Abstract
Caching techniques have attracted extensive attention, which can significantly reduce peak traffic load and access latency, and improve energy efficiency and quality of service. In this paper, we strive to proactively caching the content requested by the user in periods with low traffic to minimize the total energy consumption and a low complexity algorithm is proposed. Furthermore, we also propose an optimal offline transmission strategy. Considering the cache size is large enough, we can obtain the optimal cache size, which can achieve our optimization goal. Numerical and simulation results show that the optimal data transmission algorithm can significantly reduce the global energy consumption of the network compared with the traditional not caching algorithm. As cache size increases, the superiority of the proposed algorithm becomes more obvious.
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