Int5Gent: An integrated end-to-end system platform for verticals and data plane solutions beyond 5G

Klonidis, Dimitrios; Apostolopoulos, Dimitris; Katsikas, Georgios P.; Giannoulis, Giannis; Kanta, Konstantina; Tokas, Kostas; Xirofotos, Thanos; Muñoz, Raül; Moscatelli, Francesca; Torfs, Guy; Vagionas, Christos; López, David Larrabeiti; He, Zhongxia Simon; Sterle, Janez; Levi, Dotan; Lyberopoulos, George; Alvarez, Victor Lopez; Trouva, Eleni; Leiba, Yigal; Vilajosana, Xavier; Casals, J. Carles Teres; Avramopoulos, H.

doi:10.1109/eucnc/6gsummit51104.2021.9482436

Cited by 3 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Instead, the paradigm studied in this paper regards the co-location of multiple cellular standards into single radio items, a trend pursued by the industry [2] and also studied in academia [4]. The topic received substantially more consideration with the advent of 5G [9]- [11] with particular attention to dual connectivity, given that the feature has been included in the 3GPP 5G standard [12], [13]. Concurrent connectivity to multiple cellular RATs presents its set of issues; for instance, [14] addresses the problems of joint M-RAT assignments and dynamic power allocation, while [15] approaches the feature probabilistically by studying how mobile equipment may decide to access either multiple RATs or a single one.…”

Section: Related Work and Data Sourcesmentioning

confidence: 99%

The Energy Footprint of 5G Multi-RAT Cellular Architectures

2021

View full text Add to dashboard Cite

While environmental and financial reasons point to the minimization of the number of radio sites to contain energy use, emissions, and operating expenses of cellular networks, the industry has, in retrospect, partly headed in the opposite direction. The reasons are the deployment of new technologies alongside the existing ones, the use of higher frequencies, and the expansion of radio coverage. In some cases, the issue has been addressed by replacing legacy access sites with Multi-RAT infrastructures, composed of individual radio elements that run multiple technologies concurrently. Now, the transition to 5G poses additional challenges. This paper reviews Multi-RAT architectures, outlines their benefits, discusses how 5G can be integrated, and provides guidance in terms of architectural recommendations, all from an energy consumption standpoint. Specifically, we firstly summarize the transition of monolithic base stations into modern radio elements, exposing the energy rationale and discussing the impact of each main network component. From this basis, we survey different deployment strategies and evaluate their energy implications in light of the constraints and opportunities given by the 5G New Radio standard, its flagship applications, and its transport requirements. Then, we lay down energy-saving estimates quantifying the contribution of each main network segment, revealing the most promising architectures, and identifying the main challenges and the research directions ahead.

show abstract

Section: Related Work and Data Sourcesmentioning

confidence: 99%

The Energy Footprint of 5G Multi-RAT Cellular Architectures

2021

View full text Add to dashboard Cite

show abstract

A Framework to Support the Deployment of PPDR Services Across Edge and Cloud Domains

Sterle

Mesogiti

Koršič

et al. 2022

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

Efficient GPU Cloud architectures for outsourcing high-performance processing to the Cloud

Maciá-Lillo

Ribes²,

Mora³

et al. 2022

Preprint

View full text Add to dashboard Cite

The world is becoming increasingly dependant in computing intensive appliances. The appearance of new paradigms such as Internet of Things (IoT), and advances in technologies such as Computer Vision (CV) and Artificial Intelligence (AI) is creating a demand for high performance applications. In this regard, Graphics Processing Units (GPUs) have the ability to provide better performance by allowing a high degree of data parallelism. This devices are also beneficial in specialized fields of manufacturing industry such as CAD/CAM. For all this applications, there is a recent tendency to offload this computations to the Cloud, using a computing offloading Cloud architecture. However, the use of GPUs in the Cloud presents some inefficiencies, where GPU virtualization is still not fully resolved, as our research on what main Cloud providers currently offer in terms of GPU Cloud instances shows. To address this problems, this paper first makes a review of current GPU technologies and programming techniques that increase concurrency, to then propose a Cloud computing outsourcing architecture to make more efficient use of this devices in the Cloud.

show abstract

Int5Gent: An integrated end-to-end system platform for verticals and data plane solutions beyond 5G

Cited by 3 publications

References 7 publications

The Energy Footprint of 5G Multi-RAT Cellular Architectures

The Energy Footprint of 5G Multi-RAT Cellular Architectures

A Framework to Support the Deployment of PPDR Services Across Edge and Cloud Domains

Efficient GPU Cloud architectures for outsourcing high-performance processing to the Cloud

Contact Info

Product

Resources

About