Tesis sobre el tema "Beyond 5G Networks"
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D'ANDREA, Carmen. "Massive MIMO Technologies for 5G and Beyond-5G Wireless Networks". Doctoral thesis, Università degli studi di Cassino, 2019. http://hdl.handle.net/11580/84629.
Texto completoALONZO, Mario. "Distributed MIMO Systems for 5G and Beyond-5G Wireless Networks". Doctoral thesis, Università degli studi di Cassino, 2021. http://hdl.handle.net/11580/83801.
Texto completoVALLERO, GRETA. "Green Mobile Networks: from 4G to 5G and Beyond". Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2960753.
Texto completoMursia, Placido. "Multi-antenna methods for scalable beyond-5G access networks". Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS532.
Texto completoThe exponential increase of wireless user equipments (UEs) and network services associated with current 5G deployments poses several unprecedented design challenges that need to be addressed with the advent of future beyond-5G networks and novel signal processing and transmission schemes. In this regard, massive MIMO is a well-established access technology, which allows to serve many tens of UEs using the same time-frequency resources. However, massive MIMO exhibits scalability issues in massive access scenarios where the UE population is composed of a large number of heterogeneous devices. In this thesis, we propose novel scalable multiple antenna methods for performance enhancement in several scenarios of interest. Specifically, we describe the fundamental role played by statistical channel state information (CSI) that can be leveraged for reduction of both complexity and overhead for CSI acquisition, and for multiuser interference suppression. Moreover, we exploit device-to-device communications to overcome the fundamental bottleneck of conventional multicasting. Lastly, in the context of millimiter wave communications, we explore the benefits of the recently proposed reconfigurable intelligent surfaces (RISs). Thanks to their inherently passive structure, RISs allow to control the propagation environment and effectively counteract propagation losses and substantially increase the network performance
Khan, Komal Saif Ullah. "Cooperative Content Caching for 5G and Beyond Mobile Wireless Networks". Thesis, The University of Sydney, 2020. https://hdl.handle.net/2123/22970.
Texto completoEgena, O. "Planning and optimisation of 4G/5G mobile networks and beyond". Thesis, University of Salford, 2018. http://usir.salford.ac.uk/45123/.
Texto completoDjaidja, Taki Eddine Toufik. "Advancing the Security of 5G and Beyond Vehicular Networks through AI/DL". Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCK009.
Texto completoThe emergence of Fifth Generation (5G) and Vehicle-to-Everything (V2X) networks has ushered in an era of unparalleled connectivity and associated services. These networks facilitate seamless interactions among vehicles, infrastructure, and more, providing a range of services through network slices, each tailored to specific requirements. Future generations are even expected to bring further advancements to these networks. However, this remarkable progress also exposes them to a myriad of security threats, many of which current measures struggle to detect and mitigate effectively. This underscores the need for advanced intrusion detection mechanisms to ensure the integrity, confidentiality, and availability of data and services.One area of increasing interest in both academia and industry spheres is Artificial Intelligence (AI), particularly its application in addressing cybersecurity threats. Notably, neural networks (NNs) have demonstrated promise in this context, although AI-based solutions do come with inherent challenges. These challenges can be summarized as concerns about effectiveness and efficiency. The former pertains to the need for Intrusion Detection Systems (IDSs) to accurately detect threats, while the latter involves achieving time efficiency and early threat detection.This dissertation represents the culmination of our research findings on investigating the aforementioned challenges of AI-based IDSs in 5G systems in general and 5G-V2X in particular. We initiated our investigation by conducting a comprehensive review of the existing literature. Throughout this thesis, we explore the utilization of Fuzzy Inference Systems (FISs) and NNs, with a specific emphasis on the latter. We leveraged state-of-the-art NN learning, referred to as Deep Learning (DL), including the incorporation of recurrent neural networks and attention mechanisms. These techniques are innovatively harnessed to making significant progress in addressing the concerns of enhancing the effectiveness and efficiency of IDSs. Moreover, our research delves into additional challenges related to data privacy when employing DL-based IDSs. We achieve this by leveraging and experimenting state-of-the-art federated learning (FL) algorithms
Doanis, Pavlos. "A Deep Reinforcement Learning Framework for Scalable Slice Orchestration in Beyond 5G Networks". Electronic Thesis or Diss., Sorbonne université, 2024. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2024SORUS100.pdf.
Texto completoThis Thesis introduces a flexible Reinforcement Learning queuing-based framework for dynamic slice orchestration in Beyond 5G networks, supporting multiple concurrent slices that span different technological domains and are governed by diverse end-to-end Service Level Agreements. Different (Deep) Reinforcement Learning methods (single or multi-agent) are investigated to address the state and action complexity hurdles arising in such combinatorial problems, which render the use of "vanilla" Reinforcement Learning algorithms impractical. The performance of the proposed schemes is validated through simulations under both synthetic Markovian traffic and real traffic scenarios
Tian, Yue. "Capacity optimisation techniques for multi-user interface mitigation in 5G and beyond wireless networks". Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715836.
Texto completoCabrejas, Peñuelas Jorge. "Distributed cooperative MIMO in beyond 2020 wireless networks". Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/63245.
