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The evolution of 5G mobile radio and its complex interaction with fixed access network infrastructures poses new challenges and opportunities. In this article, a software-defined converged fixed-mobile 5G architecture is introduced using carrier-grade Ethernet as a transport platform. An active remote node (ARN) is used to connect end-users. Powere...
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Context 1
... SODALES architecture is depicted in Fig. 1. In the fixed- access context, the conventional "passive is better" paradigm (as exemplified by the PON paradigm) is an approach that SODALES seeks to modify. Although PONs offer OpEx advan- tages as compared to active networks (which require powering, maintenance and footprint in the field), 5G requires rethinking of the PON ...
Context 2
... of the ARN is shown in Fig. 1 (bottom left) with a photograph in Fig. 4 (bottom). The ARN contains a switch fabric and cards with variable ports. Each card can host up to 48 fixed or wireless final-drop links for domestic users or a small RBS connected via 1 Gb/s Ethernet (typically 2 cards). A card can also host up to 4 small and medium enterprises (SMEs), or a ...
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Citations
Millimeter-wave (mmWave) bands are expected to be an important choice for future vehicular communication to support Gbps links for reliable data transfer in high-rate applications. The recent online learning technologies addressed the problem of fast beam tracking by exploiting user location information and mining received data in mmWave vehicular systems to adapt to the vehicle’s environmental situation. However, the fairness and efficiency over mmWave beams are difficult to maintain on the move, especially for high-density traffic, since the number of available beams is quite limited by hardware and cost for current antenna arrays. Fortunately, the social structure of preferences between the neighboring smart cars and their passengers can be leveraged to improve the beam coverage efficiency by performing the broadcast transmission via a single beam. In this paper, we propose a double-layer online learning algorithm, namely, context-and social-aware machine learning (CSML), that is based on the context and social preference information of vehicles and passengers, to realize fast beam access with broadcast coverage in mmWave communication systems. Based on the multi-armed bandit model, CSML embodies the selection of appropriate beams in the first layer and steers the broadcast angle along these beams in the second layer by aggregating the received data. Furthermore, CSML needs to adjust the timing of exploration and exploitation based on the social information, i.e., the probability of vehicles meeting with each other that have the same preference. Finally, we perform an extensive evaluation using realistic traffic patterns and show that CSML increases the efficiency of mmWave base stations by using social data and can achieve near-optimal system performance.
Mobile communications have permanently changed our society and our ways of communicating ever since the global availability of mobile speech services, and because these communications form the basis for mobile Internet. They have facilitated a new dimension of productivity growth and manufacturing and service process networking since the use of the Internet. Their technical basis is founded on a deep understanding of the relationships between radio and telecommunications technology, beginning with radio wave propagation and modeling, through techniques for digital signal processing and a scalable system design for a cellular radio system with mobility support, to methods for system analysis and optimization. The Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institute, HHI has been working in the field of mobile telephony communications for 20 years and has made key contributions to the third, fourth, and fifth generations. Alongside research articles and numerous first-time demonstrations of key technological components, the institute is also an active contributor to 3GPP standardization.
The 5th generations of networks have been evolved to satisfy the enormous growth of the user’s requirements. To achieve the user’s requirements and to assure the QoS, the traffic management (TM) of data transmission must be considered with the different network architectures. Thus, this paper presents using Software Defined Network (SDN) as well as Software Defined Mobile Network (SDMN) for (TM) purposes. Additionally, this article has analyzed the recent contributions of SDN and SDMN regarding TM within 5G environments. Moreover, we have proposed a theoretical architecture for the mobile TM systems through the SDMN controller. This architecture allows us to improve the performance enhancement through loading TM. Thus, benefits and challenging points of the proposed architecture have been presented.
Die Mobilkommunikation hat seit der weltweiten Verfügbarkeit von mobilen Sprachdiensten und als Grundlage für das mobile Internet unsere Gesellschaft und unsere Art zu kommunizieren nachhaltig verändert. Sie hat eine neue Dimension von Produktivitätssteigerung und Vernetzung von Produktionsund Dienstleistungsprozessen seit der Nutzung des Internets ermöglicht. Die technische Grundlage basiert auf einem tiefgreifenden Verständnis der Zusammenhänge der Funk- und Nachrichtentechnik, angefangen von Radiowellenausbreitung und deren Modellierung über Verfahren der digitalen Signalverarbeitung und eines skalierbaren Systementwurfs für ein zellulares Funksystem mit Mobilitätsunterstützung bis hin zu Methoden der Systembewertung und Systemoptimierung. Das Fraunhofer-Institut für Nachrichtentechnik, Heinrich- Hertz-Institut (HHI) arbeitet seit 20 Jahren im Bereich der Mobilfunkkommunikation und hat eine Vielzahl von wichtigen Beiträgen zur dritten, vierten und fünften Generation geleistet. Neben wissenschaftlichen Beiträgen und zahlreichen erstmaligen Demonstrationen zu Schlüsseltechnologie-Komponenten trägt das Institut auch aktiv zur 3GPP-Standardisierung bei.
