Systems and methods for predictive user location and content replication

A non-transitory computer-readable medium, storing a set of processor-executable instructions, which, when executed by one or more processors, cause the one or more processors to:

• monitor movements of a particular user equipment (“UE”) across a wireless data network;
• compute, based on the monitored movements, a probability of the particular UE being moved, at a future time, from a first area, within a geographical region associated with the wireless data network, to a second area within the geographical region associated with the wireless data network, the second area being geographically distinct from the first area;
• monitor performance characteristics of a plurality of Multi-access Edge Computing (“MEC”) devices that are geographically distributed within the geographical region associated with the wireless data network and that provide services to UEs located in the second area, wherein monitoring the performance characteristics includes:
• determining a first set of performance characteristics associated with services provided by a first MEC device, of the plurality of MEC devices, to UEs located within the second area, and
• determining a second set of performance characteristics associated with services provided by a second MEC device, of the plurality of MEC devices, to UEs located within the second area;
• select, based on the computed probability, and further based on the monitored performance characteristics, a particular MEC device, out of the plurality of MEC devices;
• determine content that the particular UE is likely to request at the future time;
• and
• output a prefetch request, identifying the determined content, to the selected first MEC device, wherein the selected first MEC device obtains and caches the identified content based on receiving the prefetch request, wherein the first MEC device further intercepts a request for the identified content from the UE and provides the identified content to the UE based on the request.

A method comprising:

• monitoring movements of a particular user equipment (“UE”) across a wireless data network;
• computing, based on the monitored movements, a probability of the particular UE being moved, at a future time, from a first area, within a geographical region associated with the wireless data network, to a second area within the geographical region associated with the wireless data network, the second area being geographically distinct from the first area;
• monitoring performance characteristics of a plurality of Multi-access Edge Computing (“MEC”) devices that are geographically distributed within the geographical region associated with the wireless data network and that provide services to UEs located in the second area, wherein monitoring the performance characteristics includes:
• determining a first set of performance characteristics associated with services provided by a first MEC device, of the plurality of MEC devices, to UEs located within the second area, and
• determining a second set of performance characteristics associated with services provided by a second MEC device, of the plurality of MEC devices, to UEs located within the second area;
• selecting, based on the computed probability, and further based on the monitored performance characteristics, a particular MEC device, out of the plurality of MEC devices;
• determining content that the particular UE is likely to request at the future time;
• and
• outputting a prefetch request, identifying the determined content, to the selected first MEC device, wherein the selected first MEC device obtains and caches the identified content based on receiving the prefetch request, wherein the first MEC device further intercepts a request for the identified content from the UE and provides the identified content to the UE based on the request.