568 resources related to Network Slicing
- Topics related to Network Slicing
- IEEE Organizations related to Network Slicing
- Conferences related to Network Slicing
- Periodicals related to Network Slicing
- Most published Xplore authors for Network Slicing
The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
ICC 2021 - IEEE International Conference on Communications
IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
2018 20th International Conference on Transparent Optical Networks (ICTON), 2018
In this invited paper we examine the role of Service Function Chaining (SFC) and Network Slicing in providing support for emerging 5G services as data is carried across backhaul and metro networks. The way in which backhaul and metro networks are managed and operated affects the ability of those networks to support a wide range of services that will be ...
2017 Global Wireless Summit (GWS), 2017
The 5G mobile network is expected to meet increasing user demands. The increase in number of users is accompanied by varying user requirements in different network scenarios. Hence the 5G mobile network should be as flexible as possible. Network slicing offers a promising solution to the flexibility need of the 5G mobile network. Network slicing is the logical partitioning of ...
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 2018
Network slicing is a key technology of 5G network to realize flexible customization for various services based on Network Function Virtualization and Software Defined Network. In this paper, we discuss end-to-end network slicing in terms of non-standalone 5G standard, where eMBB and uRLLC scenarios are supported using 4G core network. Firstly, we present eMBB and uRLLC slices at the user ...
2018 20th International Conference on Transparent Optical Networks (ICTON), 2018
The concept of network slicing is gaining a lot of interest and being under notable discussion within SDOs such as 3GPP, NGMN, ETSI and 5G Americas. A Network Slice is end-to-end service composed by a set of network functions, and the resources to run these network functions, forming a complete instantiated logical network, which meets certain network characteristics. In this ...
2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2018
Network slicing is considered a key technology for the upcoming 5G system, enabling operators to efficiently support multiple services with heterogeneous requirements, over a common shared infrastructure. In this demo, we present a prototype for managing network slices in the Cloud Radio Access Network (C-RAN), which is considered the reference network architecture for 5G. Our prototype deals with the spectrum ...
Edge Computing and Network Slicing for the Factories of the Future - Future X Network Panel Talk - Andreas Mueller - Brooklyn 5G Summit 2018
Network Slicing, Use Cases and Adoption Challenges - Ilaria Brunelli - 5G World Forum Santa Clara 2018
5G & Network Slicing: A New Era in Networking - Constantine Polychronopoulos - 5G World Forum Santa Clara 2018
5G Networks: Slicing and Function Placement - Future X Network Panel Talk - Wolfgang Kellerer - Brooklyn 5G Summit 2018
Day 2, AM Sessions - Brooklyn 5G Summit 2018
Network Orchestration for 5G - Raquel Morera - IEEE Sarnoff Symposium, 2019
Panel: Edge Cloud Computing, Private Networks & Slicing - B5GS 2019
Security for SDN/NFV and 5G Networks - Ashutosh Dutta - India Mobile Congress, 2018
Keynote 2: Exploring New Technologies for 5G/Future Networks - Dilip Krishnaswamy - India Mobile Congress, 2018
5G Proof-of-Concept (PoC) Systems with focus on real use cases - Juha Silipa and Mark Cudak: Brooklyn 5G Summit 2017
Security in SDN/NFV and 5G Network: Opportunities and Challenges - IEEE Future Networks Initiative
Communication: Next 20 Years Panel - Timothy Lee at INC 2019
Converged Edge Infrastructure: Edge, Networks & Slicing - Geetha Ram - B5GS 2019
GHTC 2015 - Creating a Global Network to Impact Global Health
5G Non-Public Networks: Edge, Networks & Slicing - Hans Schotten - B5GS 2019
Network Analysis: RF Boot Camp
IMS 2011 Microapps - Techniques for Validating a Vector Network Analyzer Calibration When Using Microwave Probes
IMS 2012 Microapps - Basic Amplifier Measurements with the RF Vector Network Analyzer (VNA) Taku Hirato, Agilent
IMS 2011 Microapps - IQ Mixer Measurements: Techniques for Complete Characterization of IQ Mixers Using a Multi-Port Vector Network Analyzer
In this invited paper we examine the role of Service Function Chaining (SFC) and Network Slicing in providing support for emerging 5G services as data is carried across backhaul and metro networks. The way in which backhaul and metro networks are managed and operated affects the ability of those networks to support a wide range of services that will be enabled by 5G connectivity. Those services will place exacting demands on the bandwidth, delay bounds, and jitter delivered to users, but may vary significantly over relatively short time periods. SFC and Network Slicing offer opportunities for software-driven coordination of network resources to marshal them so as to best deliver the network behaviour that will support the demands of the services. We present the latest proposals towards standardisation of SFC and Network Slicing in the Internet Engineering Task Force (IETF) and discuss how these concepts are applied in optical networks through the Metro-Haul project.
