34 research outputs found

    Will SDN be part of 5G?

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    For many, this is no longer a valid question and the case is considered settled with SDN/NFV (Software Defined Networking/Network Function Virtualization) providing the inevitable innovation enablers solving many outstanding management issues regarding 5G. However, given the monumental task of softwarization of radio access network (RAN) while 5G is just around the corner and some companies have started unveiling their 5G equipment already, the concern is very realistic that we may only see some point solutions involving SDN technology instead of a fully SDN-enabled RAN. This survey paper identifies all important obstacles in the way and looks at the state of the art of the relevant solutions. This survey is different from the previous surveys on SDN-based RAN as it focuses on the salient problems and discusses solutions proposed within and outside SDN literature. Our main focus is on fronthaul, backward compatibility, supposedly disruptive nature of SDN deployment, business cases and monetization of SDN related upgrades, latency of general purpose processors (GPP), and additional security vulnerabilities, softwarization brings along to the RAN. We have also provided a summary of the architectural developments in SDN-based RAN landscape as not all work can be covered under the focused issues. This paper provides a comprehensive survey on the state of the art of SDN-based RAN and clearly points out the gaps in the technology.Comment: 33 pages, 10 figure

    Softwarization in Future Mobile Networks and Energy Efficient Networks

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    The data growth generated by pervasive mobile devices and the Internet of Things at the network edge (i.e., closer to mobile users), couple with the demand for ultra-low latency, requires high computation resources which are not available at the end-user device. This demands a new network design paradigm in order to handle user demands. As a remedy, a new MN network design paradigm has emerged, called Mobile Edge Computing (MEC), to enable low-latency and location-aware data processing at the network edge. MEC is based on network function virtualization (NFV) technology, where mobile network functions (NFs) that formerly existed in the evolved packet core (EPC) are moved to the access network [i.e., they are deployed on local cloud platforms in proximity to the base stations (BSs)]. In order to reap the full benefits of the virtualized infrastructure, the NFV technology shall be combined with intelligent mechanisms for handling network resources. Despite the potential benefits presented by MEC, energy consumption is a challenge due to the foreseen dense deployment of BSs empowered with computation capabilities. In the effort to build greener 5G mobile network (MN), we advocate the integration of energy harvesting (EH) into future edge systems

    Algorithms for advance bandwidth reservation in media production networks

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    Media production generally requires many geographically distributed actors (e.g., production houses, broadcasters, advertisers) to exchange huge amounts of raw video and audio data. Traditional distribution techniques, such as dedicated point-to-point optical links, are highly inefficient in terms of installation time and cost. To improve efficiency, shared media production networks that connect all involved actors over a large geographical area, are currently being deployed. The traffic in such networks is often predictable, as the timing and bandwidth requirements of data transfers are generally known hours or even days in advance. As such, the use of advance bandwidth reservation (AR) can greatly increase resource utilization and cost efficiency. In this paper, we propose an Integer Linear Programming formulation of the bandwidth scheduling problem, which takes into account the specific characteristics of media production networks, is presented. Two novel optimization algorithms based on this model are thoroughly evaluated and compared by means of in-depth simulation results

    Data-Driven resource orchestration in sliced 5G Networks

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    En los 煤ltimos a帽os la quinta generaci贸n de comunicaciones m贸viles ha comenzado a desarrollarse. El 5G supone un gran cambio si se compara con las anteriores generaciones de comunicaciones m贸viles, puesto que no se centra meramente en aumentar el ancho de banda, reducir la latencia o mejorar la eficiencia espectral, sino en ofrecer un amplio rango de servicios y aplicaciones, con requisitos muy dispares entre s铆, a una gran variedad de tipos de usuario. Estos objetivos pretenden ser alcanzados empleando nuevas tecnolog铆as: Network Function Virtualization, Software Defined Networks, Network Slicing, Mobile Edge Computing, etc. El objetivo de este Trabajo de Fin de M谩ster es analizar el soporte actual de end-to-end Network Slicing en un entorno 5G Open Source y desarrollar una maqueta 5G con software que admita Network-slicing.In the past few years the fifth generation in mobile communications started to arise. 5G supposes a great change compared with the past mobile communication generations, it doesn鈥檛 aim merely at improving bandwidth, reducing delay or upgrading spectral efficiency but at offering a wide range of services and applications, with huge differentrequirements, to a vast variety of users. These objectives are to be accomplished using new technologies such as: Network Function Virtualization, Software Defined Networks, Network Slicing, Mobile Edge Computing, etc. The objective of this Master Thesisis to analyze the current support for end-to-end Network Slicing in a 5G Open Source environment and to developan open source5GTestbedwith recent Software contributions in Network Slicing.M谩ster Universitario en Ingenier铆a de Telecomunicaci贸n (M125

    Integrated IT and SDN Orchestration of multi-domain multi-layer transport networks

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    Telecom operators networks' management and control remains partitioned by technology, equipment supplier and networking layer. In some segments, the network operations are highly costly due to the need of the individual, and even manual, configuration of the network equipment by highly specialized personnel. In multi-vendor networks, expensive and never ending integration processes between Network Management Systems (NMSs) and the rest of systems (OSSs, BSSs) is a common situation, due to lack of adoption of standard interfaces in the management systems of the different equipment suppliers. Moreover, the increasing impact of the new traffic flows introduced by the deployment of massive Data Centers (DCs) is also imposing new challenges that traditional networking is not ready to overcome. The Fifth Generation of Mobile Technology (5G) is also introducing stringent network requirements such as the need of connecting to the network billions of new devices in IoT paradigm, new ultra-low latency applications (i.e., remote surgery) and vehicular communications. All these new services, together with enhanced broadband network access, are supposed to be delivered over the same network infrastructure. In this PhD Thesis, an holistic view of Network and Cloud Computing resources, based on the recent innovations introduced by Software Defined Networking (SDN), is proposed as the solution for designing an end-to-end multi-layer, multi-technology and multi-domain cloud and transport network management architecture, capable to offer end-to-end services from the DC networks to customers access networks and the virtualization of network resources, allowing new ways of slicing the network resources for the forthcoming 5G deployments. The first contribution of this PhD Thesis deals with the design and validation of SDN based network orchestration architectures capable to improve the current solutions for the management and control of multi-layer, multi-domain backbone transport networks. These problems have been assessed and progressively solved by different control and management architectures which has been designed and evaluated in real evaluation environments. One of the major findings of this work has been the need of developed a common information model for transport network's management, capable to describe the resources and services of multilayer networks. In this line, the Control Orchestration Protocol (COP) has been proposed as a first contriution towards an standard management interface based on the main principles driven by SDN. Furthermore, this PhD Thesis introduces a novel architecture capable to coordinate the management of IT computing resources together with inter- and intra-DC networks. The provisioning and migration of virtual machines together with the dynamic reconfiguration of the network has been successfully demonstrated in a feasible timescale. Moreover, a resource optimization engine is introduced in the architecture to introduce optimization algorithms capable to solve allocation problems such the optimal deployment of Virtual Machine Graphs over different DCs locations minimizing the inter-DC network resources allocation. A baseline blocking probability results over different network loads are also presented. The third major contribution is the result of the previous two. With a converged cloud and network infrastructure controlled and operated jointly, the holistic view of the network allows the on-demand provisioning of network slices consisting of dedicated network and cloud resources over a distributed DC infrastructure interconnected by an optical transport network. The last chapters of this thesis discuss the management and orchestration of 5G slices based over the control and management components designed in the previous chapters. The design of one of the first network slicing architectures and the deployment of a 5G network slice in a real Testbed, is one of the major contributions of this PhD Thesis.La gesti贸n y el control de las redes de los operadores de red (Telcos), todav铆a hoy, est谩 segmentado por tecnolog铆a, por proveedor de equipamiento y por capa de red. En algunos segmentos (por ejemplo en IP) la operaci贸n de la red es tremendamente costosa, ya que en muchos casos a煤n se requiere con guraci贸n individual, e incluso manual, de los equipos por parte de personal altamente especializado. En redes con m煤ltiples proveedores, los procesos de integraci贸n entre los sistemas de gesti贸n de red (NMS) y el resto de sistemas (p. ej., OSS/BSS) son habitualmente largos y extremadamente costosos debido a la falta de adopci贸n de interfaces est谩ndar por parte de los diferentes proveedores de red. Adem谩s, el impacto creciente en las redes de transporte de los nuevos flujos de tr谩fico introducidos por el despliegue masivo de Data Centers (DC), introduce nuevos desaf铆os que las arquitecturas de gesti贸n y control de las redes tradicionales no est谩n preparadas para afrontar. La quinta generaci贸n de tecnolog铆a m贸vil (5G) introduce nuevos requisitos de red, como la necesidad de conectar a la red billones de dispositivos nuevos (Internet de las cosas - IoT), aplicaciones de ultra baja latencia (p. ej., cirug铆a a distancia) y las comunicaciones vehiculares. Todos estos servicios, junto con un acceso mejorado a la red de banda ancha, deber谩n ser proporcionados a trav茅s de la misma infraestructura de red. Esta tesis doctoral propone una visi贸n hol铆stica de los recursos de red y cloud, basada en los principios introducidos por Software Defined Networking (SDN), como la soluci贸n para el dise帽o de una arquitectura de gesti贸n extremo a extremo (E2E) para escenarios de red multi-capa y multi-dominio, capaz de ofrecer servicios de E2E, desde las redes intra-DC hasta las redes de acceso, y ofrecer ademas virtualizaci贸n de los recursos de la red, permitiendo nuevas formas de segmentaci贸n en las redes de transporte y la infrastructura de cloud, para los pr贸ximos despliegues de 5G. La primera contribuci贸n de esta tesis consiste en la validaci贸n de arquitecturas de orquestraci贸n de red, basadas en SDN, para la gesti贸n y control de redes de transporte troncales multi-dominio y multi-capa. Estos problemas (gestion de redes multi-capa y multi-dominio), han sido evaluados de manera incremental, mediante el dise帽o y la evaluaci贸n experimental, en entornos de pruebas reales, de diferentes arquitecturas de control y gesti贸n. Uno de los principales hallazgos de este trabajo ha sido la necesidad de un modelo de informaci贸n com煤n para las interfaces de gesti贸n entre entidades de control SDN. En esta l铆nea, el Protocolo de Control Orchestration (COP) ha sido propuesto como interfaz de gesti贸n de red est谩ndar para redes SDN de transporte multi-capa. Adem谩s, en esta tesis presentamos una arquitectura capaz de coordinar la gesti贸n de los recursos IT y red. La provisi贸n y la migraci贸n de m谩quinas virtuales junto con la reconfiguraci贸n din谩mica de la red, han sido demostradas con 茅xito en una escala de tiempo factible. Adem谩s, la arquitectura incorpora una plataforma para la ejecuci贸n de algoritmos de optimizaci贸n de recursos capaces de resolver diferentes problemas de asignaci贸n, como el despliegue 贸ptimo de Grafos de M谩quinas Virtuales (VMG) en diferentes DCs que minimizan la asignaci贸n de recursos de red. Esta tesis propone una soluci贸n para este problema, que ha sido evaluada en terminos de probabilidad de bloqueo para diferentes cargas de red. La tercera contribuci贸n es el resultado de las dos anteriores. La arquitectura integrada de red y cloud presentada permite la creaci贸n bajo demanda de "network slices", que consisten en sub-conjuntos de recursos de red y cloud dedicados para diferentes clientes sobre una infraestructura com煤n. El dise帽o de una de las primeras arquitecturas de "network slicing" y el despliegue de un "slice" de red 5G totalmente operativo en un Testbed real, es una de las principales contribuciones de esta tesis.La gesti贸 i el control de les xarxes dels operadors de telecomunicacions (Telcos), encara avui, est脿 segmentat per tecnologia, per prove茂dors d鈥檈quipament i per capes de xarxa. En alguns segments (Per exemple en IP) l鈥檕peraci贸 de la xarxa 茅s tremendament costosa, ja que en molts casos encara es requereix de configuraci贸 individual, i fins i tot manual, dels equips per part de personal altament especialitzat. En xarxes amb m煤ltiples prove茂dors, els processos d鈥檌ntegraci贸 entre els Sistemes de gesti贸 de xarxa (NMS) i la resta de sistemes (per exemple, Sistemes de suport d鈥檕peracions - OSS i Sistemes de suport de