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Methods to Efficiently Handle Big Data in 5G Networks

Student: Elelimy Sara mohamed hassan ahmed

Supervisor: Evgeny Koucheryavy

Faculty: Graduate School of Business

Educational Programme: Big Data Systems (Master)

Final Grade: 8

Year of Graduation: 2018

Telecommunications has a huge influence on our social life nowadays and leaves big impact on the innovation, growth and success of other sectors. Thanks to the new trend and dynamic environment of this sector, most of Mobile network operators MNOs start to face a lot of challenges in the digital era, especially with high demands from customers, and that is why they started to move from the 4th generation LTE toward 5G (5th Generation). As a result, we started to highlight the importance of effectively applying big data analytics for current mobile cellular network development to achieve 5G requirements and for telecoms companies in developing their business and operation aspects. We provide methods and frameworks for handling Big data effectively to adapt fast and performance with high efficient for new business changes and challenges from new trends like Digitalization and IoT by using different analysis techniques. Due to the need for low latency for 5G networks, we will focus on caching as a solution and application based on big data analytics. WINTERsim simulator is used to figure out results from different caching techniques.

Full text (added May 21, 2018)

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