| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_84377fc7d82fd7903aa9aa494bb22bef
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_62f941494409aea84f621977c5f0ab81 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W24-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W16-18 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W24-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W40-246
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W16-18
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W24-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W88-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W24-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W24-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W40-34 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W40-24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W40-34
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W16-18
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W24-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W24-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W24-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W88-10 |
| filingDate |
2018-04-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2021-02-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9995d83a2dc6b1c5490d85a7ec2ed619
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_154efb0da543a1912852cc553df2427a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0ae23389c9f527611cb565edf67de522
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c5dc1f78e7d49f4b3c073f58c509f49b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4ac8729cb92338c3e541d077adabe9d6 |
| publicationDate |
2021-02-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-10917801-B2 |
| titleOfInvention |
Predictive impact analysis for designing a resilient cellular backhaul network |
| abstract |
Various embodiments disclosed herein provide for a tower outage impact predictor that can determine the service impact on an end user during a cellular tower outage. Radio signal profiling divides an area into grids, and then constructs a radio signal profile for each grid based on user equipment (UE) measurement data for each grid. The number of UEs in each grid is then determined, and then the number of UEs that lose service for a simulated cellular tower outage is determined. Based on the impact analysis, a more resilient backhaul network can be implemented by determining backhaul rehoming changes that optimally home cellular towers to various backhaul network devices. |
| priorityDate |
2018-04-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |