Network Slicing Cache Deployment And Resource Allocation Strategy For Maximizing Network Revenue in 5GC-RANs
Network Slicing Cache Deployment And Resource Allocation Strategy For Maximizing Network Revenue in 5GC-RANs
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DOI：
10.1109/bmsb49480.2020.9379692
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发表时间：
2020-10
期刊：
影响因子：
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通讯作者：
Wenjing Li;Lei Feng;Yingxin Lin;Qiang Zhao;Q. Ou
中科院分区：
文献类型：
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作者：
Wenjing Li;Lei Feng;Yingxin Lin;Qiang Zhao;Q. Ou
Cloud Radio Access Network (C-RAN) and network slicing is now regarded as a promising paradigm for multimedia networks, which aims at decreasing end-to-end delay and improving the quality of services. This article innovatively formulates a network slicing cache deployment and resource allocation strategy for 5GC-RANs, which aims at maximizing the network revenue of the system. Based on the generalized Benders Decomposition Algorithm, the network revenue maximization problem is decomposed into two subproblem. One is the cache deployment problem and the other is the resource allocation problem. The numerical results demonstrates that our proposed algorithm can ensure the fairness of resource allocation and improve the overall network revenue efficiently.
