CPC H04W 4/06 (2013.01) [H04W 4/40 (2018.02); H04W 28/0236 (2013.01); H04W 28/065 (2013.01)] | 20 Claims |
1. A method comprising:
identifying a plurality of broadcast sets of access points from among a plurality of access points based on predicted radio frequency (RF) signal interference data associated with the plurality of access points disposed in an environment, wherein the predicted RF signal interference data includes one or more historical entries that identify a prior RF signal interference proximate an access point of the plurality of access points, and wherein the one or more historical entries are generated via performance of a machine-learning routine, a deep neural network routine, a convolutional neural network routine, or a combination thereof;
selecting a broadcast set of access points from among the plurality of broadcast sets of access points based on characteristic data associated with the plurality of broadcast sets of access points, wherein the characteristic data indicates a transmission performance rate of each access point from among the plurality of broadcast sets of access points and priority rules associated with the broadcast sets of access points;
partitioning a data packet into a plurality of data subpackets based on the broadcast set of access points; and
broadcasting the plurality of data subpackets to a vehicle via the broadcast set of access points.
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