the measured parameter is caused by a change in energy usage, and automatically transmits information related to the significant change in the measured parameter caused by the change in energy usage after detecting the significant change.

Techniques described herein register an endpoint device, such as a utility meter, with multiple headend systems. A system described herein includes a utility meter, which measures consumption of a resource, and a Network Management System (NMS) headend system, which manages a network. The utility meter joins the network and obtains an Internet Protocol (IP) address of the NMS headend system. The utility meter transmits a network registration request to the NMS headend system using the IP address of the NMS headend system and receives, from the NMS headend system, network-related settings of the network. The utility meter obtains an IP address of a second headend system configured to provide a service over the network. Further, the utility meter receives, from the second headend system, configuration settings for using the service of the second headend system and, as such, configures the radio with the network-related settings and the configuration settings.

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

This document describes systems and techniques for evaluating and improving distribution-grid data transportability. These systems and techniques allow engineers to quantify the data transportability of a communication system within or connected to a distribution grid, which represents an ability to transport in real-time telemetry from source locations (e.g., sensors in the distribution grid) to control mechanisms. Distribution engineers can use the sensor readings to perform grid analytics, control operating parameters, and operate protection systems. Distribution engineers can also use the transportability of the communication system to evaluate the observability of the distribution grid, which represents an ability to combine actual measurements and various types of computations (e.g., analytics, estimators, forecasters) from a system model. Distribution engineers can then generate a sensor allocation plan that indicates the number and location of sensors to maximize observability for a fixed sensor cost and/or minimize sensor cost for predetermined observability.