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Resource multi-objective mapping algorithm based on virtualized network functions: RMMA

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成果类型:
期刊论文
作者:
Zou, Sai;Tang, Yuliang*;Ni, Wei;Liu, Ren Ping;Wang, Lei
通讯作者:
Tang, Yuliang
作者机构:
[Zou, Sai] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.
[Zou, Sai; Tang, Yuliang] Xiamen Univ, Dept Commun Engn, Xiamen, Peoples R China.
[Ni, Wei] CSIRO, Div CSIRO Computat Informat CCI, Canberra, ACT, Australia.
[Liu, Ren Ping] Univ Technol Sydney, Fac Engn & IT, Sch Comp & Commun, Sydney, NSW, Australia.
[Wang, Lei] Xiangtan Univ, Dept Comp Sci & Technol, Xiangtan, Peoples R China.
通讯机构:
[Tang, Yuliang] X
Xiamen Univ, Dept Commun Engn, Xiamen, Peoples R China.
语种:
英文
关键词:
Multi-objective optimization;Virtualization;Heterogeneous radio access networks;Dynamic differential evolution;Mapping
期刊:
Applied Soft Computing
ISSN:
1568-4946
年:
2018
卷:
66
页码:
220-231
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61731012, 91638204, 61640210, 61672447, 61572174]; Science Plan Project of Chongqing College of Electronic Engineering [XJPT201707]; fifth batch of excellent talents in universities plan of Chongqing [2017.29]
机构署名:
本校为第一机构
院系归属:
计算机科学与技术学院
摘要:
Existing radio access network systems are static and rigid; they cannot easily satisfy the increasingly large volume of mobile traffic. A new multi-objective optimization approach was developed to leverage the complexity and scalability of radio resource allocation in large-scale radio access networks. A mathematical model of virtualized resource mapping in a heterogeneous radio access network is proposed in this study. We expanded the dynamic differential evolutionary algorithm by regulating the weight parameters of each objective with machine...

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