The 5G mobile network is expected to meet increasing user demands. The increase in number of users is accompanied by varying user requirements in different network scenarios. Hence the 5G mobile network should be as flexible as possible. Network slicing offers a promising solution to the flexibility need of the 5G mobile network. Network slicing is the logical partitioning of a physical network into independent virtual mobile networks which enables the multi-tenancy paradigm. However, realising independent virtual mobile networks via network slicing in multi-tenancy requires efficient resource allocation. This is important to ensure that multi-tenancy enhances network capacity. In this paper, we investigate the resource allocation problem of achieving maximum capacity with the transmit power, allocated bandwidth as part of the constraints in a sliced multi-tenant network. Through our simulations, we demonstrate (i) how the number of users in a slice affects the capacity of an MVNO, (ii) how the transmit power improves the capacity of the MVNO and also how the number of slices affects the capacity.
Network slicing is a key technology of 5G network to realize flexible customization for various services based on Network Function Virtualization and Software Defined Network. In this paper, we discuss end-to-end network slicing in terms of non-standalone 5G standard, where eMBB and uRLLC scenarios are supported using 4G core network. Firstly, we present eMBB and uRLLC slices at the user plane respectively. To reduce end-to-end delay in the uRLLC slice, Mobile Edge Computing is introduced. Secondly, both eMBB and uRLLC slices share the same control plane at core network. Finally, we establish a testbed based on the open source software of OAI. Experimental results demonstrate that our proposed scheme can increase the downlink rate for eMBB slice and reduce the delay for uRLLC slice.
The concept of network slicing is gaining a lot of interest and being under notable discussion within SDOs such as 3GPP, NGMN, ETSI and 5G Americas. A Network Slice is end-to-end service composed by a set of network functions, and the resources to run these network functions, forming a complete instantiated logical network, which meets certain network characteristics. In this paper, we provide an overview of the design and development of a network slice manager component inside the SONATA Service Platform. The proposed component is able to align with ETSI NFV and 3GPP models.
Network slicing is considered a key technology for the upcoming 5G system, enabling operators to efficiently support multiple services with heterogeneous requirements, over a common shared infrastructure. In this demo, we present a prototype for managing network slices in the Cloud Radio Access Network (C-RAN), which is considered the reference network architecture for 5G. Our prototype deals with the spectrum slicing problematic and aims at efficiently sharing the bandwidth resources among different slices, while considering their requirements. The prototype makes use of the Open Air Interface (OAI) platform and a specific Software Defined Network (SDN) controller, known as FlexRAN. By using real smart-phones, we run experiments on stage to validate the feasibility of the prototype in configuring multiple slices on-demand, driven by the input of a northbound application.
