Methods and systems for admission control and resource availability prediction considering user equipment (UE) mobility

摘要

Predicting mobile station migration between geographical locations of a wireless network can be achieved using a migration probability database. The database can be generated based on statistical information relating to the wireless network, such as historical migration patterns and associated mobility information (e.g., velocities, bin location, etc.). The migration probability database consolidates the statistical information into mobility prediction functions for estimating migration probabilities/trajectories based on dynamically reported mobility parameters. By example, mobility prediction functions can compute a likelihood that a mobile station will migrate between geographic regions based on a velocity of the mobile station. Accurate mobility prediction may improve resource provisioning efficiency during admission control and path selection, and can also be used to dynamically adjust handover margins.

主权项

1. A method for mobility prediction, the method comprising:
gathering statistical information for mobile station migration in a wireless network, the wireless network including at least a first geographic region and a second geographic region; building, by a device, a migration probability table for the wireless network in accordance with the statistical information, the migration probability table specifying probabilities that mobile stations will migrate from the first geographic region to the second geographic region over one or more fixed periods in accordance with mobility parameters of the mobile stations; obtaining mobility parameters corresponding to mobile stations accessing the wireless network during a first time interval; determining, in accordance with the migration probability table, probabilities that the mobile stations will access the wireless network from the second geographic region during a second time interval; estimating resource availability in the second geographic region during the second time interval in accordance with the determined probabilities; and provisioning resources in accordance with the estimated resource availability, wherein provisioning resources in accordance with the estimated resource availability comprises receiving a service request requesting establishment of a new service session in the second geographic region during the second time interval, determining an amount of required resources needed to establish the new service session during the second time interval in accordance with the migration probability table, and approving the service request when the estimated resource availability exceeds the amount of required resources by at least a threshold.