Enhanced data analytics for actionable improvements based on data collected in wireless and streaming data networks

Abstract

A method for wireless communication, including: analyze handover events, during a period of time, associated with one or more mobile devices in an area having mobile device coverage provided by a plurality of cells, the one or more mobile devices in wireless communication with one or more cells of the plurality of cells determining mobile device coverage pattern information including one or both of: a pattern of traffic in the area, and a pattern of network load for the area, wherein the mobile device coverage pattern information is determined based at least in part on one or more items of contextual information; and determine one or more locations, in the area, associated with a drop rate higher than a threshold drop rate based at least in part on the determined pattern information.

1 . (canceled) 
     
     
         2 . A system comprising:
 a processor; and   a memory for tangibly storing thereon computer-readable instructions configured to be executed by the processor, the computer-readable instructions configured to:
 determine mobile device information describing one or more mobile devices in an area,
 wherein the mobile device information includes one or more of model, make, or software version of the one or more mobile devices; 
 
 determine patterns in drop rates of the one or more mobile devices to identify patterns based on the mobile device information; and 
 analyze whether an equipment update is beneficial to reduce drop rates. 
   
     
     
         3 . The system of  claim 2 , wherein the computer-readable instructions are further configured to:
 determine mobile device coverage pattern information including one or both of:
 a pattern of traffic in the area, and a pattern of network load for the area, wherein the mobile device coverage pattern information is determined based at least in part on one or more items of contextual information; 
   determine one or more locations, in the area, associated with a drop rate higher than a threshold drop rate based at least in part on the mobile device coverage pattern information;   analyze a cost related to increasing a number of cells based on the one or more locations;   analyze a revenue returned by an increased number cells based on the one or more locations; and   compare the cost relative to the revenue to determine whether additional cells generate a profit.   
     
     
         4 . The system of  claim 3 , wherein the number of cells is increased periodically to determine one or more locations at which a best return of an investment in the additional cells is to be expected. 
     
     
         5 . The system of  claim 3 , wherein the computer-readable instructions are further configured to determine, based on the cost and the revenue, one or more locations at which an increase in the number of cells results in a best return based on an investment of the cost. 
     
     
         6 . The system of  claim 3 , wherein the one or more items of contextual information include time based information. 
     
     
         7 . The system of  claim 3 , wherein to analyze the cost further comprises to analyze a cost associated with installing one or more third party multi-carrier antennas in the area, and to analyze the revenue further comprises to analyze a revenue based on the installing of the one or more third party multi-carrier antennas, wherein the installing of the one or more third party multi-carrier antennas is dynamically configured by a third party operator. 
     
     
         8 . The system of  claim 7 , wherein one or more of: an installation rate, an installation location, an installation timing, a type of a to-be-installed antenna, associated with the installing of the one or more third party multi-carrier antennas is dynamically configured to optimize a revenue for the third party operator. 
     
     
         9 . The system of  claim 3 , wherein the computer-readable instructions are further configured to:
 analyze a backhaul capacity associated with the one or more locations;   obtain network topological information pertaining to the area; and   dynamically determine one or more bypasses for one or more locations that are bottlenecked based on one or both of the backhaul capacity and the network topological information.   
     
     
         10 . The system of  claim 9 , wherein the network topological information includes information of a topological map mesh network. 
     
     
         11 . The system of  claim 10 , wherein the computer-readable instructions are further configured to:
 collect data from one or more reverse logistics mobile device processing systems; and   map the data to problems found in network locations to determine correlations based on causalities.   
     
     
         12 . The system of  claim 2 , wherein the computer-readable instructions are further configured to analyze how many cells are needed to meet a service level agreement based on an analysis of network loads; wherein the service level agreement relates to a 5G system; and wherein cells provisioned by the 5G system to service the area are smaller compared to other cellular systems. 
     
     
         13 . A method comprising:
 determining mobile device information describing one or more mobile devices in an area,
 wherein the mobile device information includes one or more of model, make, or software version of the one or more mobile devices; 
   determining patterns in drop rates of the one or more mobile devices to identify patterns based on the mobile device information; and   analyzing whether an equipment update is beneficial to reduce drop rates.   
     
     
         14 . The method of  claim 13 , further comprising:
 determining mobile device coverage pattern information including one or both of:
 a pattern of traffic in the area, and a pattern of network load for the area, wherein the mobile device coverage pattern information is determined based at least in part on one or more items of contextual information; 
   determining one or more locations, in the area, associated with a drop rate higher than a threshold drop rate based at least in part on the mobile device coverage pattern information;   analyzing a cost related to increasing a number of cells based on the one or more locations;   analyzing a revenue returned by an increased number cells based on the one or more locations; and   compare the cost relative to the revenue to determine whether additional cells generate a profit.   
     
     
         15 . The method of  claim 14 , wherein the number of cells is increased periodically to determine one or more locations at which a best return of an investment in the additional cells is to be expected. 
     
     
         16 . The method of  claim 14 , further comprising:
 analyzing a backhaul capacity associated with the one or more locations;   obtaining network topological information pertaining to the area; and   dynamically determining one or more bypasses for one or more locations that are bottlenecked based on one or both of the backhaul capacity and the network topological information.   
     
     
         17 . The method of  claim 14 , wherein the one or more items of contextual information include time based information. 
     
     
         18 . The method of  claim 13 , further comprising:
 collecting data from one or more reverse logistics mobile device processing systems; and   mapping the data to problems found in network locations to determine correlations based on causalities.   
     
     
         19 . A non-transitory computer readable storage medium, the computer readable storage medium comprising one or more computer-readable instructions configured to cause one or more computer processors to execute operations comprising:
 determining mobile device information describing one or more mobile devices in an area,
 wherein the mobile device information includes one or more of model, make, or software version of the one or more mobile devices; 
   determining patterns in drop rates of the one or more mobile devices to identify patterns based on the mobile device information; and   analyzing whether an equipment update is beneficial to reduce drop rates.   
     
     
         20 . The non-transitory computer readable storage medium of  claim 19 , wherein the one or more computer-readable instructions configured to cause one or more computer processors to execute operations further comprising:
 determining mobile device coverage pattern information including one or both of:
 a pattern of traffic in the area, and a pattern of network load for the area, wherein the mobile device coverage pattern information is determined based at least in part on one or more items of contextual information; 
   determining one or more locations, in the area, associated with a drop rate higher than a threshold drop rate based at least in part on the mobile device coverage pattern information;   analyzing a cost related to increasing a number of cells based on the one or more locations;   analyzing a revenue returned by an increased number cells based on the one or more locations; and   compare the cost relative to the revenue to determine whether additional cells generate a profit.   
     
     
         21 . The non-transitory computer readable storage medium of  claim 20 , wherein the number of cells is increased periodically to determine one or more locations at which a best return of an investment in the additional cells is to be expected.