Journal Article10.1109/MIC.2017.3481355
Network Slicing for 5G: Challenges and Opportunities
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TL;DR: The authors discuss this technology’s background and propose a framework for network slicing for 5G, and discuss remaining challenges and future research directions.
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Abstract: Network slicing for 5G provides Network-as-a-Service (NaaS) for different use cases, allowing network operators to build multiple virtual networks on a shared infrastructure. With network slicing, service providers can deploy their applications and services flexibly and quickly to accommodate diverse services’ specific requirements. As an emerging technology with a number of advantages, network slicing has raised many issues for the industry and academia alike. Here, the authors discuss this technology’s background and propose a framework. They also discuss remaining challenges and future research directions.
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Citations
An Approach for Service Function Chain Reconfiguration in Network Function Virtualization Architectures
TL;DR: An integer linear programming (ILP) formulation with implementation in CPLEX is provided to exactly solve the service function chain dynamic reconfiguration problem (SFC-DRP), and the obtained simulation results show that the proposal can approximate the performance of the ILP within a polynomial time, and outperform the existing benchmark in terms of reconfigured overhead and the revenue from service provisioning respectively.
Benefits of using 5G Network Slicing to implement Vehicle-to-Everything (V2X) technology
Irena Seremet,Samir Causevic +1 more
- 20 Mar 2019
TL;DR: The aim of this paper is to describe advantages of using 5G network slicing V2X in relation to 4GNetwork slicing V1X, and to suggest ways to improve the quality of network slicing for 5G networks.
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A novel dynamic programming inspired algorithm for embedding of virtual networks in future networks
TL;DR: A Dynamic Programming Inspired Algorithm (DyPI-Algo), a generic algorithm for mapping virtual networks on a shared infrastructure that is able to maximize acceptance ratio and load balancing and is found to be scalable in terms of time complexity when increasing the size of the substrate network and requests.
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Machine-type wireless communications enablers for beyond 5G: Enabling URLLC via diversity under hard deadlines
TL;DR: The approximated upper bound of the probability of time underflow under time and frequency diversities is provided and the maximum achievable reliability as a function of the time threshold for a given probability oftime underflow is indicated.
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