Abstract:
The described technology is generally directed towards methods for data latency evaluation. The techniques disclosed herein can provide useful information about when a data consumer can expect to receive data. Methods can create and compare data latency cumulative probability distributions comprising probabilities associated with different latency values, at various different levels of completeness.
Abstract:
The described technology is generally directed towards methods for data latency evaluation. The techniques disclosed herein can provide useful information about when a data consumer can expect to receive data. Methods can create and compare data latency cumulative probability distributions comprising probabilities associated with different latency values, at various different levels of completeness.
Abstract:
A method, computer-readable storage device and an apparatus for planning tracking areas in a wireless network are disclosed. For example, the method represents geographical neighbor relations between each pair of base stations in a first set, and represents in a third set a plurality of potential assignment options for each base station of the first set to tracking areas in a second set, represents the historical data on paging traffic among the base stations in the first set via a first parameter, and represents the historical data on tracking area update traffic among the tracking areas of the second set via a second parameter, and determines for each base station in the first set, the optimal assignment of a tracking area in the second set.
Abstract:
The described technology is generally directed towards methods for data latency evaluation. The techniques disclosed herein can provide useful information about when a data consumer can expect to receive data. Methods can create and compare data latency cumulative probability distributions comprising probabilities associated with different latency values, at various different levels of completeness.
Abstract:
A method, computer-readable storage device and an apparatus for planning tracking areas in a wireless network are disclosed. For example, the method represents geographical neighbor relations between each pair of base stations in a first set, and represents in a third set a plurality of potential assignment options for each base station of the first set to tracking areas in a second set, represents the historical data on paging traffic among the base stations in the first set via a first parameter, and represents the historical data on tracking area update traffic among the tracking areas of the second set via a second parameter, and determines for each base station in the first set, the optimal assignment of a tracking area in the second set.