Energy-efficient hierarchical cooperative caching optimisation for 5G networks

• Published in: IET communications 2019-04, Vol.13 (6), p.687-695
• Main Authors: Xie, Renchao, Tang, Qinqin, Huang, Tao
• Format: Article
• Language: English
• Subjects: 5G mobile communication; 5G networks; cache storage; content caching policy design; cooperative communication; duplicate traffic transmission; energy efficiency; energy‐efficient hierarchical; evolutionary computation; fifth‐generation networks; integer programming; integer programming problem; Research Article; telecommunication computing; total energy consumption; user QoE; user quality‐of‐experience
• ISSN: 1751-8628; 1751-8636; 1751-8636
• DOI: 10.1049/iet-com.2018.5530

The caching in fifth generation (5G) networks has been considered as a promising technique to reduce the duplicate traffic transmission and improve the users' quality of experience (QoE). Although many works have been done for caching in 5G networks, most of them focus on the content caching policy design to optimise the users' QoE, the issue to realise the energy efficiency of the whole network is not fully considered. Therefore, in this study, by introducing the hierarchical cooperative caching property, i.e. the core gateway and the base stations can cooperative cache the content, the authors study the problem of the hierarchical cooperative caching policy to realise the energy efficiency. They then formulate the hierarchical cooperative content placement problem as an integer programming problem to minimise the total energy consumption. Also, to reduce the computation complexity, the optimisation algorithm based on the idea of quantum-inspired evolutionary is proposed, which has the fast convergence and approximate to the optimal solution. Finally, extensive simulation results are illustrated to demonstrate the performance of the proposed scheme.