Distributed Architecture of 5G Mobile Networks for Efficient Computation Management in Mobile Edge Computing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00308535" target="_blank" >RIV/68407700:21230/17:00308535 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.crcpress.com/5G-Radio-Access-Networks-Centralized-RAN-Cloud-RAN-and-Virtualization/Venkataraman-Trestian/p/book/9781498747103" target="_blank" >https://www.crcpress.com/5G-Radio-Access-Networks-Centralized-RAN-Cloud-RAN-and-Virtualization/Venkataraman-Trestian/p/book/9781498747103</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Distributed Architecture of 5G Mobile Networks for Efficient Computation Management in Mobile Edge Computing

Popis výsledku v původním jazyce

Mobile cloud computing is a solution for offloading computation from mobile devices in order to overcome their major limitations: short battery life-time and limited computational power. However, the conventional centralized cloud with large server farms may result in a high delay of offloaded data transmission from the mobile device to the cloud and in congestion of backhaul due to offloading of high amount of data. These problems scale down the usage of common mobile cloud computing, especially for real-time services and applications. The perceived delay can be minimized by redeployment of computation resources to the edge of mobile network, for example, to the cloud-enabled base stations, as these are close to the users. To implement this new paradigm, the architecture of conventional mobile network must be enhanced with a computation management unit, which controls processing of offloaded tasks at cloud-enabled base stations. In order to reduce signaling delay and to minimize signaling load introduced by this concept, we introduce two options of new distributed deployments of the management unit. We also discuss integration of the proposed solution into 5G mobile networks based on C-RAN. By analysis and simulations of the proposed architectures, we proof that both signaling delay and signaling load could be significantly reduced comparing to centralized solutions.

Název v anglickém jazyce

Distributed Architecture of 5G Mobile Networks for Efficient Computation Management in Mobile Edge Computing

Popis výsledku anglicky

Mobile cloud computing is a solution for offloading computation from mobile devices in order to overcome their major limitations: short battery life-time and limited computational power. However, the conventional centralized cloud with large server farms may result in a high delay of offloaded data transmission from the mobile device to the cloud and in congestion of backhaul due to offloading of high amount of data. These problems scale down the usage of common mobile cloud computing, especially for real-time services and applications. The perceived delay can be minimized by redeployment of computation resources to the edge of mobile network, for example, to the cloud-enabled base stations, as these are close to the users. To implement this new paradigm, the architecture of conventional mobile network must be enhanced with a computation management unit, which controls processing of offloaded tasks at cloud-enabled base stations. In order to reduce signaling delay and to minimize signaling load introduced by this concept, we introduce two options of new distributed deployments of the management unit. We also discuss integration of the proposed solution into 5G mobile networks based on C-RAN. By analysis and simulations of the proposed architectures, we proof that both signaling delay and signaling load could be significantly reduced comparing to centralized solutions.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

5G Radio Access Networks: Centralized RAN, Cloud-RAN and Virtualization of Small Cells

ISBN

978-1-4987-4710-3

Počet stran výsledku

22

Strana od-do

29-50

Počet stran knihy

315

Název nakladatele

CRC Press

Místo vydání

Boca Raton

Kód UT WoS kapitoly

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