A Flexible Network Architecture for 5G Systems

In this paper, we define a flexible, adaptable, and programmable architecture for 5G mobile networks, taking into consideration the requirements, KPIs, and the current gaps in the literature, based on three design fundamentals: (i) split of user and control plane, (ii) service-based architecture within the core network (in line with recent industry and standard consensus), and (iii) fully flexible support of E2E slicing via per-domain and cross-domain optimisation, devising inter-slice control and management functions, and refining the behavioural models via experiment-driven optimisation. The proposed architecture model further facilitates the realisation of slices providing specific functionality, such as network resilience, security functions, and network elasticity. The proposed architecture consists of four different layers identified as network layer, controller layer, management and orchestration layer, and service layer. A key contribution of this paper is the definition of the role of each layer, the relationship between layers, and the identification of the required internal modules within each of the layers. In particular, the proposed architecture extends the reference architectures proposed in the Standards Developing Organisations like 3GPP and ETSI, by building on these while addressing several gaps identified within the corresponding baseline models. We additionally present findings, the design guidelines, and evaluation studies on a selected set of key concepts identified to enable flexible cloudification of the protocol stack, adaptive network slicing, and inter-slice control and management.

[1]  Marco Gramaglia,et al.  Mobile traffic forecasting for maximizing 5G network slicing resource utilization , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[2]  Peter Schneider,et al.  Providing strong 5G mobile network slice isolation for highly sensitive third-party services , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[3]  Gabor Jaro,et al.  Availability Prediction of Telecommunication Application Servers Deployed on Cloud , 2016 .

[4]  Luís M. Correia,et al.  Modelling of virtual radio resource management for cellular heterogeneous access networks , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[5]  Rolf Stadler,et al.  vNMF: Distributed fault detection using clustering approach for network function virtualization , 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

[6]  Alexandros Kaloxylos,et al.  5G Radio Access Network Architecture: Design Guidelines and Key Considerations , 2016, IEEE Communications Magazine.

[7]  Emmanouil Pateromichelakis,et al.  Selection and Dimensioning of Slice-Based RAN Controller for Adaptive Radio Resource Management , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[8]  Yashar Ganjali,et al.  Beehive: Simple Distributed Programming in Software-Defined Networks , 2016, SOSR.

[9]  Raouf Boutaba,et al.  On orchestrating virtual network functions , 2015, 2015 11th International Conference on Network and Service Management (CNSM).

[10]  Jennifer Rexford,et al.  Scalable Network Virtualization in Software-Defined Networks , 2013, IEEE Internet Computing.

[11]  Luís M. Correia,et al.  A model for virtual radio resource management in virtual RANs , 2015, EURASIP J. Wirel. Commun. Netw..

[12]  David Grace,et al.  Service-oriented resource virtualization for evolving TDD networks towards 5G , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[13]  Taoka Hidekazu,et al.  Scenarios for 5G mobile and wireless communications: the vision of the METIS project , 2014, IEEE Communications Magazine.

[14]  Peter Rost,et al.  Opportunistic Hybrid ARQ—Enabler of Centralized-RAN Over Nonideal Backhaul , 2014, IEEE Wireless Communications Letters.

[15]  Mauro Boldi,et al.  5G system design : architectural and functional considerations and long term research , 2018 .

[16]  Slawomir Stanczak,et al.  Towards flexible network deployment in 5G: Nomadic node enhancement to heterogeneous networks , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[17]  Holger Karl,et al.  Generating Resource and Performance Models for Service Function Chains: The Video Streaming Case , 2018, 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft).

[18]  Petar Popovski,et al.  METIS System Concept : The Shape of 5 G to Come , 2015 .

[19]  Sina Khatibi,et al.  Modelling of Computational Resources for 5G RAN , 2018, 2018 European Conference on Networks and Communications (EuCNC).

[20]  Stefano Secci,et al.  Virtual network functions placement and routing optimization , 2015, 2015 IEEE 4th International Conference on Cloud Networking (CloudNet).

[21]  Dimitris Tsolkas,et al.  The path towards resource elasticity for 5G network architecture , 2018, 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[22]  Jose F. Monserrat,et al.  5G Mobile and Wireless Communications Technology , 2016 .

[23]  Emmanouil Pateromichelakis,et al.  A Graph Coloring Based Inter-Slice Resource Management for 5G Dynamic TDD RANs , 2018, 2018 IEEE International Conference on Communications (ICC).

[24]  Panagiotis Spapis,et al.  Slice-Tailored Joint Path Selection & Scheduling in mm-Wave Small Cell Dense Networks , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[25]  Yan Grunenberger,et al.  Edinburgh Research Explorer Performance Assessment of Open Software Platforms for 5G Prototyping , 2018 .