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EURASIP Journal on Wireless Communications and Networking
Fig. 8 | EURASIP Journal on Wireless Communications and Networking

Fig. 8

From: Machine learning-based dynamic frequency and bandwidth allocation in self-organized LTE dense small cell deployments

Fig. 8

Random sampling with 10 % of 337 permutations being explored with the linear and the bagging tree regression methods and the aggregate regressor. a, b TCP and proportional fair scheduler. c, d UDP and round robin scheduler. a Normalized performance considering per user optimization. b RMSE over user performance regression fitting with actual measured performance ranging from 538 to 1545 kbps. c Normalized performance considering per user optimization. d RMSE over user performance regression fitting with actual measured performance ranging from 1521 to 2871 kbps

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