Optimizing power consumption of mobile devices for video streaming over 4G LTE networks

While the video streaming technique and 4G LTE networks are developing rapidly, the advancement of the battery technology, however, is relatively slow. Existing works have paid much attention to understanding the power consumption in general 4G LTE networks, while few attention has been paid to reducing the power consumption for online video streaming in 4G LTE networks. Our previous work based on the real experimental platform showed that, the saving room in the network part is large, the transmission pattern and the number of RRC tails could be promising for optimizing the power consumption. In this paper, we attempt to develop efficient optimization strategies to save the energy cost of mobile devices for online video streaming over 4G LTE networks. This problem is clearly important and also interesting, while it is challenging, due to various reasons such as the uncertainty of users' behavior modes. To alleviate the challenges, we suggest a self-adaptive method that can allow us to adjust various parameters dynamically and efficiently, so as to achieve a relatively small energy consumption. We give the rigorous theoretical analysis for the proposed method, and conduct extensive experiments to validate its effectiveness. The experimental results show that the proposed method consistently outperforms the classical method as well as other competitors adapted from existing methods.