知识定义多模态网络按需服务体系研究

doi:10.11959/j.issn.1000-436x.2022076

Abstract

Abstract:

Given the consideration of future generation mobile communication network systems with decoupled administration, control, and data planes, a knowledge-defined polymorphic network (KDPN) attainable service architecture was proposed.In the proposed architecture, while mimicking the biological polymorphism, “network knowledge” was acted as a genetic core connecting all the planes, where local network knowledge was extracted from different scenarios and layers of the network.By constructing a network knowledge graph with unified logic, and depending on the service requirement for specific knowledge, different local knowledge could be exchanged and collaborated.Network knowledge will provide guidance and foundation for general network optimization and management across different service scenarios, service layers, and service objectives.KDPN will help the communication networks cope with sophisticated and dynamic service demands and provide dynamic and diversified services to general users promptly and effectively with quality of experience assurances.

Key words: knowledge defined networking, polymorphic network, quality of experience, network intelligence, artificial intelligence

CLC Number:

TN91/TN92

Jingyu WANG, Zirui ZHUANG. Research on a knowledge-defined polymorphic network attainable service architecture[J]. Journal on Communications, 2022, 43(4): 71-82.

Figures/Tables 10

参数	含义
n^M	服务质量指标数量
n^F	服务功能数量
n^R	网络资源数量
n^L	网络设备配置语言数量
n^D	网络需求上限
$m$	服务质量指标向量
$f$	服务功能向量
$r$	网络资源向量
$l$	网络设备配置语言向量
G(V,E)	网络智能管理域域间关系图
H^v(U,O)	网络智能管理域域内关系图
$Ψ^{v}$	域间知识
$Θ^{v}$	域内知识
$h_{v}^{t}$	系统隐含状态
$k_{v}^{t}$	知识特征向量
$Q$	查询向量
$K$	键向量
$V$	值向量
M_t(?)	知识特征生成函数
R (?)	系统性能读出函数

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算法	平均值	标准差
SPF	0.806 0	0.055 2
TE	0.716 2	0.086 0
DRL	0.599 2	0.090 8
KDPN域内	0.530 6	0.076 6
KDPN总体	0.568 3	0.081 3

Research on a knowledge-defined polymorphic network attainable service architecture

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