735 research outputs found
Flexible fog computing and telecom architecture for 5G networks
We review a novel, secure, highly distributed and ultra-dense fog computing infrastructure, which can be allocated at the extreme edge of a wired/wireless network for a Telecom Operator to provide multiple unified, cost-effective and new 5G services, such as Network Function Virtualization (NFV), Mobile Edge Computing (MEC), and services for third parties (e.g., smart cities, vertical industries or Internet of Things (IoT)). The distributed and programmable fog technologies are expected to strengthen the position of the Mobile Network and cloud markets; key benefits are the dynamic deployment of new distributed low-latency services. The architecture consists of three main building blocks: a) a scalable node, that is seamlessly integrated in the Telecom infrastructure; b) a controller, focused on service assurance, that is integrated in the management and orchestration architecture of the Telecom operator; and c) services running on top of the Telecom infrastructure.Peer ReviewedPostprint (author's final draft
Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges
The Open Radio Access Network (RAN) and its embodiment through the O-RAN
Alliance specifications are poised to revolutionize the telecom ecosystem.
O-RAN promotes virtualized RANs where disaggregated components are connected
via open interfaces and optimized by intelligent controllers. The result is a
new paradigm for the RAN design, deployment, and operations: O-RAN networks can
be built with multi-vendor, interoperable components, and can be
programmatically optimized through a centralized abstraction layer and
data-driven closed-loop control. Therefore, understanding O-RAN, its
architecture, its interfaces, and workflows is key for researchers and
practitioners in the wireless community. In this article, we present the first
detailed tutorial on O-RAN. We also discuss the main research challenges and
review early research results. We provide a deep dive of the O-RAN
specifications, describing its architecture, design principles, and the O-RAN
interfaces. We then describe how the O-RAN RAN Intelligent Controllers (RICs)
can be used to effectively control and manage 3GPP-defined RANs. Based on this,
we discuss innovations and challenges of O-RAN networks, including the
Artificial Intelligence (AI) and Machine Learning (ML) workflows that the
architecture and interfaces enable, security and standardization issues.
Finally, we review experimental research platforms that can be used to design
and test O-RAN networks, along with recent research results, and we outline
future directions for O-RAN development.Comment: 33 pages, 16 figures, 3 tables. Submitted for publication to the IEE
Network Service Orchestration: A Survey
Business models of network service providers are undergoing an evolving
transformation fueled by vertical customer demands and technological advances
such as 5G, Software Defined Networking~(SDN), and Network Function
Virtualization~(NFV). Emerging scenarios call for agile network services
consuming network, storage, and compute resources across heterogeneous
infrastructures and administrative domains. Coordinating resource control and
service creation across interconnected domains and diverse technologies becomes
a grand challenge. Research and development efforts are being devoted to
enabling orchestration processes to automate, coordinate, and manage the
deployment and operation of network services. In this survey, we delve into the
topic of Network Service Orchestration~(NSO) by reviewing the historical
background, relevant research projects, enabling technologies, and
standardization activities. We define key concepts and propose a taxonomy of
NSO approaches and solutions to pave the way towards a common understanding of
the various ongoing efforts around the realization of diverse NSO application
scenarios. Based on the analysis of the state of affairs, we present a series
of open challenges and research opportunities, altogether contributing to a
timely and comprehensive survey on the vibrant and strategic topic of network
service orchestration.Comment: Accepted for publication at Computer Communications Journa
View on 5G Architecture: Version 2.0
The 5G Architecture Working Group as part of the 5GPPP Initiative is looking at capturing novel trends and key technological enablers for the realization of the 5G architecture. It also targets at presenting in a harmonized way the architectural concepts developed in various projects and initiatives (not limited to 5GPPP projects only) so as to provide a consolidated view on the technical directions for the architecture design in the 5G era. The first version of the white paper was released in July 2016, which captured novel trends and key technological enablers for the realization of the 5G architecture vision along with harmonized architectural concepts from 5GPPP Phase 1 projects and initiatives. Capitalizing on the architectural vision and framework set by the first version of the white paper, this Version 2.0 of the white paper presents the latest findings and analyses with a particular focus on the concept evaluations, and accordingly it presents the consolidated overall architecture design
Distributed Sensing, Computing, Communication, and Control Fabric: A Unified Service-Level Architecture for 6G
With the advent of the multimodal immersive communication system, people can
interact with each other using multiple devices for sensing, communication
and/or control either onsite or remotely. As a breakthrough concept, a
distributed sensing, computing, communications, and control (DS3C) fabric is
introduced in this paper for provisioning 6G services in multi-tenant
environments in a unified manner. The DS3C fabric can be further enhanced by
natively incorporating intelligent algorithms for network automation and
managing networking, computing, and sensing resources efficiently to serve
vertical use cases with extreme and/or conflicting requirements. As such, the
paper proposes a novel end-to-end 6G system architecture with enhanced
intelligence spanning across different network, computing, and business
domains, identifies vertical use cases and presents an overview of the relevant
standardization and pre-standardization landscape
Modular architecture providing convergent and ubiquitous intelligent connectivity for networks beyond 2030
The transition of the networks to support forthcoming beyond 5G (B5G) and 6G services introduces a number of important architectural challenges that force an evolution of existing operational frameworks. Current networks have introduced technical paradigms such as network virtualization, programmability and slicing, being a trend known as network softwarization. Forthcoming B5G and 6G services imposing stringent requirements will motivate a new radical change, augmenting those paradigms with the idea of smartness, pursuing an overall optimization on the usage of network and compute resources in a zero-trust environment. This paper presents a modular architecture under the concept of Convergent and UBiquitous Intelligent Connectivity (CUBIC), conceived to facilitate the aforementioned transition. CUBIC intends to investigate and innovate on the usage, combination and development of novel technologies to accompany the migration of existing networks towards Convergent and Ubiquitous Intelligent Connectivity (CUBIC) solutions, leveraging Artificial Intelligence (AI) mechanisms and Machine Learning (ML) tools in a totally secure environment
Security and Privacy for Green IoT-based Agriculture: Review, Blockchain solutions, and Challenges
open access articleThis paper presents research challenges on security and privacy issues in the field of green IoT-based agriculture. We start by describing a four-tier green IoT-based agriculture architecture and summarizing the existing surveys that deal with smart agriculture. Then, we provide a classification of threat models against green IoT-based agriculture into five categories, including, attacks against privacy, authentication, confidentiality, availability, and integrity properties. Moreover, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods toward secure and privacy-preserving technologies for IoT applications and how they will be adapted for green IoT-based agriculture. In addition, we analyze the privacy-oriented blockchain-based solutions as well as consensus algorithms for IoT applications and how they will be adapted for green IoT-based agriculture. Based on the current survey, we highlight open research challenges and discuss possible future research directions in the security and privacy of green IoT-based agriculture
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