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An Intelligent Admission Control Scheme for Dynamic slice handover Policy in 5G Network Slicing

Computers, Materials & Continua 2023年第5期75卷 4611-4631页

作者： Ratih Hikmah Puspita Jehad Ali Byeong-hee Roh Department of AI Convergence Network Ajou UniversitySuwon16499Korea Department of Computer Engineering and Department of AI Convergence NetworkAjou UniversitySuwon16499Korea

5G use cases,for example enhanced mobile broadband(eMBB),massive machine-type communications(mMTC),and an ultra-reliable low latency communication(URLLC),need a network architecture capable of sustaining stringent latency and bandwidth requirements;thus,it should be extremely flexible and *** enables service providers to develop various network slice *** users travel from one coverage region to another area,the callmust be routed to a slice thatmeets the same or different *** research aims to develop and evaluate an algorithm to make handover decisions appearing in 5G sliced *** of thumb which indicates the accuracy regarding the training data classification schemes within machine learning should be considered for validation and selection of the appropriate machine learning ***,this study discusses the network model’s design and implementation of self-optimization Fuzzy Qlearning of the decision-making algorithm for slice *** algorithm’s performance is assessed by means of connection-level metrics considering the Quality of Service(QoS),specifically the probability of the new call to be blocked and the probability of a handoff call being ***,within the network model,the call admission control(AC)method is modeled by leveraging supervised learning algorithm as prior knowledge of additional ***,to mitigate high complexity,the integration of fuzzy logic as well as Fuzzy Q-Learning is used to discretize state and the corresponding action *** results generated from our proposal surpass the traditional methods without the use of supervised learning and fuzzy-Q learning.

关键词： 5g network slice fuzzy q-Learning slice handover

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