Big Data Environment for Smart Healthcare Applications Over 5G Mobile Network

Mohammed Dighriri, Gyu Myoung Lee, Thar Baker

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNChapterpeer-review


Recent innovations and advances in mobile networking technologies have resulted in the emergence of smart services in various different application domains, in support of high mobility and scalability. 5G mobile networks represent a promising cellular technology to efficiently support emerging systems with a large volume of data traffic. Over the last few years, smart devices have seen exponential growth over mobile networks, which resulted in the need to increase the capacity due to generating higher data rates. These mobile networks are expected to face challenges, such as the support of significant data explosion and various quality of service (QoS) requirements. The proposed chapter starts with a theoretical and conceptual background on the data traffic models over different mobile network environments with the overall implications of the data size. It also discusses selected empirical studies on smart healthcare applications. This chapter demonstrates a novel resource allocation scheme (RAS) and an algorithm along with a form of slicing technique based on specific QoS requirements (e.g. to support smart healthcare application). Simulation results are demonstrated to evaluate the performance of the proposed scheme.
Original languageEnglish
Title of host publicationApplications of Big Data Analytics
Subtitle of host publicationTrends, Issues, and Challenges
Number of pages29
ISBN (Electronic)9783319764726
Publication statusPublished - 18 Jul 2018


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