negocis - BSS) s贸n habitualment interminables i extremadament costosos a causa de la falta d鈥檃dopci贸 d鈥檌nterf铆cies est脿ndard per part dels diferents prove茂dors de xarxa. A m茅s, l鈥檌mpacte creixent en les xarxes de transport dels nous fluxos de tr脿nsit introdu茂ts pel desplegament massius de Data Centers (DC), introdueix nous desafiaments que les arquitectures de gesti贸 i control de les xarxes tradicionals que no estan llestes per afrontar. Per acabar de descriure el context, la cinquena generaci贸 de tecnologia m貌bil (5G) tamb茅 presenta nous requisits de xarxa altament exigents, com la necessitat de connectar a la xarxa milers de milions de dispositius nous, dins el context de l鈥橧nternet de les coses (IOT), o les noves aplicacions d鈥檜ltra baixa lat猫ncia (com ara la cirurgia a dist脿ncia) i les comunicacions vehiculars. Se suposa que tots aquests nous serveis, juntament amb l鈥檃cc茅s millorat a la xarxa de banda ampla, es lliuraran a trav茅s de la mateixa infraestructura de xarxa. Aquesta tesi doctoral proposa una visi贸 hol铆stica dels recursos de xarxa i cloud, basada en els principis introdu茂ts per Software Defined Networking (SDN), com la soluci贸 per al disseny de una arquitectura de gesti贸 extrem a extrem per a escenaris de xarxa multi-capa, multi-domini i consistents en m煤ltiples tecnologies de transport. Aquesta arquitectura de gesti贸 i control de xarxes transport i recursos IT, ha de ser capa莽 d鈥檕ferir serveis d鈥檈xtrem a extrem, des de les xarxes intra-DC fins a les xarxes d鈥檃cc茅s dels clients i oferir a m茅s virtualitzaci贸 dels recursos de la xarxa, obrint la porta a noves formes de segmentaci贸 a les xarxes de transport i la infrastructura de cloud, pels propers desplegaments de 5G. La primera contribuci贸 d鈥檃questa tesi doctoral consisteix en la validaci贸 de diferents arquitectures d鈥檕rquestraci贸 de xarxa basades en SDN capaces de millorar les solucions existents per a la gesti贸 i control de xarxes de transport troncals multi-domini i multicapa. Aquests problemes (gesti贸 de xarxes multicapa i multi-domini), han estat avaluats de manera incremental, mitjan莽ant el disseny i l鈥檃valuaci贸 experimental, en entorns de proves reals, de diferents arquitectures de control i gesti贸. Un dels principals troballes d鈥檃quest treball ha estat la necessitat de dissenyar un model d鈥檌nformaci贸 com煤 per a les interf铆cies de gesti贸 de xarxes, capa莽 de descriure els recursos i serveis de la xarxes transport multicapa. En aquesta l铆nia, el Protocol de Control Orchestration (COP, en les seves sigles en angl猫s) ha estat proposat en aquesta Tesi, com una primera contribuci贸 cap a una interf铆cie de gesti贸 de xarxa est脿ndard basada en els principis b脿sics de SDN. A m茅s, en aquesta tesi presentem una arquitectura innovadora capa莽 de coordinar la gesti贸 de els recursos IT juntament amb les xarxes inter i intra-DC. L鈥檃provisionament i la migraci贸 de m脿quines virtuals juntament amb la reconfiguraci贸 din脿mica de la xarxa, ha estat demostrat amb 猫xit en una escala de temps factible. A m茅s, l鈥檃rquitectura incorpora una plataforma per a l鈥檈xecuci贸 d鈥檃lgorismes d鈥檕ptimitzaci贸 de recursos, capa莽os de resoldre diferents problemes d鈥檃ssignaci贸, com el desplegament 貌ptim de Grafs de M脿quines Virtuals (VMG) en diferents ubicacions de DC que minimitzen la assignaci贸 de recursos de xarxa entre DC. Tamb茅 es presenta una soluci贸 b脿sica per a aquest problema, aix铆 com els resultats de probabilitat de bloqueig per a diferents c脿rregues de xarxa. La tercera contribuci贸 principal 茅s el resultat dels dos anteriors. Amb una infraestructura de xarxa i cloud convergent, controlada i operada de manera conjunta, la visi贸 hol铆stica de la xarxa permet l鈥檃provisionament sota demanda de "network slices" que consisteixen en subconjunts de recursos d鈥檟arxa i cloud, dedicats per a diferents clients, sobre una infraestructura de Data Centers distribu茂da i interconnectada per una xarxa de transport 貌ptica. Els 煤ltims cap铆tols d鈥檃questa tesi tracten sobre la gesti贸 i organitzaci贸 de "network slices" per a xarxes 5G en funci贸 dels components de control i administraci贸 dissenyats i desenvolupats en els cap铆tols anteriors. El disseny d鈥檜na de les primeres arquitectures de "network slicing" i el desplegament d鈥檜n "slice" de xarxa 5G totalment operatiu en un Testbed real, 茅s una de les principals contribucions d鈥檃questa tesi.Postprint (published version

