Abstract
As one of key technologies of the fifth-generation (5G) communication system, network slicing can share the underlying infrastructure with different application requirements and ensure that the slices can be isolated from each other. This paper proposes an end-to-end (E2E) network slicing resource allocation algorithm based on Deep Q-Networks (DQN), which is suitable for multi-slice and multi-service scenarios. This algorithm jointly considers the radio access network slices and core network slices to dynamically allocate resources to maximize the number of access users. First we build such a model, which is a mixed integer programming problem and it needs to be dynamically adjusted according to the changes of environment. We propose to use DQN algorithm to solve this problem, which can perceive changes in the environment and make dynamic decisions. Under each decision, we need to calculate the reward value of DQN, so we divide the problem into the core side and the access side. Then the dynamic knapsack algorithm and the link mapping algorithm are used to obtain the reward. The simulation results show that the average access rate of DQN scheme is higher than 97%. Compared with the optimal allocation scheme of access side, the average access rate is increased by 9% for delay constrained slices and 5% for rate constrained slices in a dynamic environment.
Highlights
The fifth-generation (5G) network will support a large number of diversified business scenarios from vertical industries, such as intelligent security, high-definition video, telemedicine, smart home, autopilot and augmented reality, which usually have different communication requirements
This paper proposes a Deep Q-Networks (DQN) algorithm which enables dynamic and real-time update of wireless resource allocation and mapping of service links based on feedback from the environment
We can find that the average access rate of DQN scheme is higher than 97% for all slices
Summary
The fifth-generation (5G) network will support a large number of diversified business scenarios from vertical industries, such as intelligent security, high-definition video, telemedicine, smart home, autopilot and augmented reality, which usually have different communication requirements. Operators can divide physical network infrastructure into multiple virtual networks according to the needs of different users to meet the diversified business needs of 5G. Each network slice is a logically independent E2E network, which consists of a set of Network Functions (NF) and corresponding resources to provide E2E on-demand services for specific business scenarios [2]. In this paper, we propose an E2E network slicing framework for 5G resource allocation This framework consist of access network and core network. The infrastructure provider dynamically allocate wireless resources to slices and BSs. In the core network, VNFs of SFC automatically matches physical nodes. This paper proposes a DQN algorithm which enables dynamic and real-time update of wireless resource allocation and mapping of service links based on feedback from the environment.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
