IMT Activities on 5GI Network store: an SDN based market place gathering 5G applications and network...

InstitutMines-Telecom

IMT Activities on 5G

Marceau Coupechoux

Workshop on Modeling, Optimization andControl in 5G NetworksParis, 7 Sept. 2015

Introduction

I Again a vision of 5G !?

I No: only 2 slides...

I A detailed and accurate list of research issues ?

I No: a tentative classification of key (buzz?) words.

I Can I ask questions ?

I No: except on load balancing in HetNets and matching gamesfor user association.

2/21 Sept, 2015 Institut Mines-Telecom IMT Activities on 5G

Images

I All images are taken from papers published by IMT researchers

I Including this one:

Source: Di Taranto, R.; Muppirisetty, S.; Raulefs, R.; Slock, D.; Svensson, T.; Wymeersch, H., ”Location-AwareCommunications for 5G Networks: How location information can improve scalability, latency, and robustness of5G,” in Signal Processing Magazine, IEEE , vol.31, no.6, pp.102-112, Nov. 2014


Images

I All images are taken from papers published by IMT researchersI Including this one:

Source: Di Taranto, R.; Muppirisetty, S.; Raulefs, R.; Slock, D.; Svensson, T.; Wymeersch, H., ”Location-AwareCommunications for 5G Networks: How location information can improve scalability, latency, and robustness of5G,” in Signal Processing Magazine, IEEE , vol.31, no.6, pp.102-112, Nov. 2014


Some 5G Challenges

I An increasing demand (capacity, data rate, latency requirements)

I A high heterogeneity (terminals, equipments, technologies)

I A massive connectivity (support for machine-type com., IoT)

I A wide range of applications (QoS, QoE requirements)

I The need for fossile energy consumption reduction

I The need for security and privacy


Some 5G Challenges

HIGH PERFORMANCESEFFICIENT

RESOURCE ALLOCATIONMASSIVE CONNECTIVITY

QoE AND SECURITY FLEXIBLE AND LOW COST NETWORK MANAGEMENT

DensifyUse more spectrumIncrease spectral efficiencyModel systems and evaluate performance

Manage interferenceManage spectrumSave energyManage traffic and mobility

Support MTC and IoTSupport Intelligent Transportation SystemsSupport Public Safety applications

Improve video QoEEnsure efficient content diffusionEnsure security and privacy

Virtualized and cloud based networksDecentralized self-organized networksFixed-mobile convergenceInfrastructure sharing


IMT Activities on:Densification

I HetNets: impacts on capacity, coverage,energy efficiency, impact of mobility.

I Multi-RAT: joint radio resourcemanagement schemes for LTE/WiFinetworks. Algorithms to deliver MobileTV in a LTE/DVB hybrid network.802.11s-LTE interworking. Tightcoupling LTE/WiFi architectures foroffloading.

I Relays: relay placement optimization,relay power optimization, relay selection,mobile relay performance evaluation,cooperative relay optimal scheduling, fullduplex relays.

I D2D: online matching of D2D users, useof mobility and community structure forlarge scale dissemination in D2Dnetworks.


IMT Activities on:Improved Spectral Efficiency

I MIMO: MU, Massive, Network MIMO.Precoder design, performance evaluationunder imperfect CSIT. Feedbackmechanisms (inc. based on D2Dcommunications). User selection schemesfor MU-MIMO. Interference reductiontechniques. Channel estimation schemes totackle the pilot contamination problem inmassive MIMO. Performance/complexityanalysis. Low complexity decoders.

I Network Information theory for thecognitive interference channel, thehalf-duplex relay channel.

I Decentralized optimization and decisionmaking across devices.

I Lattice codes for interference reduction,network coding.


IMT Activities on:Performance Evaluation

I Stochastic Geometry and SimplicialHomology: spatial models forperformance evaluation, dimensioning,planning of future cellular technologies(CoMP, massive MIMO, SIC, NOMA,mmW, relays)

I Traffic and mobility studies: impact ofbeamforming, CoMP, HetNets oncapacity and user throughputs (from aqueueing theory point of view).

I OpenAirInterface: a platform for 5Gresearch on M2M, C-RAN, HetNets,D2D, dynamic spectrum access, SDN,latency analysis.


IMT Activities on:Interference and Spectrum Management

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I Interference coordination (ICIC)and load balancing SON schemes inHetNets. User association schemeswith service differentiation.

I MAB algorithms for opportunisticspectrum access. Joint power andsensing strategies for interweave /underlay cognitive radio underimperfect CSIT. CR for VANETs.Surveillance strategies againstmalicious PUs. Collaborativesensing. TV white space trials.

I Inter-operators spectrum sharingrules, algorithm design for LicensedShared Access, Carrier Aggregation(CA), inter-RAT CA.


IMT Activities on:Traffic and Mobility Management

I User location prediction basedon social inter-play and userperiodic behaviors (fromnetwork traces).

