Patent classifications
H04W16/22
Methods and systems for emulating testing-plan channel conditions in wireless networks
Disclosed herein are methods and systems for emulating testing-plan channel conditions in wireless networks. One embodiment takes the form of a process that includes identifying a data-rate threshold and one or more testing-plan channel conditions. The process also includes identifying testing-scenario channel conditions corresponding to the testing-plan channel conditions. The process also includes selecting an attenuation offset based on a comparison of the one or more identified testing-scenario channel conditions to the one or more identified testing-plan channel conditions. The process also includes measuring a data rate with a testing-scenario attenuation level set equal to the selected attenuation offset. The process also includes storing testing-plan-compliance data associated with the measured data rate and the data-rate threshold.
Methods and systems for emulating testing-plan channel conditions in wireless networks
Disclosed herein are methods and systems for emulating testing-plan channel conditions in wireless networks. One embodiment takes the form of a process that includes identifying a data-rate threshold and one or more testing-plan channel conditions. The process also includes identifying testing-scenario channel conditions corresponding to the testing-plan channel conditions. The process also includes selecting an attenuation offset based on a comparison of the one or more identified testing-scenario channel conditions to the one or more identified testing-plan channel conditions. The process also includes measuring a data rate with a testing-scenario attenuation level set equal to the selected attenuation offset. The process also includes storing testing-plan-compliance data associated with the measured data rate and the data-rate threshold.
Realistic simulation of an internet-of-things system
A method for simulation of behavior and/or performance of an internet-of-things system uses an internet-of-things simulation environment. The simulated internet-of-things system includes at least a plurality of simulated internet-of-things communication devices in a communication network providing radio coverage in a predetermined geographical area. Via transmission of internet-of-things payload data between the simulated internet-of-things communication devices and the communication network, the simulated internet-of-things system provides a simulated internet-of-things service.
Environment information acquisition method, environment information acquisition apparatus and environment information acquisition system
An environmental information acquisition method is performed by an environmental information acquisition apparatus that acquires a measurement result of a radio wave environment. The environmental information acquisition method includes distributing software of each radio scheme to one or more base station apparatuses measuring a radio wave environment of the radio scheme based on the software of the radio scheme, instructing the one or more base station apparatuses to measure the radio wave environment, and acquiring the measurement result of the radio wave environment from the one or more base station apparatuses measuring based on the software the radio wave environment in multiple sections set across an area.
Environment information acquisition method, environment information acquisition apparatus and environment information acquisition system
An environmental information acquisition method is performed by an environmental information acquisition apparatus that acquires a measurement result of a radio wave environment. The environmental information acquisition method includes distributing software of each radio scheme to one or more base station apparatuses measuring a radio wave environment of the radio scheme based on the software of the radio scheme, instructing the one or more base station apparatuses to measure the radio wave environment, and acquiring the measurement result of the radio wave environment from the one or more base station apparatuses measuring based on the software the radio wave environment in multiple sections set across an area.
Mathematical Summaries of Telecommunications Data for Data Analytics
Telecommunications data may be summarized into mathematical statistics that may not correlate with conventional semantic attributes. Such statistics may be difficult to observe without access to the telecommunications data, and therefore may be much less susceptible to social engineering attacks or other privacy-related vulnerabilities. The mathematical statistics may represent first, second, or higher order behavior-related observations relating to subscribers physical movements, engagement of applications and web browsing on a mobile device, as well as usage and billing of a mobile device. The statistics may not correlate to semantic identifiers for subscribers, and therefore may be difficult to observe and therefore identify specific subscribers whose statistical summaries may be known.
Cellular communication equipment radio resource adaptation
A cellular communication radio resource adaptor. The adaptor comprises a data store, at least one processor, a non-transitory memory, and an application. The application accesses a network management system (NMS) of an original equipment manufacturer (OEM) identified in an inventory of radio access network (RAN) equipment to read cell site equipment setting information. The application analyzes the cell site setting information and presents a map of an area overlaid with a graphical indication of the cellular communication radio resources owned or leased by a service provider and overlaid with a graphical indication of the cellular coverage areas by each cell site. The service provider may then adapt RAN equipment of the cell sites to efficiently use cellular communication radio resources.
Cellular communication equipment radio resource adaptation
A cellular communication radio resource adaptor. The adaptor comprises a data store, at least one processor, a non-transitory memory, and an application. The application accesses a network management system (NMS) of an original equipment manufacturer (OEM) identified in an inventory of radio access network (RAN) equipment to read cell site equipment setting information. The application analyzes the cell site setting information and presents a map of an area overlaid with a graphical indication of the cellular communication radio resources owned or leased by a service provider and overlaid with a graphical indication of the cellular coverage areas by each cell site. The service provider may then adapt RAN equipment of the cell sites to efficiently use cellular communication radio resources.
GLOBAL COMMUNICATION NETWORK SYSTEM BASED ON MICRO BASE STATION AND EDGE COMPUTING
The present disclosure provides a global communication network system based on a micro base station and edge computing, including at least one micro base station. Each micro base station includes an edge computing center, a business network element and a micro base station access network. The comprehensive carrying capability of a wireless network, the regional resource sharing capability, the computing capability of an access terminal, the flexible application capability of the access terminal and user experience of extremely low delay are improved.
Computer system for providing service consumption plan for efficient service migration in mobile edge computing environments, and method thereof
Various embodiments relate to a computer system for providing a service consumption plan for efficient service migration in a mobile edge computing (MEC) environment, and a method thereof. The computer system and the method may be configured to construct a graph representing edges indicating a plurality of road segments and a plurality of MEC servers covering the road segments, detect the service consumption plan for maximizing a ratio of a utilized journey time, which is served through at least one of the MEC servers for a total journey time, with respect to paths between a starting vertex and a goal vertex set by a user by using the graph, and provide the user with the service consumption plan.