Admission and Congestion Control for 5G Network Slicing

Network Slicing has been widely accepted as essential feature of future 5thGeneration (5G) mobile communication networks. Accounting the potentially dense demand of network slices as a cloud service and the limited resource of mobile network operators (MNOs), an efficient inter-slice management and orchestration plays a key role in 5G networks. This calls advanced solutions for slice admission and congestion control. This paper proposes a novel approach of inter-slice control that well copes with existing pre-standardized 5G architectures.

[1]  Toktam Mahmoodi,et al.  Network slicing management & prioritization in 5G mobile systems , 2016 .

[2]  Navid Nikaein.  Slicing and orchestration in service-oriented 5G architecture , 2018 .

[3]  Dimitrios Tzovaras,et al.  Multi-Objective Optimization for Multimodal Visualization , 2014, IEEE Transactions on Multimedia.

[4]  L. Wosinska,et al.  Resource Orchestration Meets Big Data Analytics: The Dynamic Slicing Use Case , 2018, 2018 European Conference on Optical Communication (ECOC).

[5]  Gustavo de Veciana,et al.  Network Slicing for Guaranteed Rate Services: Admission Control and Resource Allocation Games , 2018, IEEE Transactions on Wireless Communications.

[6]  Andres Garcia-Saavedra,et al.  Overbooking Network Slices End-to-End: Implementation and Demonstration , 2018, SIGCOMM Posters and Demos.

[7]  Tho Le-Ngoc,et al.  Joint resource provisioning and admission control in wireless virtualized networks , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).

[8]  Lena Wosinska,et al.  A Slice Admission Policy Based on Reinforcement Learning for a 5G Flexible RAN , 2018, 2018 European Conference on Optical Communication (ECOC).

[9]  Marco Gramaglia,et al.  Optimising 5G infrastructure markets: The business of network slicing , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[10]  Vincenzo Sciancalepore,et al.  From network sharing to multi-tenancy: The 5G network slice broker , 2016, IEEE Communications Magazine.

[11]  Andres Garcia-Saavedra,et al.  OVNES: Demonstrating 5G network slicing overbooking on real deployments , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[12]  Bin Han,et al.  Slice as an Evolutionary Service: Genetic Optimization for Inter-Slice Resource Management in 5G Networks , 2018, IEEE Access.

[13]  Robert Babuska,et al.  A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[14]  Emil Björnson,et al.  Multiobjective Signal Processing Optimization: The way to balance conflicting metrics in 5G systems , 2014, IEEE Signal Processing Magazine.