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Dynamic Inter-RAT Handover Decision for Offloading Heavy Traffic in Heterogeneous Networks

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Abstract

We present a dynamic inter-RAT handover decision mechanism that allocates network resource for UEs over heterogeneous cells considering UE’s mobility, QoS, cell transition, and inter-cell interference for overload situations. It aims to minimize access failure and handover signalling, while prioritizing UEs with high QoS level for differentiated cell selection. We formulate the problem of dynamic cell selection over a period of time into an optimization problem consisting of step-wise integer programs depending on UE’s moving speed. Simulation results show that our dynamic scheme achieves low access failure ratio in a highly overloaded network. More importantly, the proposed algorithm remarkably diminishes cell handover rate by 20 % compared to a counterpart algorithm based on static optimization. We demonstrate that our algorithm successfully controls cell acceptance and connected cell types by prioritizing with UE’s QoS, moving speed, and inter-cell interference.

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2013R1A1A1009854 and NRF-2013R1A2A2A04014772).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea

    So-Yeon Park, Ji-Hyeon Kim & HyungJune Lee

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  1. So-Yeon Park
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  2. Ji-Hyeon Kim
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  3. HyungJune Lee
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Corresponding author

Correspondence to HyungJune Lee.

Additional information

This manuscript is an extended version of our prior conference paper published at International Conference on Ubiquitous and Future Networks 2014 [12] by substantially adding new algorithm and evaluation.

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Park, SY., Kim, JH. & Lee, H. Dynamic Inter-RAT Handover Decision for Offloading Heavy Traffic in Heterogeneous Networks. Wireless Pers Commun 86, 1765–1779 (2016). https://doi.org/10.1007/s11277-015-3115-6

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  • DOI: https://doi.org/10.1007/s11277-015-3115-6

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