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Veröffentlichung

Multi-Parameter Q-Learning for Downlink Inter-Cell Interference Coordination in LTE SON

Autoren:
Dr.-Ing. Stephen Mwanje
Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel
Mr. Usama Sallakh
Typ:
Konferenz
Status:
akzeptiert
Veröffentlichungsdatum
26.06.2014
Abstract:
Inter-Cell Interference (ICI) is considered as the
main reason for throughput degradation in cellular systems,
especially for users at the cell edges. To mitigate ICI, ICI
Coordination (ICIC) has been proposed in the context of Self
Organization Networks (SON). In this paper, we present a dy-namic ICIC solution based on Q-learning that learns to maximize
system performance in terms of Signal to Interference plus
Noise Ratio (SINR). For each cell, the algorithm, called Q-ICIC,
learns the best configuration for two control parameters - the
sub-band power factor and the edge-to-center boundary (ECB)
that minimizes ICI. We validate the algorithm with LTE system
level simulations and show that Q-ICIC achieves considerable
improvement in system performance in terms of Signal to
Interference plus Noise Ratio (SINR), without compromising the
coverage in the cells.
Bibtex