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Energy-Saving Algorithm with Dimension Reduction on the Uplink for Multimedia Push

Distributed Principal Component Analysis (DPCA) is a useful tool to make a trade-off between the cost of communication and data error. In this paper, DCPA is used for dimension reduction to compress data on the uplink. There is no information but the data error threshold in the base station (BS). Based on it, the relationship between the data error threshold in the BS and in user equipments is proved and revised. The revised relationship is very simply and irrelevant to the quantity of user equipments. After that, a novel energy-saving algorithm on the uplink for multimedia push is proposed. In the algorithm, the dimension reduction is applied in every user equipment with the data error threshold, and the compressed data matrixes would be transmitted to the BS. In simulation, the energy could be saved while using the algorithm, and the effect is changed with different data sets. Afterwards, the upper bound about the ratio of energy saving is estimated.