Dish Wireless L.l.c.

Mikhail L Arbuzov

Kalleri Faizel Rehiman

Yongjoon Oh

Madhukar Pulluru

Qi Chu

Sisong Bei

Christine Chu

The system obtains a first low-level information representing a first multiplicity of activities. The first low-level information includes a first log including a first multiplicity of entries representing the first activity. An entry among the first multiplicity of entries can represent various activities. The system obtains a second low-level information representing a second multiplicity of activities. The second low-level information includes a second log comprising a second multiplicity of entries. The system obtains a correspondence between the second multiplicity of activities and the second low-level information. The correspondence maps a second activity among the second multiplicity of activities to a subset of entries in the second log. The system determines that the subset of entries in the second log and a subset of entries in the first log are similar and the subset of entries in the first log indicates the second activity.

Determining an activity associated with a mobile device based on a low-level information representing the activity

The system obtains data associated with UE, representing interaction between the UE and a network. The data includes: previous bandwidth usage associated with the UE, previous CDR associated with the UE, anticipated geolocation of the UE, a plan associated with the UE, one or more media events, a number of lines associated with the UE, a length of time the UE has been associated with the network, and a unique identifier associated with the UE. The system obtains multiple plans associated with the network, where a plan indicates the bandwidth usage associated with the UE within a predetermined period. Based on the data, the system predicts the bandwidth usage associated with the UE within the predetermined period to obtain a predicted bandwidth usage and determines the plan among the multiple plans accommodating the predicted bandwidth usage. The system requests the bandwidth usage associated with the plan from the network.

Predicting a bandwidth usage associated with a mobile device operating on a wireless telecommunication network

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Santa Clara, CA, United States of America

Mikhail L Arbuzov