A joint optimization method for base station dormancy and cooperative caching in D2D-assisted ultra-dense networks

Abstract

The invention discloses a joint optimization method for base station dormancy and cooperative cache in a D2D-assisted ultra-dense network. The method considers a caching scheme and a base station dormancy strategy at the same time. By analyzing the file transmission delay and the average system energy consumption, the energy consumption and delay weighing problem are described as the minimum costfunction problem. The minimum cost function problem is a complex combinatorial optimization problem. Since dormancy and caching are two independent processes, the original problem is decomposed into two sub-problems: first, the caching scheme is given, and the optimization base station dormancy scheme corresponding to the minimum cost function is found; and secondary, based on the optimization base station dormancy scheme, the optimal cooperative cache scheme is iteratively solved according to the combinatorial optimization algorithm, so that the system energy consumption is minimized under the condition that the user service quality is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a joint optimization method of base station dormancy and cooperative buffering in an ultra-dense network. Background technique [0002] The explosive growth of mobile traffic has brought great challenges to mobile network operators. In order to meet future mobile data requirements and greatly improve system capacity and user experience quality, deploying ultra-dense low-power small cells in the coverage area of ​​traditional high-power macro cells, especially in high-traffic hotspot areas, can achieve huge throughput gains. However, the ever-increasing number of base stations in an ultra-dense heterogeneous network will inevitably consume more power and energy. In the composition of wireless network energy consumption, base station energy consumption accounts for the largest proportion, accounting for 80% of the total energy consumption. Therefore, how...

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Problems solved by technology

[0004] Existing caching schemes aim to reduce latency or increase throughput, and seldom consider energy consumption issues, making it difficult for existing caching strategies to apply to actual ultra-dense heterogeneous networks

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