D2d Big Data Analytics for User Behavior over Cellular Networks for Improving Content Desliveries
Baalaji. K1, V. Khanna2 

1Baalaji.K, Research Scholar, Department of Computer Science, Bharath University, Chennai, (Tamil Nadu).
2Dr.V. Khanna, Dean Info, Bharath University, Chennai, (Tamil Nadu).

Manuscript received on 02 March 2019 | Revised Manuscript received on 07 March 2019 | Manuscript published on 30 July 2019 | PP: 3000-3003 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2826078219/19©BEIESP | DOI: 10.35940/ijrteB2826.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: Device-to-Device (D2D) Communication, Big Data Analytics, Cellular Network, User Equipment (UE), Content Deliveries, 5G Networks.

Scope of the Article: Big Data