CC On/Off Scheduling Using Learning-Based Prediction for LTE in the Unlicensed Spectrum

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Luo, Zhe; Ding, Ming; Luo, Hanwen


2015-12-10


Journal Article


IEEE Communication Letters


19


2158-2161


In this paper, we propose a novel component carrier on/off scheduling scheme using the learning-based prediction for LTE in the unlicensed spectrum. We use Lyapunov optimization to improve the performance of packet throughput and energy consumption, and use Vapnik-Chervonenkis theory to analyze the gap between the predicted optimal value and the practical one. The simulation results show that the proposed scheme can deliver good trade-off between packet throughput and energy consumption by turning off some busy CCs, especially when the traffic load is not high.


Data61; NICTA


https://doi.org/10.1109/LCOMM.2015.2481893


English


nicta:9017


Luo, Zhe; Ding, Ming; Luo, Hanwen. CC On/Off Scheduling Using Learning-Based Prediction for LTE in the Unlicensed Spectrum. IEEE Communication Letters. 2015-12-10; 19:2158-2161. <a href="https://doi.org/10.1109/LCOMM.2015.2481893" target="_blank">https://doi.org/10.1109/LCOMM.2015.2481893</a>



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