I Mobility management: Hybridcentralized-distributed mobilitymanagement (DMM) toovercome the drawbacks ofDMM and PMIPv6.Performance evaluation ofDynamic Mobility Anchoring(DMA) and PMIP.

I An architecture to managedelay-tolerant users and analgorithm to decide when totrigger the download.


IMT Activities on:Energy Saving

I Energy optimization of mobiledevices. Modeling of device energyconsumption (platforms).

I Base station switch off mechanismsusing simplicial homology. Transmitpower reduction impact on capacityand coverage. Online controller foroptimizing BS sleep modes. Study ofthe trade-off between user QoE andenergy saving. Cell breathingapproaches in HetNets. Effects onEM exposure.

I Analysis and optimization of energyharvesting communication systemsand hybrid base stations.


IMT Activities on:Machine-Type-Communications

I Architectures: M2M device management,IoT architectures for health-care servicesin smart homes or for smart cities. Fogcomputing architecture for IoT and M2M.Service discovery architectures.

I Access: packet aggregation, MAC, powercontrol, resource allocation mechanismsfor massive random access.Contention-based access using MU-MIMOat the BS. M2M traffic modeling.Modeling, performance evaluation, PHYand MAC optimization of burstytransmissions (short packets, impulsiveinterference).

I Crowdsensing: an algorithm to reduceenergy consumption in data transfer byoptimizing task assignment and datacollection while considering privacy issues.


IMT Activities on:Intelligent Transportation Systems

I ITS-5G cooperation: CooperativeITS-5G gateway, interface selectionalgorithms. Load balancingtechniques. Cellular networkoffloading algorithms throughVANETs. A LTE-direct broadcastmechanism for periodic vehicularsafety communications. D2D forsafety applications.

I iTETRIS: A modular simulationplatform for the large scale evaluationof cooperative ITS applications.

I Architectures: Storage placement onthe 5G edge nodes (LTE or WiFi orDSRC/ITSG5) under SDNarchitecture. IPv6 architecture forCloud to Vehicle downstream services.


IMT Activities on:Content Centric Networking

I Management policies anddimensioning rules (memory sizeand placement) in HetNets andD2D devices, to improve both thebackhaul traffic and the QoS/QoEof the served user. Costoptimization of edge offloadingschemes. Study of the trade-offbw user satisfaction and operatorcost. Off-path caching.

I New architectures leveragingbetter resource (CPU)virtualization and management.New protocols (MPTCP) forsmoother and robustercommunication.


IMT Activities on:Quality of Experience

I Analysis and design of adaptivevideo streaming algorithms andopportunistic schedulingalgorithms. A QoE awaredirectional beam scheduling forscalable video coding (SVC)streaming.

I Study of the QoE (interruptionfrequency and duration, videoframe loss probability) of livemobile TV users in the presence ofa playout buffer at the receiver side.

I Cross-layer, multi-RATmechanisms for enhancing videodelivery, e.g. a cooperativeretransmission mechanism forbroadcast data flows via cellularnetwork to improve QoS.

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IMT Activities on:Security and Privacy

I Physical layer security. Secret keygeneration from channel randomness.

I A new USIM-TLS generationimplementing AKA and supportingTLS in order to ease SLA-type ofmechanisms

I Privacy and security in ITS:development of a PKI for ITS,topology of CertificationAuthorities, development of adetection system to filter outmalicious vehicles.

I Lightweight collaborative keyestablishment scheme for theInternet of Things.

I Privacy in mobile crowdsourcingusing mobile cloud computing.


IMT Activities on:Software Defined Networks

I Architectures (distribution offunctions across controllers, #and placements of controllers),protocols and algorithms(failure detection, fail-over andrecovery techniques, fastconvergence and loop avoidance)for resiliency and stability of thecontrol plane.

I Network store: an SDN basedmarket place gathering 5Gapplications and networkfunctions run on cloudinfrastructures for operators,companies and OTTs.

I Cellular network managementbased on Big Data streamprocessing.

Fig. 1. Distributed SDN Controller Architecture.

The idea that in a distributed SDN architecture there can beadvantages in having a non logically centralized control planehas been put forward by DISCO [10]. It provides a distributedcontrol plane where each controller is in charge of a sub-setof the switches (called a controller domain) and communicateswith other controllers using on a lightweight and extensiblemessage-oriented communication bus (AMQP).

Some work on failover on OpenFlow switches have beenpresented, [4] explores how to react quickly and effectively toswitch and link failures in the data plane. [3] tries to solvecontrol plane failures, but contrary to our work focuses oncontrol plane link failures with a single controller. These twoworks are thus complementary of our approach.

A switch migration protocol is presented in ElastiCon [5].As in our work, ElastiCon shows a mechanism to dynamicallychange the domain partition. The goal addressed is to handleload variation through the network. Both the old and thenew controller take part in the handover protocol, makingit unsuitable as a failover mechanism where only the newcontroller is active. It allows ElastiCon mechanism to ensurethat all messages are treated correctly. In our case, only theactive controllers can manage the failover since our mechanismis triggered by the failure of a controller. In addition, Elasticonassumes that all the controllers share a common database,making data exchange between controllers outside of theirscope.

