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为了充分利用现有的CATV网络资源，更好地向用户提供信息服务，开发了基于CATV网的多媒体数据广播系统，它能够提供多种信息服务。当多个用户同时请求服务时，可能会出现数据广播通道的拥塞，因此需要对系统进行流量控制和拥塞控制。提出了数据广播系统中突发业务的自学习控制模型，在此基础上，控制器针对不同网络传输状态采取不同的控制策略。
In order to make full use of the existing CATV network resources and better provide users with information services, a multimedia data broadcasting system based on CATV network has been developed, which can provide a variety of information services. When multiple users request services at the same time, data broadcast channel congestion may occur, so the system needs traffic control and congestion control. A self-learning control model of burst service in data broadcasting system is proposed. Based on this, the controller adopts different control strategies for different network transmission states.