WCSE

Network Slicing Resource Mapping Algorithm Oriented to Delay and Reliability Awareness

Abstract— Network slicing is an important network technology that meets different 5G application scenarios. Aiming at the differentiated needs of business and the problem of providing customized network services for tenants through resource mapping, a network slicing resource mapping algorithm oriented to latency and reliability awareness is proposed. First, in order to fully perceive the latency and reliability indicators of the underlying nodes, the reinforcement learning model is introduced into the node mapping process, and the ability of the model to interact with the environment is used to enable it to perceive changes in the underlying state and make dynamic decisions. Secondly, in the link mapping stage, facing the different requirements of delay and reliability, a hierarchical mapping strategy is adopted to realize a network slice resource mapping algorithm for differentiated services. Finally, through simulation and comparison with other algorithms, the results show that the proposed algorithm not only meets the requirements of reliability and delay, but also improves the request acceptance rate and resource utilization rate, and guarantees the delay and reliability of service quality.

Index Terms— D2D communication, power control, throughput, adjustment speed.

Ji-Hong Zhao
Xi'an University of Post & Telecommunications School of Communication and Information Engineering
Zhi-Lin Lei
Xi'an University of Post & Telecommunications School of Communication and Information Engineering
Hua Qu
BXi’an Jiaotong University School of Electronic and Information Engineering
Hang Song
Xi'an University of Post & Telecommunications School of Communication and Information Engineering

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Cite: Ji-Hong Zhao, Zhi-Lin Lei, Hua Qu, Hang Song, " Network Slicing Resource Mapping Algorithm Oriented to Delay and Reliability Awareness, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 632-641, Sanya, China, April 15-18, 2022.