Open AccessD2d Big Data Analytics for User Behavior over Cellular Networks for Improving Content Desliveries
Author(s) -
K Baalaji.,
Dr.V. Khanna
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b2826.078219
Subject(s) - computer science , cellular network , big data , spectral efficiency , efficient energy use , user equipment , cellular traffic , analytics , computer network , wireless , wireless network , data transmission , key (lock) , cellular communication , data science , telecommunications , base station , computer security , data mining , channel (broadcasting) , engineering , electrical engineering
(Nowadays cellular phones are profoundly increasing and present network capacity need to be increased to meet the growing demands of user equipment (UE) that has led to evolution of cellular and communication networks. Device-to-Device (D2D) communication is a usage technology that extends enormous features that can be incorporated with LTE and conssidesred as a finest technological componentespecially for the 5G network. Generally the 5G wireless networks are being introsduced to improve the present technology that meets the future demands extending efficient and reliable solutions. This Device-to-Device (D2D) communication can be established within LTE that limits to its proximity and comes with various advantages such as increase of spectral efficiency, energy efficiency, reduction of transmission delay, efficient offloaded traffic, avoiding congestion in cellular network. This paper deals D2D entities that include user behaviors, content deliveries and characteristics in big data platform that utilizes sharing large scale data accurately and effectively. Besides D2D, the proposed work builds concept of big data analytics integrated with D2D for effectively improving the content deliveries while offloading large data set.The presentwork also discussesbig data predictive analysis for the users based on D2D network services that help for further work.