The disclosed embodiments include a method for forecasting a coverage area of a candidate site in an anchor network. The method can include obtaining cell site information of anchor networks and of the candidate site (e.g., a donor site of a donor network), simulating a spatial layout of the anchor sites in a virtual network, and estimating a coverage area of the candidate site in the virtual network. The estimated coverage area of the candidate site forms a polygon-shaped coverage area in the spatial layout of the virtual network. The method can further include modifying the polygon-shaped coverage area of the candidate site relative to an intersection with a coverage area of a neighboring site, pruning the modified coverage area of any portion that exceeds a predefined coverage radius, and causing an output including the pruned coverage area of the candidate site as an indication of the forecast coverage area.

A method for operating a base station is provided. The method includes in response to a triggering event, fetching information on a base station (BS) configuration parameters comprising a location, a height, an antenna pattern, and topographical details surrounding the BS; determining the BS configuration parameters that are error prone and require re-estimation; obtain measurement reports created by at least one user equipment (UE); determining an audit method to perform an audit correction, the audit correction based on the one or more of the BS configuration parameters to re-estimate, available BS information and the measurement reports; performing the audit correction, to obtain a result based on a computed score for each candidate value of the BS configuration parameters; generating, based on the result, one or more corrective actions; and adjusting at least one of the BS configuration parameters based on the one or more corrective actions.

A method for operating a base station is provided. The method includes in response to a triggering event, fetching information on a base station (BS) configuration parameters comprising a location, a height, an antenna pattern, and topographical details surrounding the BS; determining the BS configuration parameters that are error prone and require re-estimation; obtain measurement reports created by at least one user equipment (UE); determining an audit method to perform an audit correction, the audit correction based on the one or more of the BS configuration parameters to re-estimate, available BS information and the measurement reports; performing the audit correction, to obtain a result based on a computed score for each candidate value of the BS configuration parameters; generating, based on the result, one or more corrective actions; and adjusting at least one of the BS configuration parameters based on the one or more corrective actions.

When data transmitted from devices is processed by servers in a shared manner, the data is processed in a constantly stable manner when the devices move. Based on information indicating installation positions and processing capabilities of the servers, information on installation positions of base stations, and acquired location information of the devices, the coverage area control apparatus performs, at a certain time interval, a clustering calculation for obtaining an optimum coverage area for the servers that satisfies the requirements that the communication distances between the servers and the respective devices be minimized and the servers not be overloaded. Based on the information indicating the optimum coverage area obtained by the clustering calculation, assignments of the base stations to the servers are updated.

When data transmitted from devices is processed by servers in a shared manner, the data is processed in a constantly stable manner when the devices move. Based on information indicating installation positions and processing capabilities of the servers, information on installation positions of base stations, and acquired location information of the devices, the coverage area control apparatus performs, at a certain time interval, a clustering calculation for obtaining an optimum coverage area for the servers that satisfies the requirements that the communication distances between the servers and the respective devices be minimized and the servers not be overloaded. Based on the information indicating the optimum coverage area obtained by the clustering calculation, assignments of the base stations to the servers are updated.

The embodiments herein relate to a method performed by a cloud node. The cloud node obtains measurements from at least some of the sensor nodes. The cloud node mathematically determines a minimum number of sensor nodes and their optimal locations. Based on the obtained measurements and the mathematically determined optimal locations, the cloud node graphically determines an optimal location for each of the minimum number of sensor nodes. The cloud node compares the mathematically and the graphically determined optimal locations. When the comparison indicates that the mathematically and graphically determined optimal locations are the same, the cloud node determines a minimum number of fog nodes. Based on the optimal location of sensor nodes, the cloud node determines an optimal location for each of the minimum number of fog nodes.

The embodiments herein relate to a method performed by a cloud node. The cloud node obtains measurements from at least some of the sensor nodes. The cloud node mathematically determines a minimum number of sensor nodes and their optimal locations. Based on the obtained measurements and the mathematically determined optimal locations, the cloud node graphically determines an optimal location for each of the minimum number of sensor nodes. The cloud node compares the mathematically and the graphically determined optimal locations. When the comparison indicates that the mathematically and graphically determined optimal locations are the same, the cloud node determines a minimum number of fog nodes. Based on the optimal location of sensor nodes, the cloud node determines an optimal location for each of the minimum number of fog nodes.

Optimizing a performance of a software function withing a content distribution 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 within the content distribution network for the software function 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.

Optimizing a performance of a software function withing a content distribution 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 within the content distribution network for the software function 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.

An enhanced L-band Digital Aeronautical Communications System (LDACS) may include LDACS ground stations, and LDACS airborne stations configured to communicate with the LDACS ground stations. The enhanced LDACS may also include a network controller configured to operate a given LDACS ground station and LDACS airborne station to use a primary LDACS channel and at least one supplemental LDACS channel defining an aggregated bandwidth channel, with the primary LDACS channel changing at handover from one LDACS ground station to another LDACS ground station.