Coordinated Data Flow Synchronization in Multi-Modal Wireless Groups

The patent introduces a coordination entity (application server or network function) as an intermediary to manage data flow coordination between UEs. This intermediary receives coordination requests, determines coordination parameters, and provides coordination rules to UEs, thereby enabling reliable data stream coordination without requiring complex peer-to-peer coordination mechanisms between UEs themselves.

The coordination system is segmented into distinct functional components: UE-side coordination clients, network coordination functions, and application servers. Each segment handles specific aspects of coordination (e.g., local trigger evaluation, remote trigger reception, rule enforcement), allowing the overall system to achieve reliable coordination while maintaining manageable complexity through modular design.

A network coordination function acts as an intermediary to manage coordinated communication groups. This intermediary handles group formation, member management, and coordination rule distribution, enabling efficient resource consumption coordination across grouped UEs without requiring each UE to independently manage complex group dynamics and resource allocation.

UEs equipped with coordination clients can autonomously evaluate local triggers and apply coordination rules based on their own resource status and communication needs. This self-service capability allows UEs to independently optimize their resource consumption within the coordinated group context, reducing the coordination overhead and management complexity that would otherwise be required from centralized control.

The coordination entity serves as an intermediary that prepares and distributes coordination rules to UEs. These rules encapsulate the complex synchronization logic for multi-modal services, allowing UEs to simply evaluate triggers and apply pre-defined actions rather than implementing complex synchronization algorithms themselves, thereby achieving reliable service-level synchronization with minimal UE processing complexity.

Coordination rules and synchronization parameters are determined and distributed to UEs in advance by the coordination entity. This preliminary action allows UEs to be pre-configured with the necessary coordination logic before actual multi-modal service execution, enabling them to perform simple trigger evaluation and rule application rather than complex real-time synchronization processing.

The coordination entity acts as an intermediary that generates, manages, and distributes coordination rules and policies to UEs. This intermediary maintains the master coordination information, evaluates trigger conditions, and provides appropriate rules to UEs based on current system state, thereby enabling automated coordination while centralizing information management to prevent loss or inconsistency of coordination data.

The coordination system implements feedback mechanisms where UEs report their state and trigger evaluations to the coordination entity, which then adjusts and redistributes coordination rules as needed. This continuous feedback loop ensures that coordination information remains current and accurate, maintaining high automation while preventing information loss through active monitoring and updates.