Texto completo[ES] Los sistemas de comunicaciones móviles están siendo desarrollados en la actualidad con el objetivo de ofrecer tasas de datos de pico hasta 20 veces mayores que las proporcionadas por LTE-Advanced Rel 10. Sin embargo, esta mejora en prestaciones está lejos de ser la experimentada por los usuarios que están lejos de la Estación Base (EB). En este sentido, existe un consenso en que la mejor manera de lograr la misma calidad para todos los usuarios es con el uso de redes heterogéneas formadas de macroceldas, microceldas, femtoceldas y relays. Esta Tesis estudia el uso del Relay Móvil (RM) para proporcionar servicio a usuarios que estén en el borde de la celda. El RM es una extensión natural del relay fijo en el cual los usuarios que están en reposo podrían retransmitir señales recibidas de otros transmisores para mejorar las tasas de datos. Esta Tesis se enfoca en proponer y evaluar nuevas técnicas que gestionen el uso del RM en las redes celulares de nueva generación. En particular, la Tesis estudia el MR desde dos puntos de vista complementarios. El primer punto de vista investiga la gestión del RM a nivel de red a través de un protocolo de señalización conocido como Media Independent Handover. La idea principal de este mecanismo es usar esta señalización para conectar la EB y el usuario en una de las siguientes dos maneras. En la primera, ambas entidades están conectadas directamente a través de la red inalámbrica xG (x=2, 3, 4, 5). En la segunda, existe una conexión xG entre la EB y el RM, y otra entre el RM y el usuario a través de una red inalámbrica local IEEE 802.11. Las investigaciones en esta Tesis buscan un compromiso entre usar múltiples RMs y reducir la carga de señalización. El segundo punto de vista trata de la integración del RM a nivel radio. Esto consiste en detectar, proponer y evaluar nuevas técnicas de transmisión que solucionen los inconvenientes derivados de la detección coherente. Como en los sistemas punto a punto, emplear múltiples antenas en un sistema cooperativo puede mejorar la efficiencia espectral respecto a los sistemas con una única antena transmisora asumiendo que el estado del canal está disponible en el receptor. Sin embargo, realizar una detección coherente en una red asistida con relays consume más recursos que una red punto a punto ya que la detección coherente requiere la estimación de canal de los enlaces fuente-relay, relay-destino y fuente-destino. La solución propuesta es usar técnicas de transmisión que no necesiten el conocimiento del canal para realizar la detección. Esta Tesis evalúa el uso de métodos de comunicación en lazo abierto a un único usuario sobre canales MIMO con desvanecimientos Rayleigh temporalmente correlados. Por otra parte, en sistemas multiportadora, se propone transmitir la Señalización Grassmannian (SG) en el bloque virtual formado por el tiempo de coherencia y el ancho de banda de coherencia. Esta propuesta se debe al hecho de que la SG alcanza tasas de datos cercanas a la capacidad en canales block-fading. Sin embargo, este tipo de canal no es común en sistemas reales puesto que la correlación del canal se encuentra a menudo en frecuencia, tiempo y espacio. Por esta razón, el siguiente objetivo es evaluar las prestaciones de la SG comparadas con los modos de transmisión de diversidad de LTE, analizando el impacto de la movilidad del usuario y la correlación de las antenas. Gracias a estas investigaciones, apuntamos que los sistemas no coherentes son técnicas prometedoras en escenarios con movilidad y un alto número de antenas transmisoras. En escenarios no coherentes multiusuario del enlace descendente, se propone utilizar superposition coding y un esquema de detección subóptimo que reduce la complejidad respecto a la detección de máxima verosimilitud. Finalmente, se propone que la SG sea transmitida en una nueva portadora donde ninguna señal de referencia se transmita. De esta forma, el usuar
[CAT] Els sistemes de comunicacions mòbils estan sent desenrotllats en l'actualitat amb l'objectiu d'oferir taxes de dades de pic fins a 20 vegades majors que les proporcionades per LTE-Advanced Rel 10. No obstant això, esta millora en prestacions està lluny de ser l'experimentada pels usuaris que estan lluny de l'Estació Base (EB). En este sentit, hi ha un consens en què la millor manera d'aconseguir la mateixa qualitat per a tots els usuaris és amb l'ús de xarxes heterogènies formades de macrocel·les, microcel·les, femtoceldas i relays. Esta Tesi estudia l'ús del Relay Mòbil (RM) per a proporcionar servici a usuaris que estiguen en el bord de la cel·la. El RM és una extensió natural del relay fix en el qual els usuaris que estan en repòs podrien retransmetre senyals rebudes d'altres transmissors per a millorar les taxes de dades. Esta Tesi s'enfoca a proposar i avaluar noves tècniques que gestionen l'ús del RM en les xarxes cel·lulars de nova generació. En particular, la Tesi estudia el MR des de dos punts de vista complementaris. El primer punt de vista investiga la gestió del RM a nivell de xarxa a través d'un