Resource queueing system for analysis of network slicing performance with QoS-based isolation

Network slicing is defined as one of the main components of fifth-generation mobile communications that can solve the problem of colossal growth in data volume traffic in cellular networks. A key feature of slicing is to limit the effect of one slice on another to provide a high quality of service. Therefore, in this paper, a model for resource sharing in slicing using the queueing theory methods is constructed. The main aim is to determine how radio resources should be fairly shared between different slices in the system. The proposed algorithm ensures the isolation of slices according to the quality of service. The resource sharing problem is formulated as an optimization problem. Analysis of the system’s performance characteristics will allow us to conclude that the isolation parameter has a significant effect on metrics of interest

Development of radio admission scheme model for 5G network slicing framework as a retrial queue

To improve the efficiency of using network resources, fifth-generation 5G networks propose to use the technology of network slicing. This feature consists of creating multiple logical, self-contained networks on top of a common shared physical infrastructure, and, therefore, it can be used to support multi-tenancy on the 5G network. Each of these logical networks is referred to as a network slice and can be tailored to provide a particular system behavior to best support specific service/application domains. This work is devoted to the development of a mathematical model of resource allocation in network slicing. Using the firstorder asymptotic analysis method, we will find basic numerical and probabilistic characteristics

Performance Analysis of Mixture of Unicast and Multicast Sessions in 5G NR Systems

3GPP New Radio (NR) air interface operating in a millimeter wave frequency band is expected to provide the main bearer service in the fifth generation (5G) mobile systems. Compensating for high propagation losses by using high gain antennas at both user equipment † (UE) and access point (AP) sides these systems will greatly benefit from highly directional transmission serving unicast sessions. However, highly directional nature of NR communications may affect the conventional service procedures of multicast sessions in wireless networks as more than a single transmission may be required to serve UEs in the same multicast group. Accounting for random resource requirements induced by locations of UEs as well as human blockage phenomenon, we develop a model for performance analysis of 5G NR systems serving a mixture of unicast and multicast sessions. The main performance metrics of interest are drop probabilities of unicast and multicast sessions. The proposed model, complemented with antenna models and beam-steering procedure, can be further used to determine optimal AP intersite distance for 3GPP NR systems.acceptedVersionPeer reviewe