Service Modeling Method for Wireless Network Based on Joint Features Probability Distribution and Time Correlation
Future wireless network such as civil wireless network and aviation wireless network needs to support increasingly diverse traffic types and Information Interaction demands.The different service characteristics including packet size characteristics and packet arrival interval characteristics are of crucial importance for wireless network.However,existing researches on wireless network traffic modeling rarely models both service features and their time correlation,which leads to inaccurate service models.A joint features probability distribution and time correlation method is proposed based on service modeling method for wireless network,ensuring the probability distribution and time correlation of service features.The proposed method is general and can be applied not only to the service modeling of civil wireless network,but also to the field of aviation wireless,which is conducive to achieving the service characteristics and conducting more optimized and deterministic resource allocation.
service modelingtime correlationwireless networkwireless local area network
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