protocol de senyalització conegut com Media Independent Handover. La idea principal d'este mecanisme és usar esta senyalització per a connectar l'EB i l'usuari en una de les següents dos maneres. En la primera, ambdós entitats estan connectades directament a través de la xarxa sense fil xG (x=2, 3, 4, 5) . En la segona, hi ha una connexió xG entre l'EB i el RM, i una altra entre el RM i l'usuari a través d'una xarxa sense fil local IEEE 802.11. Les investigacions en esta Tesi busquen un compromís entre usar múltiples RMs i reduir la càrrega de senyalització. El segon punt de vista tracta de la integració del RM a nivell ràdio. Açò consistix a detectar, proposar i avaluar noves tècniques de transmissió que solucionen els inconvenients derivats de la detecció coherent. Com en els sistemes punt a punt, emprar múltiples antenes en un sistema cooperatiu pot millorar l'efficiencia espectral respecte als sistemes amb una única antena transmissora assumint que l'estat del canal està disponible en el receptor. No obstant això, realitzar una detecció coherent en una xarxa assistida amb relays consumix més recursos que una xarxa punt a punt ja que la detecció coherent requerix l'estimació de canal dels enllaços font-relay, relay-destí i font-destí. La solució proposada és usar tècniques de transmissió que no necessiten el coneixement del canal per a realitzar la detecció. Esta Tesi avalua l'ús de mètodes de comunicació en llaç obert a un únic usuari sobre canals MIMO amb esvaïments Rayleigh temporalment correlats. D'altra banda, en sistemes multiportadora, es proposa transmetre la Senyalització Grassmannian (SG) en el bloc virtual format pel temps de coherència i l'amplada de banda de coherència. Esta proposta es deu al fet de que la SG aconseguix taxes de dades pròximes a la capacitat en canals block-fading. No obstant això, este tipus de canal no és comú en sistemes reals ja que la correlació del canal es troba sovint en freqüència, temps i espai. Per esta raó, el següent objectiu és avaluar les prestacions de la SG comparades amb els modes de transmissió de diversitat de LTE, analitzant l'impacte de la mobilitat de l'usuari i la correlació de les antenes. Gràcies a estes investigacions, apuntem que els sistemes no coherents són tècniques prometedores en escenaris amb mobilitat i un alt nombre d'antenes transmissores. En escenaris no coherents multiusuari de l'enllaç descendent, es proposa utilitzar superposition coding i un esquema de detecció subòptim que reduïx la complexitat respecte a la detecció de màxima versemblança. Finalment, es proposa que la SG siga transmesa en una nova portadora on cap senyal de referència es transmeta. D'esta manera, l'usuari canviaria el seu mètode de detecció a no coherent.
Cabrejas Peñuelas, J. (2016). Distributed cooperative MIMO in beyond 2020 wireless networks [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/63245
TESIS
Alavi, Seyedeh Faezeh. "Resource allocation techniques for non-orthogonal multiple access scheme for 5G and beyond wireless networks". Thesis, University of York, 2018. http://etheses.whiterose.ac.uk/22230/.
Texto completoShrivastava, Rudraksh. "SDN-based flexible resource management and service-oriented virtualization for 5G mobile networks and beyond". Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/17941/.
Texto completoKhizar, Sadia. "Metrology for 5G edge networks (MEC). Leveraging mobile devices beyond the edge toward task offloading". Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS069.
Texto completoThe pervasiveness of mobile devices equipped with internet connectivity and positioning systems leads us to regard them as a valuable resource to leverage. In this thesis, we tackle the use of mobile devices from a new perspective. We consider the extension of the capacity of the MEC by using the available resources of mobile devices beyond the edge of the infrastructure network. The goal is to leverage their untapped resources to process computation on behalf of the MEC in a distributed way. It is fundamental for the MEC to be aware of its operating environment to rely on mobile nodes. In the first part of the thesis, we have focused on the temporal availability of beyond-the-edge resources. We chose to investigate the co-location of terminals and analyze their persistence in a cell. Then, we turn our attention to task allocation. We shift the focus on the spatio-temporal aspect by quantifying the resources that a cell can provide to perform a MEC task. We estimate the potential amount of computational tasks performed by nodes based on the cumulative presence time in a given cell and a given completion delay. Results provide insight into the possibilities of offloading computing tasks on mobile nodes. Furthermore, it allows knowing the locations where it is advisable to offload tasks and the time duration of tasks offloadable
Ashraf, M. I. (Muhammad Ikram). "Radio resource management in device-to-device and vehicle-to-vehicle communication in 5G networks and beyond". Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526224626.