    Network slicing architecture for SDM and analog-radio-over-fiber-based 5G fronthaul networks

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    \u3cp\u3eThe blueSPACE project focuses on the study of innovative technologies to overcome the limitations of current fronthaul networks. The key technology proposed is space-division multiplexing, which makes it possible to increase the capacity available in conventional single-mode fibers, effectively encompassing this capacity to the forecasted bandwidth demands imposed by 5G mobile communications. In this paper, we present the innovative optical fronthaul infrastructure proposed in the project and the tailored extensions to the European Telecommunications Standards Institute network function virtualization management and orchestration architecture for this enhanced infrastructure together with practical implementation considerations.\u3c/p\u3

    WizHaul: On the Centralization Degree of Cloud RAN Next Generation Fronthaul

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    Cloud Radio Access Network (C-RAN) will become a main building block for 5G. However, the stringent requirements of current fronthaul solutions hinder its large-scale deployment. In order to introduce C-RAN widely in 5G, the next generation fronthaul \agsrev{interface} (NGFI) will be based on a cost-efficient packet-based network with higher path diversity. In addition, NGFI shall support a flexible functional split of the RAN to adapt the amount of centralization to the capabilities of the transport network. In this paper we question the ability of standard techniques to route NGFI traffic while maximizing the centralization degree---the goal of C-RAN. We propose two solutions jointly addressing both challenges: (i) a nearly-optimal backtracking scheme, and (ii) a low-complex greedy approach. We first validate the feasibility of our approach in an experimental proof-of-concept, and then evaluate both algorithms via simulations in large-scale (real and synthetic) topologies. Our results show that state-of-the-art techniques fail at maximizing the centralization degree and that the achievable C-RAN centralization highly depends on the underlying topology structure.This work has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 671598 (5G-Crosshaul project) and 761536 (5G-Transformer project)

    Integrating Fronthaul and Backhaul Networks: Transport Challenges and Feasibility Results

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    In Press / En PrensaIn addition to CPRI, new functional splits have been defined in 5G creating diverse fronthaul transport bandwidth and latency requirements. These fronthaul requirements shall be fulfilled simultaneously together with the backhaul requirements by an integrated fronthaul and backhaul transport solution. In this paper, we analyze the technical challenges to achieve an integrated transport solution in 5G and propose specific solutions to address these challenges. These solutions have been implemented and verified with commercially available equipment. Our results confirm that an integrated fronthaul and backhaul transport dubbed Crosshaul can meet all the requirements of 5G fronthaul and backhaul in a cost-efficient manner.Special thanks to the 5G-Crosshaul and 5G-TRANSFORMER team, in particular to Jaime Jose Garcia Reinoso, Chenguang Lu, Daniel Cederholm and Jakub Kocur who helped during the experimentation. This work has been partially funded by the EU H2020 project "5G-TRANSFORMER: 5G Mobile Transport Platform for Verticals" (grant no. 761536)

    Toward a fully cloudified mobile network infrastructure

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    Cloud computing enables the on-demand delivery of resources for a multitude of services and gives the opportunity for small agile companies to compete with large industries. In the telco world, cloud computing is currently mostly used by mobile network operators (MNO) for hosting non-critical support services and selling cloud services such as applications and data storage. MNOs are investigating the use of cloud computing to deliver key telecommunication services in the access and core networks. Without this, MNOs lose the opportunities of both combining this with over-the-top (OTT) and value-added services to their fundamental service offerings and leveraging cost-effective commodity hardware. Being able to leverage cloud computing technology effectively for the telco world is the focus of mobile cloud networking (MCN). This paper presents the key results of MCN integrated project that includes its architecture advancements, prototype implementation, and evaluation. Results show the efficiency and the simplicity that a MNO can deploy and manage the complete service lifecycle of fully cloudified, composed services that combine OTT/IT- and mobile-network-based services running on commodity hardware. The extensive performance evaluation of MCN using two key proof-of-concept scenarios that compose together many services to deliver novel converged elastic, on-demand mobile-based but innovative OTT services proves the feasibility of such fully virtualized deployments. Results show that it is beneficial to extend cloud computing to telco usage and run fully cloudified mobile-network-based systems with clear advantages and new service opportunities for MNOs and end-users
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