Abstract
With the development of the economy, the Internet has become an indispensable part of people's lives. At the same time, due to the development of Internet of Things, big data, cloud computing and other technologies, the requirements of Internet users for communication systems are also increasing. Network application scenarios such as in-vehicle networking, ultra-high-definition video transmission, and real-time data transmission are emerging one after another. The breakthrough development of 5G communication technology has opened a chapter in the 5G era and has become the key to solving cellular communication technology. However, in the architecture of advanced networks It is still a big problem to solve the problem of load balancing and realize the reasonable scheduling of network resources. At the same time, it has also become a hot spot of current research. In the research of this paper, for the resource allocation and scheduling problem under the new SDN architecture in the core network, based on the network balancing algorithm, an algorithm based on reinforcement learning is designed, and the controller is designed. The scheduling system promotes the refined management of staff and can adapt to changes in flexible and effective market strategies.
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