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Big Data in 5G Distributed Applications

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review


Original languageEnglish
Title of host publicationHigh-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet
EditorsJoanna Kolodziej, Horacio González-Vélez
Place of PublicationCham
PublisherSpringer International Publishing
Number of pages25
ISBN (Print)978-3-030-16272-6
Publication statusPublished - 26 Mar 2019
Publication typeA3 Part of a book or another research book

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Fifth generation mobile networks (5G) will rather supplement than replace current 4G networks by dramatically improving their bandwidth, capacity and reliability. This way, much more demanding use cases that simply are not achievable with today's networks will become reality - from home entertainment, to product manufacturing and healthcare. However, many of them rely on Internet of Things (IoT) devices equipped with low-cost transmitters and sensors that generate enormous amount of data about their environment. Therefore, due to large scale of 5G systems, combined with their inherent complexity and heterogeneity, Big Data and analysis techniques are considered as one of the main enablers of future mobile networks. In this work, we recognize 5G use cases from various application domains and list the basic requirements for their development and realization.

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