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Radio communication system air interface theoretical state occurrence probability estimation procedure uses Bayesian network model
Radio communication system air interface theoretical state occurrence probability estimation procedure uses Bayesian network model
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机译：无线电通信系统空中接口理论状态发生概率估计程序采用贝叶斯网络模型
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摘要
A radio communication system air interface theoretical state occurrence probability estimation (KALK) procedure models air interface status using three groups of process variables, for characteristics, errors and measured status, in a Bayesian network with probabilities set from causal relations between data transmission and air interface parameters using data entered in a databank (DB) using a graphical user interface (GUI1, 3) and graphical display (GUI2) and verification (GUI3) of the model. Includes Independent claims for equipment and computer programs using the procedure.
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