The present invention relates to a system and method for calculating spare capacity in a Fixed Wireless Access (FWA) communication network at sector and network level. The capacity is measured in terms of sellable customers, that is, the number of Customer Premises Equipment (CPEs) that can be connected to a sector in order to deliver a minimum guaranteed downlink speed at a busy hour to each user. Using the available technical assets, business requirements (installation metrics, guaranteed speed, sales rate, CPE categories) and the performance of each individual sector and customer (cell and user delivered throughputs, radio quality of existing customers, activity ratio of existing customers), the present invention enables accurate estimation of the remaining number of sellable customer premise equipment, and to identify capacity bottlenecks, forecast capacity expansions and plan marketing campaigns or promotions. In addition, the invention provides the ability to identify sectors with no spare capacity and provides inferences on the reasons for the no spare capacity state. The system as per the present invention comprises a computing unit having a comparison unit and a user interface for enabling the afore-mentioned method.

The present invention relates to a system and method for calculating spare capacity in a Fixed Wireless Access (FWA) communication network at sector and network level. The capacity is measured in terms of sellable customers, that is, the number of Customer Premises Equipment (CPEs) that can be connected to a sector in order to deliver a minimum guaranteed downlink speed at a busy hour to each user. Using the available technical assets, business requirements (installation metrics, guaranteed speed, sales rate, CPE categories) and the performance of each individual sector and customer (cell and user delivered throughputs, radio quality of existing customers, activity ratio of existing customers), the present invention enables accurate estimation of the remaining number of sellable customer premise equipment, and to identify capacity bottlenecks, forecast capacity expansions and plan marketing campaigns or promotions. In addition, the invention provides the ability to identify sectors with no spare capacity and provides inferences on the reasons for the no spare capacity state. The system as per the present invention comprises a computing unit having a comparison unit and a user interface for enabling the afore-mentioned method.

An object is to provide a server apparatus that can specify an access point to be monitored when a frequency channel used by the access point cannot be specified. In a first example aspect of the present disclosure, a server apparatus (10) includes a management unit (11) configured to manage a list showing a first access point that can no longer be monitored among a plurality of access points to be monitored, a communication unit (12) configured to transmit a collection condition indicating frequency channels available to the first access point to a sensor apparatus and receiving monitoring data generated by the sensor apparatus from packets collected according to the collection condition, and a monitoring unit (13) configured to resume monitoring of the first access point when the monitoring data includes information specifying the first access point.

A communication control device according to one embodiment of the present disclosure includes: a setting unit that sets a plurality of protection points in the protective space that protects a first radio system from a second radio system that performs shared use of the radio wave used by the first radio system; a determination unit that determines the target protection point to be the calculation target of the interference power received from the second radio system based on the plurality of protection points set by the setting unit; an interference power calculation unit that calculates the representative value of the interference power based on the interference power calculated for the target protection point determined by the determination unit; and an allowable power calculation unit that calculates the allowable power indicating the allowable interference power at the target protection point based on the representative value of the interference power calculated by the interference power calculation unit.

A radio signal strength information calculation method performed by a control apparatus includes: a generation step of calculating radio information regarding each of a plurality of meshes into which an area where base stations are placed is divided and generating mesh radio information; and a calculation step of placing a virtual base station at a position to where any of the base stations would be moved in the area, and calculating radio signal strength information between a plurality of base stations including the base stations and the virtual base station based on the mesh radio information.

A radio signal strength information calculation method performed by a control apparatus includes: a generation step of calculating radio information regarding each of a plurality of meshes into which an area where base stations are placed is divided and generating mesh radio information; and a calculation step of placing a virtual base station at a position to where any of the base stations would be moved in the area, and calculating radio signal strength information between a plurality of base stations including the base stations and the virtual base station based on the mesh radio information.

Embodiments of this application disclose a model configuration method and an apparatus. The method includes: sending, to a terminal that is in a first cell, first-part information of a first model used by the terminal to process data, and sending first indication information that indicates second-part information of the first model, where the second-part information is information to be sent to the terminal when the terminal is located in a second cell, and the first cell and the second cell are different cells. Solutions of embodiments of this application may be widely applied to the field of communication technologies, artificial intelligence, the internet of vehicles, the internet of smart home, or the like.

One or more computing devices, systems, and/or methods for simulating wireless networks using multilayer radio frequency resolution maps are provided. A set of resolution maps are selected from a plurality of resolution maps based upon the set of resolution maps corresponding to a speed of emulated user equipment traveling during a simulation of a wireless network or a radio frequency used by the emulated user equipment. A geographical location of the emulated user equipment in a geographical map is translated to a grid location in the set of resolution maps. The emulated user equipment is provided with a cell list at the grid location and signal strengths derived from the set of resolution maps at a given radio frequency and the speed. The emulated user equipment utilizes the cell list and the signal strengths to select and connect to a cell site within the cell list.

A control apparatus (40) is configured to acquire a required end-to-end performance required for an end-to-end path from a first end node to a second end node, and determine each required segment performance required for a respective one of the path segments based on the required end-to-end performance. The control apparatus (40) is further configured to communicate with a node included in each path segment or communicate with an entity controlling the path segment to enforce a corresponding one of the required segment performances in the path segment. The control apparatus (40) is further configured to update a required segment performance currently enforced in at least one path segment based on an achievement status of each of the required segment performances in the respective path segments. It is thus, for example, possible to contribute to guaranteeing the required end-to-end performance even when quality of each path segment changes.

A wireless base station setting position calculation method includes a step Si for assuming the setting area to be a rectangle, receiving an input of longitudinal and lateral lengths of a setting area and the number of wireless base stations to be set “s”, and determining one or more candidates of a number of divisions “d” of the setting area according to the number of wireless base stations “s”, a step S2 for representing the number of divisions “d” in a division ratio x:y and selecting, for each number of divisions “d”, according to the longitudinal and lateral lengths of the setting area, a division ratio at which diagonal line lengths of divided areas are minimized, a step S3 for performing, for each number of divisions “d”, adjustment of a division pattern until a difference m between the number of divisions “d” and the number of wireless base stations “s” decreases to 0, a step S4 for calculating, for each number of divisions “d”, a sum of the diagonal line lengths of the divided areas and selecting the division pattern with which the sum is minimized, and a step S5 for setting the wireless base stations in the centers of gravity of the divided areas in the division pattern selected in step S4.