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Envisioned low-latency services in 5G, like automated driving, will rely mainly on Multi-access Edge Computing (MEC) to reduce the distance, and hence latency, between users and the remote applications. MEC hosts will be deployed close to mobile base stations, constituting a highly distributed computing platform. However, user mobility may raise the need to migrate a MEC application among MEC hosts to ensure always connecting users to the optimal server, in terms of geographical proximity, Quality of Service (QoS), etc. However, service migration may introduce: (i) latency for users due to the downtime duration; (ii) cost for the network operator as it consumes bandwidth to migrate services. One solution could be the use of service replication, which pro-actively replicates the service to avoid service migration and ensure low latency access. Service replication induces cost in terms of storage, though, requiring a careful study on the number of service to replicate and distribute in MEC. In this paper, we propose to compare service migration and service replication via an analytical model. The proposed model captures the relation between user mobility and service duration on service replication as well as service migration costs. The obtained results allow to propose recommendations between using service migration or service replication according to user mobility and the number of replicates to use for two types of service. ; This work was partially funded by the European Union's Horizon 2020 research and innovation program under the 5GTransformer project (grant no. 761536)

This paper has been presented at: IEEE Global Communications Conference, GLOBECOM 2019 ; Network slicing is one of the key components allow-ing to support the envisioned 5G services, which are organized in three different classes: Enhanced Mobile Broadband (eMBB), massive Machine Type Communication (mMTC), and Ultra-Reliable and Low-Latency Communication (URLLC). Network Slicing relies on the concept of Network Softwarization (Software Defined Networking - SDN and Network Functions Virtualization - NFV) to share a common infrastructure and build virtual instances (slices) of the network tailored to the needs of dif-ferent 5G services. Although it is straightforward to slice and isolate computing and network resources for Core Network (CN) elements, isolating and slicing Radio Access Network (RAN) resources is still challenging. In this paper, we leverage a two-level MAC scheduling architecture and provide a resource sharing algorithm to compute and dynamically adjust the necessary radio resources to be used by each deployed network slice, covering eMBB and URLLC slices. Simulation results clearly indicate the ability of our solution to slice the RAN resources and satisfy the heterogeneous requirements of both types of network slices. ; This work was partially supported by the European Union's Horizon 2020 Research and Innovation Program under the 5G!Drones (Grant No. 857031) and 5G-TRANSFORMER (Grant No. 761536) projects.

Multi-access Edge Computing (MEC) is gaining momentum as it is considered as one of the enablers of 5G ultra-Reliable Low-Latency Communications (uRLLC) services. MEC deploys computation resources close to the end user, enabling to reduce drastically the end-to-end latency. ETSI has recently leveraged the MEC architecture to run all MEC entities, including MEC applications, as Virtual Network Functions (VNF) in a Network Functions Virtualization (NFV) environment. This evolution allows taking advantage of the mature architecture and the enabling tools of NFV, including the potential to apply a variety of service-tailored function placement algorithms. However, the latter need to be carefully designed in case of MEC applications such as uRLLC, where service access latency is critical. In this paper, we propose a novel placement scheme applicable to a MEC in NFV environment. In particular, we propose a formulation of the problem of VNF placement tailored to uRLLC as an optimization problem of two conflicting objectives, namely minimizing access latency and maximizing service availability. To deal with the complexity of the problem, we propose a Genetic Algorithm to solve it, which we compare with a CPLEX implementation of our model. Our numerical results show that our heuristic algorithm runs efficiently and produces solutions that approximate well the optimal, reducing latency and providing a highly-available service. ; This work has been partially supported by the European Union's H2020 5G-Transformer Project (grant no. 761536)

Funding Information: AcknoWledgMent This work was partially supported by the European Union's Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031; by the Academy of Finland 6Genesis project under Grant No. 318927; and by the Academy of Finland CSN project under Grant No. 311654. Publisher Copyright: © 1986-2012 IEEE. ; While Unmanned Aerial Vehicles (UAVs) are expected to introduce disruptive innovations in our society, it is foreseen that the used communication technology is the key factor that can unlock their potential. To this end, the upcoming generation of mobile networks, 5G-and-beyond, are envisioned to be the communication standards to support diverse UAV applications. This will also enable UAVs to benefit from the limitless progress achieved in mobile systems. To facilitate the support of UAV services in 5G-and-beyond networks, this article introduces a framework that links the mobile telecommunication domain to the UAV domain. The proposed framework reflects an operational view enabling UAV operators to prepare and deploy their applications over different 5G mobile telecommunication networks. Moreover, the framework allows UAV operators to customize mobile systems in accordance with the specifications of their target services and to constantly receive analytical and statistical data on their running applications.Furthermore, in order to ensure network services (dedicated to UAV applications) over heterogeneous mobile systems, this article also discusses the federation of 5G networks. ; Peer reviewed

In press / En prensa ; We present an architecture for the provision of video Content Delivery Network (CDN) functionality as a service over a multi-domain cloud. We introduce the concept of a CDN slice, that is, a CDN service instance which is created upon a content provider's request, is autonomously managed, and spans multiple, potentially heterogeneous, edge cloud infrastructures. Our design is tailored to a 5G mobile network context, building on its inherent programmability, management flexibility, and the availability of cloud resources at the mobile edge level, thus close to end users. We exploit Network Functions Virtualization (NFV) and Multi-access Edge Computing (MEC) technologies, proposing a system which is aligned with the recent NFV and MEC standards. To deliver a Quality-of-Experience (QoE) optimized video service, we derive empirical models of video QoE as a function of service workload, which, coupled with multi-level service monitoring, drive our slice resource allocation and elastic management mechanisms. These management schemes feature autonomic compute resource scaling, and on-the-fly transcoding to adapt video bit-rate to the current network conditions. Their effectiveness is demonstrated via testbed experiments. ; This work was partially funded by the Academy of Finland Project CSN under Grant Agreement No. 311654, and the Academy of Finland's Flagship Programme 6Genesis under Grant Agreement No. 318927. The work is also partially supported by the European Union's Horizon 2020 research and innovation program under the 5G!Pagoda, 5GTRANSFORMER, and MATILDA projects with grant agreement No. 723172, No. 761536, and No. 761898, respectively.