Texto completoTiivistelmä Tulevaisuuden solukkoverkkojen pitää pystyä tukemaan yhä suurempaa kaistanleveyttä vaativia sovelluksia sekä yhteyksiä ihmisten, laitteiden ja ajoneuvojen välillä. Piensoluverkkoihin (SCN) pohjautuvaa tietoliikennettä yhdistettynä paikka- ja sosiaalisen tietoisuuden huomioiviin verkkoratkaisuihin pidetään yhtenä elintärkeänä osana tulevaisuuden solukkoverkkoja, joilla pyritään tehostamaan spektrinkäytön tehokkuutta, järjestelmän kapasiteettia sekä kokemuksen laatua (QoE). Radioresurssien hallinta (RRM) on eräs keskeisistä viidennen sukupolven (5G) verkkoihin liittyvistä tutkimusalueista, joilla pyritään hallitsemaan heterogeenisen ekosysteemin vaihtelevia sovellustarpeita. Tämän väitöstyön keskeisinä tavoitteina on kehittää uudenlaisia itseorganisoituvia ja vähäisen kompleksisuuden resurssienhallinta-algoritmeja laitteesta-laitteeseen (D2D) ja ajoneuvosta-ajoneuvoon (V2V) toimiville uusille langattomille järjestelmille, sekä samalla mallintaa ja tuottaa verkon kontekstikohtaista tietoa vastaamaan koko ajan tiukentuviin vaatimuksiin. Tämä väitöskirja edistää näiden tavoitteiden saavuttamista usealla keskeisellä tuloksella. Aluksi väitöstyössä keskitytään häiriönhallinnan tekniikoihin D2D:tä tukevissa makroverkoissa ja laskevan siirtotien piensoluverkoissa. Käyttäjän sosiaalisia yhteyksiä, dynaamisia ryhmiä sekä osallistamismekanismeja hyödynnetään verkon kapasiteetin maksimointiin. Verkon kapasiteettia voidaan kasvattaa käyttämällä joustavaa sosiaaliseen tietoisuuteen perustuvaa osallistamista. Toinen merkittävä tulos keskittyy huippuluotettavaan lyhyen viiveen kommunikaatioon (URLLC) ajoneuvojen verkoissa, joissa tehtävää resurssien allokointia ja häiriönhallintaa tutkitaan liikenteen ja verkon dynamiikka huomioiden. Yhteistä tehonsäädön ja resurssien allokoinnin mekanismia ehdotetaan kokonaislähetystehon minimoimiseksi samalla, kun URLLC rajoitteita noudatetaan. Jotta esitettyihin haasteisiin voidaan vastata, väitöstyössä on kehitetty uudenlaisia algoritmeja yhdistämällä graafi- ja sovitusteorioiden sekä Lyapunovin optimoinnin menetelmiä. Laajat tietokonesimuloinnit vahvistavat ehdotettujen lähestymistapojen suorituskyvyn, joka on parempi kuin uusimmilla nykyisillä ratkaisuilla. Tulokset tuovat merkittäviä suorituskyvyn parannuksia erityisesti kapasiteetin lisäämisen, viiveiden vähentämisen ja parantuneen luotettavuuden suhteen verrattuna perinteisiin lähestymistapoihin
Hamza, Anis Amazigh. "Improving cooperative non-orthogonal multiple access (CNOMA) and enhancing the physical layer security (PLS) for beyond 5G (B5G) and future eHealth wireless networks". Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2023. http://www.theses.fr/2023UPHF0006.
Texto completoThe fifth generation of cellular networks (5G) was a real revolution in radio access technologies and mobile networks, presenting itself as the breakthrough generation that allowed the coexistence of extremely diversified applications and usage scenarios, unified under the same standard. Nevertheless, 5G is just the beginning: new scenarios and challenges are emerging. Therefore, the research community is pushing the research ahead and preparing the ground for beyond 5G (B5G) cellular systems. In this regard, several enabling technologies are investigated. In addition to the cognitive radio (CR), mmWave, massive MIMO, or even the use of full-duplex (FD), non-orthogonal multiple access (NOMA) emerged as a promising technology that allows multiple users to share the same resource block and hence, optimizes resource allocation, reduces the end-to-end latency, and improves both spectrum and energy efficiencies. Those advantages make NOMA a serious candidate as a multiple access scheme for future B5G networks, especially for the demanding eHealth applications. Furthermore, NOMA can be flexibly combined with any wireless technology such as cooperative communication, FD, mmWave, and multicarrier modulation (MCM).Motivated by this treatise, this thesis provides a comprehensive and intensive examination of this emerging technology, particularly, cooperative NOMA (CNOMA) which is considered a promising enabling technology for future B5G eHealth networks, from the basic principles to its combination with the full-duplex technology, MCM transmission, to deep learning as well as enhancing the physical layer security (PLS).First, this thesis investigates the error rate performance of FD-CNOMA systems over wireless fading channels. New closed-form expressions of the exact bit error rates (BER) are derived. Moreover, high-SNR analyses are conducted, which reveals that FD-CNOMA has an error floor due to the successive interference cancellation (SIC) imperfections and residual self-interference (RSI). Based on the derived expressions, a novel selective relaying scheme is proposed to opportunistically improve the system performance using the minimal channel state information (CSI) overhead.Second, the MCM-based CNOMA is examined under doubly selective channels encountered in vehicular and railway wireless communications. In the eHealth context, this can be projected to ambulance emergency healthcare use cases. More importantly, this thesis presents a performance improvement method for cell-edge users of MCM-NOMA systems with imperfect SIC and imperfect CSI under doubly selective wireless channels. Two efficient iterative interference cancellation schemes are proposed to enable user relaying for MCM-based CNOMA. The proposed schemes are robust for high mobility scenarios with a relatively low computational complexity.Third and last, advances in machine learning based on deep neural networks (DNNs) attracted great attention in the wireless communication community (WCS). It is regarded as a key component of B5G networks. Deep learning has found a broad range of applications in wireless systems, e.g., spectrum sensing, waveform design, SIC, and channel estimation. However, DNNs are known to be highly susceptible to adversarial attacks. Many robust over-the-air adversarial attacks against DNN-based WCS have been proposed in the literature. This is becoming a major challenge facing the physical layer security (PLS) of DNN-based WCS. To overcome this vulnerability, this thesis proposes a novel robust defense approach. The objective of our defense is to protect the victim without significantly degrading the accuracy of its baseline model in the absence of the attack. The obtained results are very promising and confirm that the proposed defense technique can enhance significantly the PLS of future DNN-based WCS
Hmamouche, Yassine. "Applications of stochastic geometry in the modeling and analysis of wireless networks". Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2020. http://www.theses.fr/2020IMTA0212.
