… network slicing architecture for 6G networks to enable the synergy of AI and network slicing,
thereby facilitating intelligent network … learning in wireless networks and network slicing. …

… requirement of services in 6G networks. This paper introduces a joint network slicing and
routing mechanism, which combines the network management and control framework to …

… We first introduce a cognitive radio network model combined with network slicing. Secondly,
we introduce the basic concepts of reinforcement learning algorithms, Q-Learning and …

… allocation of resources using network slicing as the seminal … Machine Learning-based Network
Sub-slicing Framework in … -slicing of the network slice using machine learning algorithms …

… training and operating network orchestration models are challenging, given that the big
datasets are distributed across many networks and would require federated learning approaches …

… Under the framework of hierarchical network slicing, we consider a RAN scenario with a
single BS, where a set N of NSs share the aggregated bandwidth W.The bandwidth is allocated …

… This work proposes a machine learning (ML) driven … slice instances and network slice subnet
management (NSSM) functions for managing slice subnet instances in the access network (…

… This study proposes to design the future 5G networks by the integration of all three technologies.
It is believed that spectrum efficiency, energy efficiency, and overall throughput will be …

… location information of mobile users and accurate and … approach based on learning and
optimization methods. Particularly, we develop a distributed learning method to predict mobile …

… this study, we used deep reinforcement learning (DRL) to allocate resources for network
slicing … In this study, we calculated the network slice’s overall utility, which is connected with the …