Multi-interface adaptive data unloading method based on reinforcement learning in MEC environment
A reinforcement learning and multi-interface technology, applied in the field of multi-interface adaptive data offloading, can solve problems such as high unloading failure rate, workflow time delay, energy consumption, and poor real-time performance, so as to alleviate the pressure and improve the utilization rate of network resources , the effect of alleviating network congestion
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[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0044] Such as figure 1 As shown, the embodiment of the present invention discloses a multi-interface adaptive data unloading method based on reinforcement learning in an MEC environment, including the following steps:
[0045] S1: Model the environment composed of multiple user equipment, edge base stations, and server data transmission strategies as a finite-state Markov decision model;
[0046] S2: Determine the current system state according to the optimi...
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