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Markov Decision Process and Artificial Neural Network for Resource Capacity Planning in 5G Network Slicing reallocation, and maximum resource utilization. We employ an artificial neural network (multilayer perceptron
Dual methods for optimal allocation of total network resources of optimal allocation of a homogeneous resource (bandwidth) in a wireless communication network, which
Controllable Queuing System with Elastic Traffic and Signals for Resource Capacity Planning in 5G Network Slicing resource capacity for each provider. The reward function incorporates three network slicing principles
5G SLICING TECHNOLOGY TO SOLUTION RADIO RESOURCES SCARCITY AND NETWORKS INFLEXIBILITY PROBLEMS of 5G slicing technology in effective utilization of available radio resources.
Dynamic Resource Sharing in 5G with LSA: Criteria-Based Management Framework and the Mobile Network Operator (MNO) resource utilization. The approach is based on the MNO decision policy
Intelligent Resource Allocation Using an Artificial Ecosystem Optimizer with Deep Learning on UAV Networks-AEODL technique aims to effectually allot the resources in wireless UAV networks. In this case, the IRA
Vector resource allocation problems in communication networks systems such as communication networks, where both utilities of users and network expenses must be taken
Streaming and Elastic Traffic Service in 5G-Sliced Wireless Networks and Mutual Utilization of Guaranteed Resource Units, (i) mandatory isolation among network slices and (ii) the effective utilization of resource at Fifth
Utility function maximization problems for two cross-layer optimization algorithms in OFDM wireless networksOne of the main problems in wireless networks is optimization of radio resources allocation in down
Dual methods for optimal allocation of total network resources of optimal allocation of a homogeneous resource (bandwidth) in a wireless communication network, which
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