Network slicing in fog radio access networks (F-RANs) is recognized as a cost- efficient solution to support future diverse use cases. However, with the number of user equipments (UEs) fast increasing, the centralized resource allocation architecture for network slicing can put heavy burdens on the global radio resource manager (GRRM), and meanwhile slice customization is not easy to achieve. To overcome the two issues, a hierarchical radio resource allocation architecture is proposed in this paper, where the GRRM is responsible for allocating subchannels to local radio resource managers (LRRMs) in slices, which then allocate the assigned resources to their UEs. Under this architecture, a hierarchical resource allocation problem is formulated, and the problem is further modeled as a Stakelberg game with the GRRM as the leader and LRRMs as followers, considering the hierarchy between the GRRM and LRRMs. Due to the NP-hardness of the followers' problems, a process based on exhaustive search is first proposed to achieve the Stackelberg equilibrium (SE). Nevertheless, when the network scale is large, achieving SE within limited decision making time is impractical for game players. Facing this challenge, the GRRM and LRRMs are seen as bounded rational players, and low complexity algorithms are developed to help them achieve local optimal solutions that lead to a weak version of SE. Simulation results show that there exists a tradeoff between the performance of slices, and the low complexity algorithms achieve close performance to that of exhaustive search and outperform other baselines significantly.
Network slicing is expected to be the main pillar around which virtualization technologies together with SDN control and NFV, will provide on-demand network and cloud infrastructures and facilitate rapid service deployment. In this paper we present JOX, an event-driven orchestrator for the virtu- alized network, operating on top of the Juju management system, that inherently supports network slicing. JOX is a python-based generic network slicing orchestrator, with a plugins architecture that is able to support different segments of a modern mobile edge network. We present a concrete prototype implementation of JOX for LTE, with experimental results considering footprint analysis, performance metrics, and implementation experience for slicing and orchestrating of an operational LTE network.
5G networks supposed to be a solution for providing the ubiquity connectivity of wireless devices. Network slicing is one of the major enablers of 5G networks. Network slice is a logical network with specific network and security capabilities. To provide a tool for a research study of network slicing, the 5G testbed is being developed. The testbed utilizes the LTE architecture and adds 5G elements to LTE testbed by OpenAirInterface. UE and AN are simulated with help of OAI Simulator. Core Network presented by openair-cn. To enable slice selection function, a UE contains NSSAI. eNB extracts NSSAI which is used for slice selection and relays NSSAI to AMF/MME for further processing. Network slices presented as Docker containers. The 5G testbed allows to study performance issues and attacks on network slices from different angles e.g. protocol, slice selection function in AN, processing NSSAI in core networks.
The network slicing paradigm provides the necessary means to allow vertical segments to seamlessly share the same network infrastructure, while delivering the expected service level agreements (SLAs) to their own customers. However, the concurrent access at shared resources and the huge disparity among different verticals' service requirements opens up new technical challenges that must be addressed. With this demonstration, we showcase the benefits that centralized orchestration operations, such as slice brokerage and resources allocation, can bring to tackle these issues. Our testbed, namely OVNES, implements the network slicing paradigm on real network equipments and discloses the novel concept of 5G Network Slice Broker as an entity in charge of mediating between vertical network slice requests and physical network resources availability.
The concept of "Network slicing" enables us to provide an optimized logical infrastructure for each service. We construct multiple isolated logical infrastructures, slices, on a single physical infrastructure. Each slice accesses appropriate virtual network functions, a logical topology, isolated logical com-putational resources, and isolated logical network resources for the service to be provided. However, designing a service-specific slice is generally complicated. In general, service providers and slice providers are different. Therefore, service providers must design a slice optimized for their service and request slice construction from slice providers; slice providers need to understand a service to design a slice. This creates excessive time and cost overheads. We target automatic network slicing for services from the slice providers' point of view. In this paper, we assume that service providers develop their services from microservices. We show an architecture for automatic network slicing for microservices and implement it. We also discuss the issues revealed by our implementation efforts. This knowledge can be used to realize more general automatic network slicing for other service development methods. Automatic network slicing will provide slices more quickly and cheaply.
No standards are currently tagged "Network Slicing"