Apparatuses and methods for enhancing hub location estimations using cloud sourced data
Aspects of the subject disclosure may include, for example, obtaining a dataset, the dataset including first data pertaining to geographical information associated with a plurality of entities, separating the dataset into a plurality of subsets, wherein each subset of the plurality of subsets corresponds to at least one attribute of a plurality of different attributes, ordering the plurality of subsets in accordance with respective parameter values associated with each of the subsets, wherein each of the respective parameter values corresponds to a supported distance relative to a hub, and based on the ordering, generating an estimate of a location of the hub. Other embodiments are disclosed.
1. A device, comprising:
a processing system including a processor; and
a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
obtaining at least one dataset, the at least one dataset including first data pertaining to geographical information of a plurality of entities;
separating the at least one dataset into a plurality of subsets, wherein each subset of the plurality of subsets corresponds to at least one attribute of a plurality of different attributes, and wherein a first subset of the plurality of subsets corresponds to at least two attributes of the plurality of different attributes;
ordering the plurality of subsets in accordance with respective parameter values associated with each of the subsets, wherein each of the respective parameter values corresponds to a supported distance relative to a hub, wherein a first attribute of the at least two attributes has an associated first parameter value of the respective parameter values corresponding to a first maximum supported distance relative to the hub, and wherein a second attribute of the at least two attributes has an associated second parameter value of the respective parameter values corresponding to a second maximum supported distance relative to the hub;
determining that the second maximum supported distance is greater than the first maximum supported distance;
based on the determining, selecting the second parameter value for use with the first subset as part of the ordering; and
based on the ordering, estimating a location of the hub.
2. The device of claim 1 , wherein the hub corresponds to first network infrastructure.
3. The device of claim 2 , wherein the first network infrastructure comprises: a cellular tower, a base station, a switch, a router, a gateway, a server, or any combination thereof.
4. The device of claim 1 , wherein the plurality of entities comprises a mobile device, a connected vehicle, or a combination thereof.
5. The device of claim 1 , wherein the hub corresponds to a base of operations for units of personnel included in the plurality of entities.
6. The device of claim 5 , wherein the base of operations comprises a military base, and wherein the units of personnel comprise a special forces unit and a regular unit.
7. The device of claim 1 , wherein the hub corresponds to a customer service center for supporting communication services.
8. The device of claim 7 , wherein the plurality of entities comprises a plurality of residences supported by the customer service center.
9. The device of claim 8 , wherein the supported distance is expressed as a function of a maximum round-trip delay tolerated by the communication services.
10. The device of claim 1 , wherein each attribute of the plurality of different attributes corresponds to a type of a plurality of types of radio access network (RAN) technologies.
11. The device of claim 10 , wherein the plurality of types comprises: 5G millimeter Wave, 5G Sub6, and LTE.
12. The device of claim 1 , wherein the estimating of the location of the hub comprises applying a filtering or averaging technique to a plurality of estimates of the location of the hub to generate an overall estimate for the location of the hub.
13. A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:
obtaining a dataset, the dataset including first data pertaining to geographical information associated with a plurality of entities;
separating the dataset into a plurality of subsets, wherein each subset of the plurality of subsets corresponds to at least one attribute of a plurality of different attributes, and wherein a first subset of the plurality of subsets corresponds to at least two attributes of the plurality of different attributes;
ordering the plurality of subsets in accordance with respective parameter values associated with each of the subsets, wherein each of the respective parameter values corresponds to a supported distance relative to a hub, wherein a first attribute of the at least two attributes has an associated first parameter value of the respective parameter values corresponding to a first maximum supported distance relative to the hub, and wherein a second attribute of the at least two attributes has an associated second parameter value of the respective parameter values corresponding to a second maximum supported distance relative to the hub;
determining that the second maximum supported distance is greater than the first maximum supported distance;
based on the determining, selecting the second parameter value for use with the first subset as part of the ordering; and
based on the ordering, generating an estimate of a location of the hub.
14. The non-transitory machine-readable medium of claim 13 , wherein the generating is based on an iterative determination of the location of the hub in accordance with each subset of the plurality of subsets.
15. The non-transitory machine-readable medium of claim 14 , wherein the iterative determination comprises a removal of data from the subsets that are associated with a range that exceeds the supported distance for the subset.
16. A method, comprising:
parsing, by a processing system including a processor, a dataset to obtain a plurality of subsets, wherein each subset of the plurality of subsets corresponds to at least one attribute of a plurality of different attributes, and wherein a first subset of the plurality of subsets corresponds to at least two attributes of the plurality of different attributes;
ordering, by the processing system, the plurality of subsets in accordance with respective parameter values associated with each of the subsets, wherein each of the respective parameter values corresponds to a supported distance relative to a hub, wherein a first attribute of the at least two attributes has an associated first parameter value of the respective parameter values corresponding to a first maximum supported distance relative to the hub, and wherein a second attribute of the at least two attributes has an associated second parameter value of the respective parameter values corresponding to a second maximum supported distance relative to the hub;
determining, by the processing system, that the second maximum supported distance is greater than the first maximum supported distance;
based on the determining, selecting, by the processing system, the second parameter value for use with the first subset as part of the ordering; and
based on the ordering, generating, by the processing system, a respective estimate of a location of the hub for each subset of the plurality of subsets, resulting in a plurality of estimates.
17. The method of claim 16 , further comprising:
filtering, by the processing system, the plurality of estimates to generate an overall estimate of the location of the hub.
18. The method of claim 16 , further comprising:
determining, by the processing system, an actual location of the hub.
19. The method of claim 18 , further comprising:
generating, by the processing system, a respective value of error for each of the plurality of estimates relative to the actual location of the hub.
20. The method of claim 16 , wherein the dataset is a cloud sourced dataset.