International audience ; New generation radio equipment, used by soldiers and vehicles on the battlefield, form ad hoc networks and specifically, Mobile Ad hoc NETworks (MANET). The battlefields where these equipment are deployed include a majority of coalition communication. Each group on the battleground may communicate with other members of the coalition and establish inter-MANET links. These inter-MANET links are governed by routing policies that can be summarized as Allowed or Denied link. However, if more than two groups form a coalition, blocked multi-hop communications and non-desired transmissions due to these restrictive policies would appear. In this paper, we present these blocking cases and theoretically evaluate their apparition frequency. Then, we present two alternatives to extend the binary policies and decrease the number of blocking cases. Finally, we describe an experimental scenario containing a blocking case and evaluate our propositions and their performance.

We address the fundamental tradeoff between deployment cost and service availability in the context of on-demand content delivery service provision over a telecom operator's network functions virtualization infrastructure. In particular, given a specific set of preferences and constraints with respect to deployment cost, availability and computing resource capacity, we provide polynomial-time heuristics for the problem of jointly deriving an appropriate assignment of computing resources to a set of virtual instances and the placement of the latter in a subset of the available physical hosts. We capture the conflicting criteria of service availability and deployment cost by proposing a multi-objective optimization problem formulation. Our algorithms are experimentally shown to outperform state-of-the-art solutions in terms of both execution time and optimality, while providing the system operator with the necessary flexibility to balance between conflicting objectives and reflect the relevant preferences of the customer in the produced solutions. ; This work was supported in part by the French FUI-18 DVD2C project and by the European Union's Horizon 2020 research and innovation program under the 5G-Transformer project (grant no. 761536).

International audience ; New generation radio equipment, used by soldiers and vehicles on the battlefield, form ad hoc networks and specifically, Mobile Ad hoc NETworks (MANET). The battlefields where these equipment are deployed include a majority of coalition communication. Each group on the battleground may communicate with other members of the coalition and establish inter-MANET links. These inter-MANET links are governed by routing policies that can be summarized as Allowed or Denied link. However, if more than two groups form a coalition, blocked multi-hop communications and non-desired transmissions due to these restrictive policies would appear. In this paper, we present these blocking cases and theoretically evaluate their apparition frequency. Then, we present two alternatives to extend the binary policies and decrease the number of blocking cases. Finally, we describe an experimental scenario containing a blocking case and evaluate our propositions and their performance.

One of the key targets of the upcoming 5G system is to build a mobile network architecture that supports not only classical mobile broadband applications (i.e., Internet and IMS), but also vertical industry services, such as those of automotive systems, e-health, public safety, and smart grid. Vertical industry is known to have specific needs that cannot be sustained by the current cellular networks. More notably, automotive systems require strict quality of service in terms of ultrashort latency for vehicle-toinfrastructure/ network (V2I/N) communications. In this paper, we introduce the Follow Me edge-Cloud (FMeC) concept, leveraging the mobile edge computing (MEC) architecture to sustain requirements of the 5G automotive systems. Assuming that automotive services are deployed on MEC entities, FMeC ensures low-latency access to these services by guaranteeing that vehicles (i.e., as well as user equipment on board vehicles) always connect to nearest automotive service. Besides the FMeC architecture, our contribution in this paper consists in presenting a projection of the FMeC solution on an automated driving use case that integrates automotive and Telco infrastructures, to realize the vision of future 5G automotive systems.We introduce the envisioned software defined networking/OpenFlow-based architecture and our mobility-aware framework based on a set of building blocks that permit achieving the automated driving requirements within 5G network. The evaluation results, obtained conjointly through theoretical analysis and computer simulation, showthat our proposed solution outperforms baseline approaches in meeting the automated driving latency requirement and minimizing the incurred global cost. ; This work was supported in part by the Academy of Finland Project CSN under Grant 311654 and in part by the European Union's Horizon 2020 research and innovation program under the 5G!Pagoda project under Grant 723172 and EU H2020 5G-Transformer Project under Grant 761536.

With advent of 5G, the classical mobile network business model is shifting from a network-operator-oriented business to a more open system with several actors. In this context, the Network Slice provider will play the role of an intermediate entity between the vertical service provider and the resource provider. To deploy a network slice, the network slice provider will require a brokering mechanism, which allows it to lease resources from different providers in a secure and private way. In this paper we propose a broker design based on Blockchain technology, providing a mechanism that secures and ensures anonymous transactions. ; This work was partially funded by the European Union's Horizon 2020 research and innovation program under the 5G-Transformer project (grant no. 761536). Dr. Ksentini is corresponding author.

To provide efficient, safe, and secure access to the airspace, the European Union has launched a set of new services called U-space that allow for the support of unmanned aerial vehicle (UAV) management and conflict prevention for flights in the airspace. These services are based on communication technology, which is expected to be the key enabler to unlock the underlying potential of UAV operations. In this regard, the 5G mobile network is envisioned to be the communication standard to support diverse UAV operations and applications. In this article, we propose a novel architecture that integrates 5G systems (5GSs) with U-space. The main aim consists of providing a reference design that demonstrates how 5G can support U-space services and shows the interactions among different stakeholders. Further, we introduce the 5G!Drones project, which relies on the proposed architecture to test UAV use-case scenarios on top of the 5G infrastructure. ; Peer reviewed