Predictive Resource Management for mixed IP/DTV Services in Broadcasting Networks
نویسندگان
چکیده
Convergence of digital video broadcasting networks and IP wireless networks represents undoubtedly the main evolution in next generation of services combining one-way digital television and interactive Internet applications. This cross-industry synergy is jointly driven by the tremendous growing interest to Internet services and the planned adoption of the Digital Switch Over (DSO) in UHF, enabling broadband terrestrial digital broadcasting infrastructures (e.g. DVB-T). Within this mixed context, an important issue arises concerning the management of resources between IP applications and DTV services. The paper investigates this issue and presents a solution based on an interactive Dynamic Bandwidth Management System (iDBMS), with prediction functionalities and using adaptive filtering techniques for optimal provisioning of concurrent IP and Digital TV services over a fast DVB-T backbone. We compare the performances of the iDBMS solution with existing schemes using the Opportunistic Data Insertion mode (ODI) under OPNET simulator. We show that the proposed mechanism permits to maximize the resource allocation between the Digital TV and the IP bandwidth in mixed environments, while still maintaining the perceived quality.
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