The invention discloses a mobile edge cache replacement method based on the request rate and the dynamism of information source published content. A roadside communication unit is used for modeling a cache replacement problem into a Markov decision process so as to obtain a cache replacement execution condition; dynamic content entry cache replacement is performed by adopting a deep reinforcement learning tool. According to the method, cache replacement is carried out in a mode of jointly considering the request rate and the dynamic property of the information source release content, so that the data volume directly served by the roadside communication unit cache is maximized, redundant data transmission is remarkably reduced, and the backhaul link pressure is relieved. Redundant data transmission is remarkably reduced while the timeliness of the request content received by the user is ensured, the backhaul link pressure is relieved, and the average service delay is reduced.
Request rate and dynamic mobile edge cache replacement method adopting information source to publish content