III. FAILOVER MECHANISMS

In this section we present the failover mechanisms that wepropose to recover from controller failures in distributed SDNarchitectures. This section first presents the types of failuresthat we consider and the already existing mechanisms thatOpenFlow provides to support failover mechanisms.

A. Types and management of controller failures in OpenFlow

Failure types and detection. The SDN design decouplesdata and control planes, and runs the control functions onhardware that might be in different physical locations fromthe data plane elements (Fig. 1). Controller failures can thusbe of several kinds:

• Software/hardware failures can be caused by bugs,attacks or maintenance errors.

• Network failures leading to a loss of the connectivitybetween a controller and a switch.

Note that they can also result in a failure of the data plane,especially if OpenFlow rules are installed reactively on theswitches.

Controllers can discover the failure of their neighbors in anumber of ways:

• Heartbeat messages: Each controller regularly sendsheartbeat messages to neighbor controllers. If N con-secutive messages are missed, it can consider that theneighbor controller has failed.

• Failure message: Controllers could fail in a gracefulway by sending a Failure message to their neighborsbefore totally shutting down. This can happen for ex-ample when a controller is being shut down manuallyfor maintenance reason.

The troubleshooting and detection of more complex errorsis part of ongoing research [12]. Two kinds of failover mech-anisms can be considered following the detection. Controller-driven strategies where a controller triggers a failover mech-anism after the detection of a failure. The response timein this case could be impacted by the delay and jitterof inter-controller communications. Switch-driven strategieswhere switches identify the failure and start looking for a newcontroller.

Controller roles in OpenFlow. In the OpenFlow Protocol(OF), a switch may be connected to a number of controllers.This is usually static but it can be changed through theOpenFlow Management and Configuration Protocol 1.2 (OF-Config). Each controller can have one of the 3 followingroles for a switch: master, equal or slave [9]. Master andEqual controllers can both receive asynchronous messages(e.g., Packet-In) and modify switches states. Each switch canhave a maximum of one master switch, but as many equal orslave controllers. By default slave controllers do not receiveasynchronous messages and can only read switches states.


IMT Activities on:Cloud Architectures

I Engineering rules to deploy Digitized Radio-over-Fiber (D-RoF)fronthaul infrastructures able to sustain 5G traffic and save processingresources. BBU processing load models for C-RAN. Virtualized cloudsarchitecture for BBU processing.

I Mobile Cloud architectures. Mobile Cloud Computing strategies toprovide context-aware advanced services to the mobile users. MobileCloud offloading strategies to alleviate some tasks from device to cloud.Management of radio, computing and storage resources in Cloud MobileGaming.


IMT Activities on:RF Design

I RF transceivers for 5G BS and MSapplications, including Direct digitizationRF receivers based on delta-sigmamodulation & ADC architectures withsignal conditioning (DPD) and digitalpost-correction; digital architectures forsoftware defined radio design

I Design of RF front-ends implementingband aggregation, characterization andmodeling of amplifier non linearities inmmW bands, design of reconfigurablemultiband antennas.

I Modeling of the radio channel (incl.terminal part) using jointantenna-propagation statistical models.


IMT Researchers Working on 5G

Eurecom: C. Bonnet, L. Cottatel-lucci, P. Elia, D. Gesbert, J. Haerri,F. Kaltenberger, R. Knopp, N. Nikaein,T. Spyropoulos.

Telecom Bretagne: C. Abdelnour, J.-M. Bonnin, B. Cama, C. Douillard,F. Guilloud, G. Habault, X. Lagrange,G. Le Gall, L. Nuaymi, G. Simon.

Telecom Lille: L. Clavier, A. Meddahi.

Telecom SudParis: H. Afifi, T. Cha-hed, H. Chaouchi, N. Crespi, V. Gau-thier, B. Jouaber, D. Zeghlache,D. Zhang.

Telecom ParisTech (COMELEC):L. Apvrille, X. Begaud, J.-C. Belfiore,E. Bergeault, P. Ciblat, J.-C. Cousin,P. Desgrey, C. Jabbour, W. Hachem,A.-C. Lepage, V.-T. Nguyen,R. Pacalet, H. Petit, G. Rekaya,C. Roblin, A. Sibille, A. Tchamkerten,M. Wigger.

Telecom ParisTech (INFRES):T. Bonald, N. Boukhatem, C. Chaudet,M. Coupechoux, L. Decreuse-fond, M. Gagnaire, A. Giovanidis,P. Godlewski, L. Iannone, R. Khatoun,H. Labiod, P. Martins, G. Memmi,D. Rossi, J.L. Rougier, A. Serhrouchni,P. Urien, A. Vergne.


The End

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IMT Activities on 5GI Network store: an SDN based market place gathering 5G applications and network...

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