H04W16/18

PERSPECTIVE DETERMINATION METHOD, PERSPECTIVE DETERMINATION APPARATUS AND PROGRAM

A line-of-sight determination method includes: a point cloud data acquisition step of acquiring point cloud data including a first position indicating a position of a first wireless station and a plurality of second positions indicating positions on a structure serving as a candidate in which a second wireless station opposing the first wireless station is to be installed; and a line-of-sight determination step of determining whether or not there is a line of sight between the first position and at least one of the second positions, and determining whether or not there is a line of sight between the first wireless station and the structure based on the determination result. In the line-of-sight determination step, if it has been determined that there is no line of sight between the first position and a first second position of the second positions, it is not determined whether or not there is a line of sight between the first position and a second second position among the second positions, the second second position being located in the vicinity of the first second position.

ARTIFICIAL INTELLIGENCE BASED MANAGEMENT OF WIRELESS COMMUNICATION NETWORK

Deviations of signal strengths in a first frequency band from signal strengths in at least one second frequency band are predicted based on a trained machine-learning model (350′). At least one source signal strength map is obtained. The at least one source signal strength map describes signal strengths in the at least one second frequency band for a coverage area of the wireless communication network. Based on the at least one source signal strength map and the predicted deviations of signal strengths, at least one target signal strength map describing signal propagation in the first frequency band for the coverage area is determined.

ARTIFICIAL INTELLIGENCE BASED MANAGEMENT OF WIRELESS COMMUNICATION NETWORK

Deviations of signal strengths in a first frequency band from signal strengths in at least one second frequency band are predicted based on a trained machine-learning model (350′). At least one source signal strength map is obtained. The at least one source signal strength map describes signal strengths in the at least one second frequency band for a coverage area of the wireless communication network. Based on the at least one source signal strength map and the predicted deviations of signal strengths, at least one target signal strength map describing signal propagation in the first frequency band for the coverage area is determined.

Dynamic Adjustment of Deployment Location of Software Within a Network

Optimizing a performance of a software function within a content delivery network, such as a software-implemented virtual cable modem termination system (CMTS) network, a virtualized Radio Access Network (vRAN), a Passive Optical Network (PON), or a Wi-Fi network. The performance may be optimized by dynamically changing a deployment location of a software function for a set of one or more users but not all users of a content delivery network from an original location to an updated location using an instance management platform. The deployment location may be dynamically changing in response to a variety of trigger conditions or concerns, such as but not limited to a difference in compute resources, responding to latency needs or tolerances, and a desired cohabitation of data or other software.

Dynamic Adjustment of Deployment Location of Software Within a Network

Optimizing a performance of a software function within a content delivery network, such as a software-implemented virtual cable modem termination system (CMTS) network, a virtualized Radio Access Network (vRAN), a Passive Optical Network (PON), or a Wi-Fi network. The performance may be optimized by dynamically changing a deployment location of a software function for a set of one or more users but not all users of a content delivery network from an original location to an updated location using an instance management platform. The deployment location may be dynamically changing in response to a variety of trigger conditions or concerns, such as but not limited to a difference in compute resources, responding to latency needs or tolerances, and a desired cohabitation of data or other software.

CONTROL METHOD AND CONTROL DEVICE IN HETEROGENEOUS THREE-DIMENSIONAL HIERARCHICAL NETWORK, AND COMMUNICATION SYSTEM

A control method and a control device in a heterogeneous three-dimensional hierarchical network, and a communication system are provided. The control method includes: obtaining a coverage mode of a terminal; when the coverage mode is single-layered sub-network coverage, setting a non-ground mobile communication sub-network or a ground mobile communication sub-network corresponding to the single-layered sub-network coverage to be in a standalone operating mode or an intra-layer carrier aggregation mode; and when the coverage mode is multi-layered sub-network coverage, setting the non-ground mobile communication sub-network corresponding to the multi-layered sub-network coverage, or the ground mobile communication sub-network and the non-ground mobile communication sub-network corresponding to the multi-layered sub-network coverage, to be in a cross-layer carrier aggregation mode. The ground mobile communication sub-network and the non-ground mobile communication sub-network use a same or unified radio access technology.

SYSTEMS AND METHODS FOR IDENTIFYING A SOURCE OF RADIO FREQUENCY INTERFERENCE IN A WIRELESS NETWORK

An interference detection system in a network determines that an unknown radio frequency (RF) interference source that causes RF interference experienced by a first wireless station is a persistent RF interference source over a plurality of time intervals in a selected time period. A predicted interference source location is identified for each time interval in the selected time period. An aggregated predicted interference source location is calculated based on the identified one or more predicted interference source locations.

ACTIVE USER EQUIPMENT COUNTING

Techniques are provided for determining a number of user equipment in an area. An example method for determining a number of mobile devices in a counting area includes determining the counting area, determining counting configuration information based on the counting area, transmitting the counting configuration information to one or more mobile devices, receiving counting responses from the one or more mobile devices, and determining the number of mobile devices in the counting area based on the counting responses.

ACTIVE USER EQUIPMENT COUNTING

Techniques are provided for determining a number of user equipment in an area. An example method for determining a number of mobile devices in a counting area includes determining the counting area, determining counting configuration information based on the counting area, transmitting the counting configuration information to one or more mobile devices, receiving counting responses from the one or more mobile devices, and determining the number of mobile devices in the counting area based on the counting responses.

Apparatus and method for efficient deployment of nodes in a network

A method and apparatus for efficient deployment of nodes in a network includes obtaining first data that indicates first locations of nodes in a network and terrain data that indicates height of terrain at terrain locations. The method further includes determining an exploration region for a first node and dividing the exploration region into subregions. The method further includes determining a proxy location for each subregion that is a location corresponding to a characteristic of the terrain data in the subregion. The method further includes determining a value of a parameter that indicates a contribution of the first node at each proxy location to network fitness. The method further includes assigning a second location to the first node based on the determined parameter value at each proxy location. The method further includes relocating the first node from the first location to the second location.