Texto completoNext generation wireless networks, i.e., fifth generation (5G) and beyond (B5G), are expected to be highly heterogeneous, multilayered, with embedded intelligence at both thecore and edge of the network. In such a context, system-level performance evaluation will be very important to formulate relevant insights into tradeoffs that govern such a complex system and then prevent the need for onerous and timeconsuming computer simulations. Over the past decade, stochastic geometry has emerged as a powerful analytical tool to evaluate system-level performance of wireless networks and capture their tendency towards heterogeneity. This dissertation reviews first novel stochastic geometry models and techniques developed during the last decade in modeling and analysis of modern wireless networks. The discussions are refined enough to be accessible for non-specialist readers and help new, intermediate, or advanced readers familiarize quickly with this field of research. Next, we leverage stochastic geometry frameworks to investigate several aspects of 5G and B5G wireless networks and then illustrate its mathematical flexibility and ability to capture the analysis of the rather unconventional scenarios. Also, new perspectives that will breathe new life into the use of stochastic geometry during this crucial decade are discussed. In a nutshell, extensive discussions were held on broader topics such as free space (FSO) optical communications, visible light communications, unmanned aerial vehicle systems, fog radio access architecture (F-RAN) , artificial intelligence and machine learning, and molecular communications
Sanguanpuak, T. (Tachporn). "Radio resource sharing with edge caching for multi-operator in large cellular networks". Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526221564.
Texto completoTiivistelmä Tämän väitöskirjan tavoitteena on tuottaa uusia paradigmoja radioresurssien jakoon, mukaan lukien virtualisoidut välimuisti-kykenevät suuret matkapuhelinverkot matkapuhelinoperaattoreille. Näiden kaltaisissa verkoissa operaattorit vuokraavat radioresursseja infrastruktuuritoimittajalta (InP, infrastructure provider) asiakkaiden tarpeisiin. Toimintakulujen karsiminen ja samanaikainen olemassa olevien verkkoresurssien hyötykäytön huomattava kasvattaminen johtaa paradigmaan, jossa operaattorit jakavat infrastruktuurinsa keskenään. Tämän vuoksi työssä tutkitaan teoreettisia stokastiseen geometriaan perustuvia malleja spektrin ja infrastruktuurin jakamiseksi suurissa soluverkoissa. Työn ensimmäisessä osassa tutkitaan ei-ortogonaalista monioperaattori-allokaatioongelmaa pienissä soluverkoissa tavoitteena maksimoida verkon yleistä läpisyöttöä, joka määritellään operaattoreiden painotettuna summaläpisyötön odotusarvona. Jokaisen operaattorin oletetaan palvelevan useampaa piensolutukiasemaa (SBS, small cell base station). Työssä käytetään monelta yhdelle -vakaata sovituspeli-viitekehystä SBS:lle käyttäen Q-oppimista. Työn toisessa osassa mallinnetaan ja analysoidaan infrastruktuurin jakamista yhden ostaja-operaattorin ja monen myyjä-operaattorin tapauksessa. Operaattorien oletetaan toimivan omilla lisensoiduilla taajuuksillaan jakaen tukiasemat keskenään. Myyjän optimaalinen strategia infrastruktuurin myytävän osan suuruuden ja hinnan suhteen saavutetaan laskemalla Cournot-Nash -olipologipelin tasapainotila. Lopuksi, työssä kehitetään peli-teoreettinen viitekehys virtualisoitujen välimuistikykenevien soluverkkojen mallintamiseen ja analysointiin, missä InP:n omistama verkkoinfrastruktuuri vuokrataan ja jaetaan monen operaattorin kesken. Työssä muodostetaan Stackelberg-pelimalli, jossa InP toimii johtajana ja operaattorit seuraajina. InP pyrkii maksimoimaan voittonsa optimoimalla infrastruktuurin vuokrahintaa. Operaattori pyrkii minimoimaan infrastruktuurin hinnan minimoimalla välimuistin tiheyttä satunnaisen käyttäjän viive-ehtojen mukaisesti. Koska operaattorit jakavat vuokratun infrastruktuurin, työssä käytetään yhteistyöpeli-ajatusta, nimellisesti, Shapleyn arvoa, jakamaan kustannuksia operaatoreiden kesken
Arora, Sagar. "Cloud Native Network Slice Orchestration in 5G and Beyond". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS278.
