5 research outputs found
Implementação de serviços em ambientes multi-access edge computing
Driven by the visions of the 5th Generation of Mobile Networks (5G), and with
an increasing acceptance of software-based network technologies, such as
Network Function Virtualization (NFV) and Software Defined Networks (SDN),
a transformation in network infrastructure is presently taking place, along with
different requirements in terms of how networks are managed and deployed.
One of the significantly changes is a shift in the cloud computing paradigm,
moving from a centralized cloud computing towards the edge of the network.
This new environment, providing a cloud computing platform at the edge of
the network, is referred to as Multi-Acess Edge Computing (MEC). The main
feature of MEC is to provide mobile computing, network control and storage to
the network edges, enabling computation-intensive and latency-critical applications
targeting resource-limited mobile devices. In this thesis a MEC architecture
solution is provided, capable of supporting heterogeneous access networks,
to assist as a platform for service deployment. Several MEC use case
scenarios are evaluated on the proposed scheme, in order to attest the advantages
of a MEC deployment. Results show that the proposed environment is
significantly faster on performing compute-intensive applications, mainly due
to lower end-to-end latency, when compared to traditional centralized cloud
servers, translating into energy saving, and reduced backhaul traffic.Impulsionados pelas visões da quinta geração de redes móveis, e com uma
crescente aceitação das tecnologias de redes baseadas em software, tais
como funções de redes virtualizadas (NFV) e redes definidas por software
(SDN), encontramo-nos perante uma transformação na infraestrutura nas redes
de telecomunicações, assim como no modo como estas são geridas e
implementadas. Uma das alterações mais significativas é a mudança no paradigma
de computação na cloud, passando de uma implementação centralizada
para uma ramificada na direção das extremidades da rede. Este novo
ambiente, que possibilita uma plataforma de computação na extremidade da
rede, é denominado de Multi-Access Edge Computing (MEC). A principal característica
do MEC é fornecer computação móvel, armazenamento e recursos
de rede na extremidade da rede, permitindo que terminais móveis com
recursos limitados tenham acesso a aplicações exigentes em termos de latência
e computação. Na presente tese, é apresentada uma solução de arquitetura
MEC, que suporta ligações a redes de acesso heterogéneas, servindo
de plataforma para a implementação de serviços. Alguns cenários MEC foram
aplicados e avaliados na plataforma proposta, de forma a demonstrar as
vantagens da implementação MEC. Os resultados demonstram que a plataforma
proposta é significativamente mais rápida na execução computação intensiva,
maioritariamente devido à baixa latência, quando comparado com os
tradicionais datacenters centralizados, resultando numa poupança de energia
e redução de tráfego no backhaul.Mestrado em Engenharia Eletrónica e Telecomunicaçõe
Dynamic spectrum management with network function virtualization for UAV communication
Rapid increases in unmanned aerial vehicles (UAVs) applications are attributed to severe spectrum collision issues, especially when UAVs operate in spectrum scarce environments, such as urban areas. Dynamic air-to-ground (A2G) link solutions can mitigate this issue by utilizing programmable communication hardware in the air and real-time assignment of spectrum resources to achieve high-throughput and low-latency connectivity between UAVs and operators. To mitigate the high-computation issue among ground control station (GCS) networks and provide a broad communication coverage for large number of UAVs, we propose an advanced UAV A2G communication solution integrated with the dynamic spectrum management (DSM) and network function virtualization (NFV) technology to serve urban operations. The edge-cutting UAV communication technologies are surveyed. The proposed scheme is discussed in terms of the high-level system architecture, virtual network architecture, specific virtual functions (SVFs), and affiliated operation support databases. Some major research challenges are highlighted and the possible directions of future research are identified
Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the recent technological advancements and manufacturing cost reduction opened up myriad applications of NTNs for 5G and beyond networks, especially when integrated into terrestrial networks (TNs). This article comprehensively surveys the evolution of NTNs highlighting their relevance to 5G networks and essentially, how it will play a pivotal role in the development of 6G ecosystem. We discuss important features of NTNs integration into TNs and the synergies by delving into the new range of services and use cases, various architectures, technological enablers, and higher layer aspects
pertinent to NTNs integration. Moreover, we review the corresponding challenges arising from the technical peculiarities and the new approaches being adopted to develop efficient integrated
ground-air-space (GAS) networks. Our survey further includes the major progress and outcomes from academic research as well as industrial efforts representing the main industrial trends, field
trials, and prototyping towards the 6G networks
Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the recent technological advancements and manufacturing cost reduction opened up myriad applications of NTNs for 5G and beyond networks, especially when integrated into terrestrial networks (TNs). This article comprehensively surveys the evolution of NTNs highlighting their relevance to 5G networks and essentially, how it will play a pivotal role in the development of 6G ecosystem. We discuss important features of NTNs integration into TNs and the synergies by delving into the new range of services and use cases, various architectures, technological enablers, and higher layer aspects
pertinent to NTNs integration. Moreover, we review the corresponding challenges arising from the technical peculiarities and the new approaches being adopted to develop efficient integrated
ground-air-space (GAS) networks. Our survey further includes the major progress and outcomes from academic research as well as industrial efforts representing the main industrial trends, field
trials, and prototyping towards the 6G networks
Toward a UTM-based service orchestration for UAVs in MEC-NFV environment
Abstract
The increased use of Unmanned Aerial Vehicles (UAVs) in numerous domains, will result in high traffic densities in the low-altitude airspace. Consequently, UAVs Traffic Management (UTM) systems that allow the integration of UAVs in the low-altitude airspace are gaining a lot of momentum. Furthermore, the 5th generation of mobile networks (5G) will most likely provide the underlying support for UTM systems by providing connectivity to UAVs, enabling the control, tracking and communication with remote applications and services. However, UAVs may need to communicate with services with different communication Quality of Service (QoS) requirements, ranging form best-effort services to Ultra-Reliable Low-Latency Communications (URLLC) services. Indeed, 5G can ensure efficient Quality of Service (QoS) enhancements using new technologies, such as network slicing and Multi-access Edge Computing (MEC). In this context, Network Functions Virtualization (NFV) is considered as one of the pillars of 5G systems, by providing a QoS-aware Management and Orchestration (MANO) of softwarized services across cloud and MEC platforms. The MANO process of UAV’s services can be enhanced further using the information provided by the UTM system, such as the UAVs’ flight plans. In this paper, we propose an extended framework for the management and orchestration of UAVs’ services in MECNFV environment by combining the functionalities provided by the MEC-NFV management and orchestration framework with the functionalities of a UTM system. Moreover, we propose an Integer Linear Programming (ILP) model of the placement scheme of our framework and we evaluate its performances. The obtained results demonstrate the effectiveness of the proposed solutions in achieving its design goals