摘要
为有效自动选择通信链路,降低通信全局风险度,提出了一种基于风险均衡度的电力5G通信链路自动选择方法。首先,以最低全局风险度、最高业务通道可用性为目标函数,以通道带宽、时延与丢包率为约束条件,建立电力5G通信链路自动选择模型。以业务风险度与网络业务风险均衡度等为指标,评估业务风险度。按照风险度大小,由低至高排序通信业务,利用通信链路自动选择模型,优先为风险度较低的业务选择链路。通过量子遗传算法求解通信链路自动选择模型,获取最低全局风险度与最高业务通道可用性值,完成通信链路自动选择。实验证明:该方法可有效获取各通信业务风险度,自动选择通信链路,降低全局风险度,提升业务通道可用性和通道带宽,减少通道时延与丢包率,风险均衡效果较优。
In order to effectively and automatically select communication links and reduce the global risk of communication,this paper proposes an automatic selection method of power 5G communication links based on risk balance.First of all,taking the lowest global risk and the highest service channel availability as the objective functions,and taking the channel bandwidth,delay and packet loss rate as the constraints,the automatic selection model of power 5G communication link is established.The busi‐ness risk degree is evaluated by taking the business risk degree and the network business risk balance degree as indicators.According to the degree of risk,the communication services are sorted from the lowest to the highest.The automatic selection model of communication links is used to give priority to the selection of links for the services with lower risk.The automatic selection model of communication links is gotten through quantum genetic algorithm,to obtain the lowest global risk and the highest service channel availability value,and complete the automatic selection of communication links.Experiments show that this method can effectively obtain the risk degree of each communication service,automatically select the communication link,reduce the global risk degree,improve the availability and bandwidth of the service channel,reduce the channel delay and packet loss rate,and achieve better risk balancing effect.
作者
齐放
张成
柯旺松
胡晨
Qi Fang;Zhang Cheng;Ke Wangsong;Hu chen(Information&Communication Branch of Hubei EPC,Wuhan 430070,China)
出处
《电子技术应用》
2023年第4期1-6,共6页
Application of Electronic Technique
关键词
风险均衡度
电力5G通信
通信链路
自动选择
通道可用性
量子遗传算法
risk balance degree
power 5G communication
communication link
automatic selection
channel availability
quan‐tum genetic algorithm
