The invention discloses an anti-interference unmanned aerial vehicle cellular edge removal computing
resource allocation method in an air-space-ground integrated network, which comprises the following steps of: firstly, constructing an air-space-ground integrated
network architecture comprising a low-
orbit satellite, an unmanned aerial vehicle cluster and a ground user, and establishing
satellite interference space distribution mapping based on a
satellite orbit and an interference measurement result; and then adopting a user-centered
dynamic clustering strategy, combining with a large-scale
fading coefficient and interference intensity, adaptively selecting a cooperation cluster scale and member composition, and forming an unmanned aerial vehicle cooperation cluster. Then establishing an uplink communication model of an explicitly introduced satellite direct-connected user co-frequency interference term, and on the basis, constructing a three-section end-to-end time
delay model comprising
wireless transmission time delay,
parallel computing time
delay and
forward pass and backhaul time delay related to a cooperative cluster scale and a quantization bit number; according to the method, the cooperative cluster scale and the quantization bit number are used as time delay optimization variables together, controllable optimization of end-to-end time delay is achieved, the propulsion
energy consumption of the unmanned aerial vehicle is considered, and therefore the unloading efficiency and the overall energy efficiency of the cellular edge removal computing
system are improved.