Texto completoNetwork Function Virtualization (NFV) is the founding pillar of 5G Service Based Architecture. It has the potential to revolutionize the future mobile communication generations. NFV started long back in 2012 with Virtual-Machine (VM) based Virtual Network Functions (VNFs). The use of VMs raised multiple questions because of the compatibility issues between VM hypervisors and their high resource consumption. This made containers to be an alternative network function packaging technology. The lightweight design of containers improves their instantiation time and resource footprints. Apart from network functions, containerization can be a promising enabler for Multi-access Edge Computing (MEC) applications that provides a home to low-latency demanding services. Edge computing is one of the key technology of the last decade, enabling several emerging services beyond 5G (e.g., autonomous driving, robotic networks, Augmented Reality (AR)) requiring high availability and low latency communications. The resource scarcity at the edge of the network requires technologies that efficiently utilize computational, storage, and networking resources. Containers' low-resource footprints make them suitable for designing MEC applications. Containerization is meant to be used in the framework of cloud-native application design fundamentals, loosely coupled microservices-based architecture, on-demand scalability, and high resilience. The flexibility and agility of containers can certainly benefit 5G Network Slicing that highly relies on NFV and MEC. The concept of Network slicing allows the creation of isolated logical networks on top of the same physical network. A network slice can have dedicated network functions or its network functions can be shared among multiple slices. Indeed, network slice orchestration requires interaction with multiple technological domain orchestrators, access, transport, core network, and edge computing. The paradigm shift of using cloud-native application design principles has created challenges for legacy orchestration systems and the ETSI NFV and MEC standards. They were designed for handling virtual machine-based network functions, restricting them in their approach to managing a cloud-native network function. The thesis examines the existing standards of ETSI NFV, ETSI MEC, and network service/slice orchestrators. Aiming to overcome the challenges around multi-domain cloud-native network slice orchestration. To reach the goal, the thesis first proposes MEC Radio Network Information Service (RNIS) that can provide radio information at the subscriber level in an NFV environment. Second, it provides a Dynamic Resource Allocation and Placement (DRAP) algorithm to place cloud-native network services considering their cost and availability matrix. Third, by combining NFV, MEC, and Network Slicing, the thesis proposes a novel Lightweight edge Slice Orchestration framework to overcome the challenges around edge slice orchestration. Fourth, the proposed framework offers an edge slice deployment template that allows multiple possibilities for designing MEC applications. These possibilities were further studied to understand the impact of the microservice design architecture on application availability and latency. Finally, all this work is combined to propose a novel Cloud-native Lightweight Slice Orchestration (CLiSO) framework extending the previously proposed Lightweight edge Slice Orchestration (LeSO) framework. In addition, the framework offers a technology-agnostic and deployment-oriented network slice template. The framework has been thoroughly evaluated via orchestrating OpenAirInterface container network functions on public and private cloud platforms. The experimental results show that the framework has lower resource footprints than existing orchestrators and takes less time to orchestrate network slices
Menafra, Valentina Francesca. "Advanced business models for beyond 5G and 6G network architectures". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23835/.
Texto completoBen, Saad Sabra. "Security architectures for network slice management for 5G and beyond". Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS023V2.pdf.
Texto completoNetwork slicing architecture, enabled by new technologies such as Network Functions Virtualization (NFV) and Software-Defined Networking (SDN), is one of the main pillars of Fifth-generation and Beyond (B5G). In B5G settings, the number of coexisting slices with varying degrees of complexity and very diverse lifespans, resource requirements, and performance targets is expected to explode. This creates significant challenges towards zero-touch slice management and orchestration, including security, fault management, and trust. In addition, network slicing opens the business market to new stakeholders, namely the vertical or tenant, the network slice provider, and the infrastructure provider. In this context, there is a need to ensure not only a secure interaction between these actors, but also that each actor delivers the expected service to meet the network slice requirements. Therefore, new trust architectures should be designed, which are able to identify/detect the new forms of slicing-related attacks in real-time, while securely and automatically managing Service Level Agreements (SLA) among the involved actors. In this thesis, we devise new security architectures tailored to network slicing ready networks (B5G), heavily relying on blockchain and Artificial Intelligence (AI) to enable secure and trust network slicing management
Ghaffari, Fariba. "A novel blockchain-based architecture for mobile network operators : Beyond 5G". Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAS009.
Texto completoWhile the existing centralized and stand-alone architecture of Mobile Network Operators (MNO) provides connectivity to billions of users, they suffer from a lack of technical mechanisms to enhance collaboration between MNOs and other providers.This has impacts on mutualization costs, as well as on energy consumption and environmental impact. This may also prevent the advent of more collaborative business models with other providers or even with customers. Moreover, the complexity of 5G and beyond 5G networks may surpass the capability of one MNO to manage the cost and the complexity of connection. Finally, existing MNO architectures also suffer from their centralization, resulting in several technical issues and vulnerabilities.Addressing these challenges is not a straightforward journey. MNO architectures have been defined for nearly three decades by well-established standardization bodies. However, we believe there is an interest in proposing to the telecom research community a clean-slate approach. Such alternative solutions need to -at least- have a distributed/ decentralized ecosystem, provide trustworthiness between actors in the distrusted environment, share the resources among stakeholders, bring higher automation, and provide sufficient security and privacy. Any alternative addressing these requirements would be a promising potential solution.Blockchain is a peer-to-peer distributed ledger, cryptographically secure, append-only, immutable, traceable, and transparent technology that is only updateable via consensus among a majority of the participating nodes on the network. Due to its intrinsic features, Blockchain, and smart contracts can decrease the cost, latency, and complexity of collaboration among entities in multi-actor cellular network while increasing the trustworthiness, traceability, and supervision abilities.This work proposes a multi-actor mobile connectivity system that provides a distributed, trustful, automated, low-cost, and secure solution for the entities and actors of the cellular network ecosystem. To do so, this work provides at first a comprehensive study of the existing challenges in current cellular networks regarding business and collaboration aspects, technical issues, and security. The results of these studies have led us to propose two main contributions, one regarding the cooperation among different actors of the cellular network ecosystem (i.e., MNOs, service providers, small-scale businesses, vendors, and end-users) and another for collaboration among MNOs (and potentially with regulation bodies) for identity and profile management.More precisely, the first contribution proposes a novel hybrid (distributed-decentralized) telecommunication ecosystem to shape the beyond 5G and 6G network design. This method provides the opportunity to eliminate any central authority, increase the fault tolerance of the system, simplifies IT procedures, and provide secure payment among entities.The second contribution introduces a new user profile management and mobile number and profile porting on top of Blockchain and smart contracts. This method aims to eliminate the central authority in the porting procedure by creating a more collaborative and distributed system to this aim, increase automation and trustfulness, and address the high latency of the existing method for porting the MNOs. Moreover, it brings the opportunity of porting the users' profiles to the recipient MNO as well as the phone number with an automated procedure without a centralized authority or third parties.To evaluate the proposed system and analyze its implementation feasibility, we proposed three deployment scenarios in which the Blockchain can be logically positioned either in RAN, core network, or service layer. The evaluation results show that the system is scalable enough regarding the number of actors and collaborators, and based on the network requirements, its performance and security level are adjustable
MORSELLI, Flavio. "Location Awareness in 5G and B5G Ecosystems: Characterization, Design, and Experimentation". Doctoral thesis, Università degli studi di Ferrara, 2022. http://hdl.handle.net/11392/2490978.
