The invention discloses a distributed cooperative
interference management method for a multi-task air
federated learning system, and the method comprises the steps: firstly, obtaining channel information between each
base station and associated edge equipment, and an interference temperature value between the base stations, so as to construct a communication parameter optimization model; secondly, calculating the optimal transmission power and the optimal
noise reduction factor through interference temperature negotiation between paired base stations by adopting a distributed coordination mechanism; then, all
base station pairs are traversed circularly, and collaborative optimization of power and
noise reduction factors of the whole network is completed; and finally, the edge equipment executes air aggregation transmission of gradient signals based on the optimal transmission power, and the target
base station completes
signal processing and updates the
cell model according to the optimal
noise reduction factor of the target base
station. According to the distributed cooperative
interference management method, the cross-
cell performance balance of a multi-task
system can be remarkably improved, the communication and calculation burden can be effectively reduced, the network expansibility and stability are improved, and the distributed cooperative
interference management method is more suitable for multi-task air
federated learning in a large-scale network environment.