Mobile terminal receivers with unidirectional network interfaces are not considered as a special case in the standardization of Mobile IPv6. For the interaction of unidirectional access technologies (DVB-H, DVB-T) and mobile networks (UMTS, WLAN, WIMAX) in heterogeneous IPv6 environment, there is a challenge for unified mobility and QoS management technologies supporting new interactive broadcast services, such as IP Datacast. This paper discusses protocol enhancements of Mobile IPv6 in order to support interactive QoS based multimedia services in hybrid broadcast and mobile IPv6 environment. Interaction of the Link Layer Tunnelling Mechanisms (RFC 3077) with the Mobile IPv6 and Fast Handovers based on "reverse tunnelling info" is used to provide uniform handover support for broadcast and mobile IP services. QoS management for broadcast access Internet network environment is proposed based on resource reservations for the two directions - downstream connection of the un idirectional broadcast network and return tunnel using wireless access network. QoS information base describing the capabilities of the unidirectional access networks and the IP return tunnel network ("feed") is used for enhanced QoS support of interactive services
Dynamic configuration and adaptation of resources for QoS-aware applications in heterogeneous access network environment (UMTS, WIMAX, WLAN DVB-T, DVB-H) using automated tools is a challenge today. The focus of this paper is a toolkit for intelligent management of resource allocation in heterogeneous network infrastructures based on policies of different actors (network operator, service providers and users). Policy based management of resources for QoS-aware applications (Video-on-Demand, Mobile TV) dependent on network capabilities, context learning and preferences of the policy actors is proposed, which enhances the current state-ofthe-art and IETF standardisation. The policy management toolkit includes components for policy specification, adaptation and enforcement, which are interacting using policy repository. The design allows the automated resource adaptation for QoS based applications based on context information and hierarchical dependencies of policy actors. A learning component is integrated in order to discover the context considering measurement and monitoring data. The policy management tookit is discussed, emphasising on ontology driven policy repository design, context learning and flexible scenario-oriented management interfaces for policy specifications
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