The invention relates to a 5G
mobile edge computing-based task unloading and
resource allocation joint optimization method, and belongs to the technical field of mobile communication. According to themethod, a task unloading decision,
resource block distribution and computing
resource distribution are jointly modeled into a minimum
system overhead problem, and the minimum
system overhead problemis decomposed into three sub-optimization problems to be solved. The method comprises the following steps of firstly, considering that UE
delay sensitivity in an actual network is different, proposinga distributed
resource block distribution
algorithm based on the UE
delay priority, dividing the UE into UE blocks with different priorities according to the UE
delay sensitivity, preferentially allocating the resource blocks for the UE with high priorities, and meanwhile, ensuring the
communication quality of the UE with low priority; secondly, enabling each piece of UE to make an unloading decision according to the task local computing overhead and the task unloading computing overhead; and finally, with the goal of minimizing the total
execution time of the total unloading task in the MECas a target, allocating the computing resources to the UE.