Texto completoTello, Oquendo Luis Patricio. "Design and Performance Analysis of Access Control Mechanisms for Massive Machine-to-Machine Communications in Wireless Cellular Networks". Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/107946.
Texto completoNowadays, Internet of Things (IoT) is an essential technology for the upcoming generation of wireless systems. Connectivity is the foundation for IoT, and the type of access required will depend on the nature of the application. One of the leading facilitators of the IoT environment is machine-to-machine (M2M) communication, and particularly, its tremendous potential to offer ubiquitous connectivity among intelligent devices. Cellular networks are the natural choice for emerging IoT and M2M applications. A major challenge in cellular networks is to make the network capable of handling massive access scenarios in which myriad devices deploy M2M communications. On the other hand, cellular systems have seen a tremendous development in recent decades; they incorporate sophisticated technology and algorithms to offer a broad range of services. The modeling and performance analysis of these large multi-service networks is also a challenging task that might require high computational effort. To address the above challenges, we first concentrate on the design and performance evaluation of novel access control schemes to deal with massive M2M communications. Then, we focus on the performance evaluation of large multi-service networks and propose a novel analytical technique that features accuracy and computational efficiency. Our main objective is to provide solutions to ease the congestion in the radio access or core network when massive M2M devices try to connect to the network. We consider the following two types of scenarios: (i) massive M2M devices connect directly to cellular base stations, and (ii) they form clusters and the data is forwarded to gateways that provide them with access to the infrastructure. In the first scenario, as the number of devices added to the network is constantly increasing, the network should handle the considerable increment in access requests. Access class barring (ACB) is proposed by the 3rd Generation Partnership Project (3GPP) as a practical congestion control solution in the radio access and core network. The proper tuning of the ACB parameters according to the traffic intensity is critical, but how to do so dynamically and autonomously is a challenging task that has not been specified. Thus, this dissertation contributes to the performance analysis and optimal design of novel algorithms to implement effectively this barring scheme and overcome the challenges introduced by massive M2M communications. In the second scenario, since the heterogeneity of IoT devices and the hardware-based cellular architectures impose even greater challenges to enable flexible and efficient communication in 5G wireless systems, this dissertation also contributes to the design of software-defined gateways (SD-GWs) in a new architecture proposed for wireless software-defined networks called SoftAir. The deployment of these SD-GWs represents an alternative solution aiming at handling both a vast number of devices and the volume of data they will be pouring into the network. Another contribution of this dissertation is to propose a novel technique for the performance analysis of large multi-service networks. The underlying complexity of the network, particularly concerning its size and the ample range of configuration options, makes the solution of the analytical models computationally costly. However, a typical characteristic of these networks is that they support multiple types of traffic flows operating at different time-scales. This time-scale separation can be exploited to reduce considerably the computational cost associated to determine the key performance indicators. Thus, we propose a novel analytical modeling approach based on the transient regime analysis, that we name absorbing Markov chain approximation (AMCA). For a given computational cost, AMCA finds common performance indicators with greater accuracy, when compared to the results obtained by other approximate methods proposed in the literature.
