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Network Selection Decisions for Multiple Calls Based on Consensus Level

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Abstract

Next generation multimode terminals have the capability to support different classes of calls simultaneously as well as the ability to connect to two or more radio access technologies (RATs), at the same time, in a heterogeneous wireless network. For a mobile terminal having multiple classes of simultaneous handoff calls (such as file download and video sessions), RAT selection decisions can be made independently for individual calls in the group or jointly for the entire group of calls. Both independent and group RAT selection decisions for multiple calls have advantages and disadvantages. Existing RAT selection algorithms have focused on RAT selection decisions for single calls. Therefore, this paper investigates independent call and group call RAT selection decisions for multiple calls in heterogeneous wireless networks, and proposes a scheme that makes RAT selection decisions for multiple calls based on a consensus level among the multiple calls to be admitted. When this consensus level is among multiple calls to be admitted into a particular RAT and is equal to or above a certain threshold value, a group decision is used. Otherwise, independent decisions are made. The performance of the proposed RAT selection scheme is evaluated in a three service three RAT heterogeneous network, supporting multihomed terminals. Simulation results are given to show the effectiveness of the proposed scheme.

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Acknowledgements

This research is supported by Telkom South Africa, Jasco/TeleSciences, and the Department of Trade and Industry/National Research Foundation/Technology and Human Resources Programme (DTI/NRF/THRIP).

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Authors and Affiliations

  1. Department of Electrical Engineering, University of Cape Town, Cape Town, South Africa

    Olabisi E. Falowo & Olugbenga A. Taiwo

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  1. Olabisi E. Falowo
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Correspondence to Olabisi E. Falowo.

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Falowo, O.E., Taiwo, O.A. Network Selection Decisions for Multiple Calls Based on Consensus Level. J Netw Syst Manage 26, 592–615 (2018). https://doi.org/10.1007/s10922-017-9433-0

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  • DOI: https://doi.org/10.1007/s10922-017-9433-0

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