A method is provided that includes obtaining one or more pieces of crowd-sourced information. A respective crowd-sourced information is at least indicative of a location at which the respective crowd-sourced information was gathered. The method determines a set of tiles at least partially based on the one or more geographical areas. For at least one tile, the method obtains one or more pieces of fingerprint information comprised by the one or more pieces of crowd-sourced information that were gathered within the respective area of the respective tile and determines an area type and/or context information indicative of a type of venue located within the respective tile and/or context the respective area of the respective tile is used for. The area type and/or context information is determined at least partially based on the one or more pieces of fingerprint information. A corresponding apparatus and computer program product are also provided.

Intelligent, automated, fixed wireless internet planning (e.g., using a computerized tool) is enabled. For instance, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining, for a user equipment determined to be within a defined coverage area, a signal to interference and noise ratio, based on the signal to interference and noise ratio, determining a spectral efficiency value corresponding to the user equipment, based on the spectral efficiency value and a total available bandwidth of a network via which the defined coverage area is enabled, determining an available throughput corresponding to the user equipment, and in response to a determination that the available throughput exceeds a threshold throughput, designating the user equipment, in a data store, as being covered within the defined coverage area by the total available bandwidth of the network.

Intelligent, automated, fixed wireless internet planning (e.g., using a computerized tool) is enabled. For instance, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining, for a user equipment determined to be within a defined coverage area, a signal to interference and noise ratio, based on the signal to interference and noise ratio, determining a spectral efficiency value corresponding to the user equipment, based on the spectral efficiency value and a total available bandwidth of a network via which the defined coverage area is enabled, determining an available throughput corresponding to the user equipment, and in response to a determination that the available throughput exceeds a threshold throughput, designating the user equipment, in a data store, as being covered within the defined coverage area by the total available bandwidth of the network.

This application discloses a method. The method includes: A terminal device obtains one or more measurement results respectively corresponding to one or more reference signals, and determines a CEL of the terminal device based on the one or more measurement results and at least one of N thresholds, where the N thresholds are a threshold 0, a threshold 1, . . . , and a threshold (N−1) in descending order. If there is a measurement result greater than or equal to the threshold 0 in the one or more measurement results, the CEL of the terminal device is a CEL 0. If the one or more measurement results are less than a threshold i, and there is a measurement result greater than or equal to a threshold (i+1), the CEL of the terminal device is a CEL (i+1), and a value of i is an integer from 0 to (N−2).

Aspects of the subject disclosure may include, for example, transmitting a first identifier associated with a processing system to a communication device, transmitting first data to the communication device, obtaining, from the communication device and based on the transmitting of the first identifier and the first data, a first directive, wherein the first directive directs the processing system to utilize a first radio access technology for a first communication session, and utilizing, based on the first directive, the first radio access technology for the first communication session. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, transmitting a first identifier associated with a processing system to a communication device, transmitting first data to the communication device, obtaining, from the communication device and based on the transmitting of the first identifier and the first data, a first directive, wherein the first directive directs the processing system to utilize a first radio access technology for a first communication session, and utilizing, based on the first directive, the first radio access technology for the first communication session. Other embodiments are disclosed.

Facilitating assignment of physical cell identifier under technological and operational constraints provided herein. Operations of a system include identifying a first group of network equipment that includes a first relationship status and a second group of network equipment that includes a second relationship status different than the first relationship status. The operations also can include determining a first assignment of first identifiers of a group of identifiers for the first group of network equipment based on a first application of first assignment conflicts. Further, the operations can include determining a second assignment of second identifiers of the group of identifiers for the second group of network equipment based on a second application of second assignment conflicts. In an example, determining of the first assignment of first identifiers includes resolving module-k conflicts among the first group of network equipment.

Facilitating assignment of physical cell identifier under technological and operational constraints provided herein. Operations of a system include identifying a first group of network equipment that includes a first relationship status and a second group of network equipment that includes a second relationship status different than the first relationship status. The operations also can include determining a first assignment of first identifiers of a group of identifiers for the first group of network equipment based on a first application of first assignment conflicts. Further, the operations can include determining a second assignment of second identifiers of the group of identifiers for the second group of network equipment based on a second application of second assignment conflicts. In an example, determining of the first assignment of first identifiers includes resolving module-k conflicts among the first group of network equipment.

A set of AP radios to which configurations are to be deployed is identified. A candidate deployment order for deploying configurations to the set of AP radios is determined by an order-deploy algorithm. The algorithm seeks to spread out configuration deployments to AP radios both spatially and temporally such that APs that are located close to one another in the network receive their configuration updates as part of different deployment batches with delay periods introduced between consecutive batch deployments. The algorithm orders the set of APs by iterating through a network factor hierarchy to place APs that share certain network factors such as the same band or channel close to one another in the candidate deployment order and place APs that share certain other network factors (e.g., same switch, RF domain, and/or RF partition) far from one another in the order.

A set of AP radios to which configurations are to be deployed is identified. A candidate deployment order for deploying configurations to the set of AP radios is determined by an order-deploy algorithm. The algorithm seeks to spread out configuration deployments to AP radios both spatially and temporally such that APs that are located close to one another in the network receive their configuration updates as part of different deployment batches with delay periods introduced between consecutive batch deployments. The algorithm orders the set of APs by iterating through a network factor hierarchy to place APs that share certain network factors such as the same band or channel close to one another in the candidate deployment order and place APs that share certain other network factors (e.g., same switch, RF domain, and/or RF partition) far from one another in the order.