A Novel Architectural Concept for Enhanced 5G Network Facilities

Chochliouros, Ioannis P.; Giannoulakis, Ioannis; Spiliopoulou, Anastasia S.; Belesioti, Maria; Κωστόπουλος, Αλέξανδρος; Sfakianakis, Evangelos; Kourtis, Anastasios; Kafetzakis, Emmanouil; Agapiou, Stelios

doi:10.1051/matecconf/201712503012

Cited by 10 publications

(15 citation statements)

References 17 publications

(14 reference statements)

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“…1, where the working architecture is illustrated with specific emphasis upon the functional elements and interfaces. The corresponding system is equipped with a two-tier virtualised execution environment, materialised in the form of the Edge DC (Data Centre), which allows also the provision of MEC capabilities to the mobile operators for enhancing the user experience and the agility in the service delivery [16][17][18].…”

Section: Basic Architecture and Use Case Descriptionmentioning

confidence: 99%

Combined 5G-Based Video Production and Distribution in a Crowded Stadium Event

Chochliouros¹,

Spiliopoulou²,

Lazaridis³

et al. 2020

Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops

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Based upon the scope of the original 5G ESSENCE research effort and by considering the related fundamental architecture, we develop a dedicated scenario for the implementation and demonstration of a setup for a 5G edge network acceleration in the context of a sport event, taking place in a stadium. Specifically, we demonstrate a combined 5G-based video production and video distribution scenario towards delivering benefits to both media producers/content providers and mobile operators, with those being able to offer enriched event experience to their subscribers. The production/distribution of locally generated content through the respective platform, coupled with value-added services and rich user context, enables secure, high-quality and resilient transmission in realtime, thus ensuring minimal latency. In the selected scenario, massive data traffic does not affect nor overload the backhaul connection as it is produced, processed and consumed just locally, aligned to the 5G 3GPP specifications. We also discuss details about the proposed services and functionalities of the use case, together with an approach for a potential projection to the market.

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Section: Basic Architecture and Use Case Descriptionmentioning

confidence: 99%

Combined 5G-Based Video Production and Distribution in a Crowded Stadium Event

Chochliouros¹,

Spiliopoulou²,

Lazaridis³

et al. 2020

Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops

Self Cite

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“…Perhaps the ones most relevant are: Orion [41], SESAME [39] and ESSENCE [40]. However, these works do not consider the use of shared spectrum and its implications, the main focus of this paper.…”

Section: Related Workmentioning

confidence: 99%

Iris: Deep Reinforcement Learning Driven Shared Spectrum Access Architecture for Indoor Neutral-Host Small Cells

Foukas

Marina

Kontovasilis

2019

IEEE J. Select. Areas Commun.

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We consider indoor mobile access, a vital use case for current and future mobile networks. For this key use case, we outline a vision that combines a neutral-host based shared small-cell infrastructure with a common pool of spectrum for dynamic sharing as a way forward to proliferate indoor small-cell deployments and open up the mobile operator ecosystem. Towards this vision, we focus on the challenges pertaining to managing access to shared spectrum (e.g., 3.5GHz US CBRS spectrum). We propose Iris, a practical shared spectrum access architecture for indoor neutral-host small-cells. At the core of Iris is a deep reinforcement learning based dynamic pricing mechanism that efficiently mediates access to shared spectrum for diverse operators in a way that provides incentives for operators and the neutral-host alike.We then present the Iris system architecture that embeds this dynamic pricing mechanism alongside cloud-RAN and RAN slicing design principles in a practical neutral-host design tailored for the indoor small-cell environment. Using a prototype implementation of the Iris system, we present extensive experimental evaluation results that not only offer insight into the Iris dynamic pricing process and its superiority over alternative approaches but also demonstrate its deployment feasibility. Index TermsIndoor mobile access, small cells, neutral host, RAN slicing, C-RAN, shared spectrum, dynamic pricing, deep reinforcement learning.

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“…Among other issues, the modern service-driven 5G network architectures intent to deal with and cover a wider set of diversified mobile service requirements, via a flexible and reliable way. With Software Defined Networking (SDN) and Network Functions Virtualisation efficiently supporting the underlying physical infrastructure, the related 5G environment can "cloudify" access, transport, and core networks in a very comprehensible and via a quite reliable manner ( [10], [11]). Cloud adoption allows for better support for diversified 5G services and, furthermore, it enables the "key technologies" of end-to-end network slicing, on-demand deployment of service anchors and component-based network functions.…”

Section: Telemetry and Analytics In The 5g Ecosystemmentioning

confidence: 99%

Inclusion of Telemetry and Data Analytics in the Context of the 5G ESSENCE Architectural Approach

Chochliouros

Spiliopoulou

Κωστόπουλος

et al. 2019

IFIP Advances in Information and Communication Technology

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The 5G will not only be a kind of progress of mobile broadband networks but will also create a set of novel and unique network and service capabilities, structuring a form of a sustainable and scalable technology. Based on the context of the on-going progress of the actual "5G-ESSENCE" EUfunded project and, in particular, upon its innovative architecture that combines a variety of features from network functions virtualisation (NFV), mobile-edge computing (MEC) and cognitive network management resulting in a pure software-driven environment in nature, we identify the importance of telemetry and analytics. These latter features are expected to play an important role in the 5G ecosystem, especially for the realisation and support of dynamic cognitive management of the 5G ESSENCE network architecture. The Cloud Enabled Small Cell Manager (CESCM) which is a "core" element of the corresponding 5G ESSENCE architectural framework encompasses telemetry and analytics as essential tools for automated and fine grained management of the network infrastructures. To this aim, we have proposed the inclusion of three distinct modules (telemetry, analytics and orchestration) to enhance the original 5G ESSENCE architecture.

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A Novel Architectural Concept for Enhanced 5G Network Facilities

Cited by 10 publications

References 17 publications

Combined 5G-Based Video Production and Distribution in a Crowded Stadium Event

Combined 5G-Based Video Production and Distribution in a Crowded Stadium Event

Iris: Deep Reinforcement Learning Driven Shared Spectrum Access Architecture for Indoor Neutral-Host Small Cells

Inclusion of Telemetry and Data Analytics in the Context of the 5G ESSENCE Architectural Approach

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