Technical Report, Feb. 1, 2019

Machine Learning in Downlink Coordinated Multipoint in Heterogeneous Networks

Faris B. Mismar and Brian L. Evans

Department of Electrical and Computer Engineering, Wireless Networking and Communications Group, The University of Texas at Austin, Austin, TX 78712 USA -


Multiantenna Communications Project


We propose a method for downlink coordinated multipoint (DL CoMP) in heterogeneous fifth generation New Radio (NR) networks. The primary contribution of our paper is to apply online machine learning using a support vector machine (SVM) classifier in the physical layer to enhance the user throughput in a scalable network environment. Our simulation results show improvement in both the macro and pico base station peak throughputs due to the informed triggering of the multiple DL CoMP radio streams as learned by the SVM classifier.

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Last Updated 02/02/19.