Method for Improved DL CoMP Implementation in Heterogeneous Networks

08/30/2016

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I propose a novel method for practical Joint Processing DL CoMP implementation in LTE/LTE-A systems using a supervised machine learning technique. DL CoMP has not been thoroughly studied in previous work although cluster formation and interference mitigation have been studied extensively. In this paper, I attempt to improve the cell-edge user data rate served by a heterogeneous network cluster by means of dynamically changing the DL SINR threshold at which DL CoMP is triggered. I do so by allowing the base stations to derive a threshold on the basis of machine learning inference. The simulation results show an improved user throughput at the cell edge of 40 a 6.4 static triggering.