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Analytical Evaluation of D2D Connectivity Potential in 5G Wireless Systems

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 9870))

Abstract

Constantly growing number of wireless devices leads to the increasing complexity of maintenance and requirements of mobile access services. Following this, the paper discusses perspectives, challenges and services of 5th generation wireless systems, as well as direct device-to-device communication technology, which can provide energy efficient, high throughput and low latency transmission services between end-users. Due to these expected benefits, the part of network traffic between mobile terminals can be transmitted directly between the terminals via established D2D connection without utilizing an infrastructure link. In order to analyse how frequently can be such direct connectivity implemented, it is important to estimate the probability of D2D communication for arbitrary pair of mobile nodes. In this paper, we present the results of the network modelling when the random graph model is used. The model was implemented as a simulation program in C# which generates random graph with a given number of vertexes and creates the minimal spanning tree (mst) by using the Prime’s algorithm. All our result and practical findings are summarized at the end of this manuscript.

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Acknowledgement

Research described in this paper was financed by the National Sustainability Program under grant L01401 of Brno University of Technology. For the research, infrastructure of the SIX Center was used. The reported study was funded within the Agreement № 02.a03.21.0008 dated 24.11.2016 between the Ministry of Education and Science of the Russian Federation and RUDN University.

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Correspondence to Ammar Muthanna .

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Muthanna, A. et al. (2016). Analytical Evaluation of D2D Connectivity Potential in 5G Wireless Systems. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2016 2016. Lecture Notes in Computer Science(), vol 9870. Springer, Cham. https://doi.org/10.1007/978-3-319-46301-8_33

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  • DOI: https://doi.org/10.1007/978-3-319-46301-8_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46300-1

  • Online ISBN: 978-3-319-46301-8

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