Abstract: An apparatus comprises: a memory; and a processor coupled to the memory and configured to: build a prediction model that predicts next cells of UEs in a future time step of a mobile network; map the next cells to future user locations; determine future loads of BSs in the mobile network based on the future user locations; determine an optimization of the mobile network using the future loads; and implement the optimization by instructing the BSs to adjust a parameter in the future time step.

Abstract: A method comprises operating in an idle user state; determining to exit the idle user state and enter an active user state; obtaining cell loads of cells; calculating association functions based on the cell loads; determining, from among the association functions, a first association function with a maximum value; selecting a first cell associated with the first association function as a target cell; and entering the active user state by connecting to the first cell.

Abstract: A system and a method for interpreting normal and errored segments of network measurement data differently, and processing network measurement data, including: receiving a first query for network measurement data; extracting compressed network measurement data and error metadata from a repository database based upon the first query; decompressing the extracted compressed network measurement data; retrieving an error segment of raw network measurement data based upon the error metadata; and merging the error segment of raw network measurement data with the decompressed extracted compressed network measurement data to produce extracted network measurement data.

Abstract: A method comprises operating in an idle user state; determining to exit the idle user state and enter an active user state; obtaining cell loads of cells; calculating association functions based on the cell loads; determining, from among the association functions, a first association function with a maximum value; selecting a first cell associated with the first association function as a target cell; and entering the active user state by connecting to the first cell.

Abstract: A system and a method for interpreting normal and errored segments of network measurement data differently, and processing network measurement data, including: receiving a first query for network measurement data; extracting compressed network measurement data and error metadata from a repository database based upon the first query; decompressing the extracted compressed network measurement data; retrieving an error segment of raw network measurement data based upon the error metadata; and merging the error segment of raw network measurement data with the decompressed extracted compressed network measurement data to produce extracted network measurement data.