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PeriodicalsComputer Science & Information Technology

Fractal Modeling for Multi-Tier Heterogeneous Networks with Ultra-High Capacity Demands

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Abstract & Overview

Technology evolution and business interest to emerging IoT concept are driving the rapid development of advanced applications. Multitude of Internet connected devices and things in combination with the cloud based data analytics and knowledge based technologies are major components for the future IoT concept. This results in big data demands that need to be transmitted in over mobile network and requires new intelligent approaches to the network design. In this paper, a new deterministic approach for analysis of multi-tier heterogeneous network is proposed based on the fractal geometry. Proposed solution is well tractable and suitable for every possible topology of heterogeneous network, providing exact information about network capacity and co-channel interference. Two fractal models were developed based on triangular and rectangular pattern and basic geometric equations were derived for multi-tier network topology. Frequency reuse problem was addressed based on the proposed fractal model for cellular and wireless backhaul spectrum and optimal tradeoff between cellular and backhaul capacity was found. Performance simulations show that proposed fractal modeling provides more accurate network analysis in terms of capacity and interference influence in multi-tier heterogeneous networks.

Cite this record

Taras Maksymyuk, Mykola Brych, Ihor Strykhalyuk, Minho Jo (2015). Fractal Modeling for Multi-Tier Heterogeneous Networks with Ultra-High Capacity Demands. The Smart Computing Review. https://doi.org/10.6029/smartcr.2015.04.011

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Maksymyuk, T., Brych, M., Strykhalyuk, I., & Jo, M. (2015). Fractal Modeling for Multi-Tier Heterogeneous Networks with Ultra-High Capacity Demands. The Smart Computing Review. https://doi.org/10.6029/smartcr.2015.04.011
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