Ensemble Techniques for Scheduling in Heterogeneous Wireless Communications Networks

David Lynch (), Michael Fenton, Stepan Kucera, Holger Claussen and Michael O’Neill
Additional contact information
David Lynch: University College Dublin
Michael Fenton: University College Dublin
Stepan Kucera: Bell Laboratories, Nokia
Holger Claussen: Bell Laboratories, Nokia
Michael O’Neill: University College Dublin

A chapter in Operations Research Proceedings 2016, 2018, pp 399-404 from Springer

Abstract: Abstract Operators deploy Small Cells in high traffic regions to boost the capacity of their wireless networks. However, User Equipments (UEs) at Small Cell edges experience severe interference from neighbouring high-powered Macro Cells. A fair trade-off between cell-edge and cell-centre performance can be realised by intelligently scheduling Small Cell attached UEs. Grammar-based Genetic Programming is employed to learn models that map measurement reports to schedules on a millisecond timescale. The evolved schedulers are then aggregated into ensembles. The proposed system significantly outperforms a state of the art benchmark algorithm and is within 10% of the estimated optimum.

Date: 2018
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DOI: 10.1007/978-3-319-55702-1_53

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