En l'actualitat, la Internet de les Coses (Internet of Things, IoT) és una tecnologia essencial per a la propera generació de sistemes sense fil. La connectivitat és la base d'IoT, i el tipus d'accés requerit dependrà de la naturalesa de l'aplicació. Un dels principals facilitadors de l'entorn IoT és la comunicació machine-to-machine (M2M) i, en particular, el seu enorme potencial per oferir connectivitat ubiqua entre dispositius intel · ligents. Les xarxes mòbils són l'elecció natural per a les aplicacions emergents de IoT i M2M. Un desafiament important en les xarxes mòbils que actualment está rebent molta atenció és aconseguir que la xarxa siga capaç de gestionar escenaris d'accés massiu en què una gran quantitat de dispositius utilitzen comunicacions M2M. D'altra banda, els sistemes mòbils han experimentat un gran desenvolupament en les últimes dècades: incorporen tecnologia sofisticada i nous algoritmes per oferir una àmplia gamma de serveis. El modelatge i análisi del rendiment d'aquestes xarxes multiservei és també un desafiament important que podria requerir un gran esforç computacional. Per abordar els desafiaments anteriors, en aquesta tesi doctoral ens centrem en primer lloc en el disseny i l'avaluació de les prestacions de nous mecanismes de control d'accés per fer front a les comunicacions massives M2M en xarxes cel · lulars. Posteriorment ens ocupem de l'avaluació de prestacions de xarxes multiservei i proposem una nova tècnica analítica que ofereix precisió i eficiència computacional. El nostre principal objectiu és proporcionar solucions per a alleujar la congestió a la xarxa d'accés ràdio quan un gran nombre de dispositius M2M intenten connectar-se a la xarxa. Considerem els dos tipus d'escenaris següents: (i) els dispositius M2M es connecten directament a les estacions base cel · lulars, i (ii) formen grups i les dades s'envien a concentradors de trànsit (gateways) que els proporcionen accés a la infraestructura. En el primer escenari, atès que el nombre de dispositius afegits a la xarxa augmenta contínuament, aquesta hauria de ser capaç de gestionar el considerable increment en les sol · licituds d'accés. El 3rd Generation Partnership Project (3GPP) ha proposat l'access class barring (ACB) com una solució pràctica per al control de congestió a la xarxa d'accès ràdio i la xarxa troncal. L'ajust correcte dels paràmetres d'ACB d'acord amb la intensitat del trànsit és crític, però com fer-ho de forma dinàmica i autònoma és un problema complex, la solució del qual no està recollida en les especificacions del 3GPP. Aquesta tesi doctoral contribueix a l'anàlisi del rendiment i al disseny de nous algoritmes que implementen efectivament aquest mecanisme, i així superar els desafiaments introduïts per les comunicacions massives M2M en les xarxes mòbils actuals i futures. En el segon escenari, atès que l'heterogeneïtat dels dispositius IoT i les arquitectures cel · lulars basades en hardware imposen desafiaments encara més grans per permetre una comunicació flexible i eficient en els sistemes sense fil 5G, aquesta tesi doctoral també contribueix al disseny de software-defined gateways (SD-GWS) en una nova arquitectura proposada per a xarxes sense fils definides per programari que s'anomena SoftAir. Això permet gestionar tant un gran nombre de dispositius com el volum de dades que estaran abocant a la xarxa. Una altra contribució d'aquesta tesi doctoral és la proposta d'una tècnica innovadora per a l'anàlisi de prestacions de xarxes multiservei d'alta capacitat que es basa en un nou enfocament del modelitzat analític de sistemes que operen a diferents escales temporals. Aquest enfocament utilitza l'anàlisi del transitori d'una sèrie de subcadenes absorbents i l'anomenem absorbing Markov chain Approximation (AMCA). Els nostres resultats mostren que per a un cost computacional donat, AMCA calcula els paràmetres de prestacions habituals d
Tello Oquendo, LP. (2018). Design and Performance Analysis of Access Control Mechanisms for Massive Machine-to-Machine Communications in Wireless Cellular Networks [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/107946
TESIS
Alheadary, Wael. "Free Space Optics for 5G Backhaul Networks and Beyond". Diss., 2018. http://hdl.handle.net/10754/628070.
Texto completoZhou, Xiaohui. "Integrating Drones and Wireless Power Transfer into Beyond 5G Networks". Phd thesis, 2019. http://hdl.handle.net/1885/164934.
Texto completoMartiradonna, Sergio. "Simulation Models and Advanced Management Techniques for 5G & Beyond Radio Access Networks". Doctoral thesis, 2022. http://hdl.handle.net/11589/232750.
Texto completo5th Generation (5G) is providing a significant transformation in the mobile network landscape. It introduces flexible and heterogeneous capabilities to harmoniously blend numerous technical components since a variety of advanced services are being developed, each one entailing different requirements. For this reason, 5G does not have a single air interface, but rather a family of air interfaces to adequately address specific use cases, all plugged into a common framework. Nonetheless, the effective management of such a broad diversity is an extremely ambitious goal to accomplish. To this end, this work pursues the goal of investigating several cutting-edge management techniques and simulation models for 5G & Beyond Radio Access Networks (RANs). Specifically, this thesis presents an open-source system-level tool to model the key elements of the 5G RAN and support the performance analysis of reference scenarios. Moreover, it examines NarrowBand IoT (NB-IoT), which is usually regarded as a promising radio access technology to meet the requirements of the 5G & Beyond development for the Internet of Things (IoT). Finally, it addresses the RAN Slicing problem leveraging Edge Computing and Artificial Intelligence (AI), which promise to turn future mobile networks into service- and radio-aware infrastructures.
Randrianantenaina, Itsikiantsoa. "SPECTRUM MANAGEMENT FOR FUTURE GENERATIONS OF CELLULAR NETWORKS". Diss., 2019. http://hdl.handle.net/10754/656380.
Texto completoKAUR, MANPREET. "PERFORMANCE ANALYSIS OF 5G AND BEYOND WIRELESS SYSTEMS". Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19762.
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