Task Resource Controller (TRC) is an enhanced control-plane layer in 6G networks that extends traditional radio resource control by enabling task-aware signaling, AI control, and computing coordination between the UE and the RAN.
Definition
In 6G wireless communication systems, the control plane is responsible for signaling exchange between the user equipment (UE) and the radio access network (RAN). A Task Resource Control (TRC) layer is introduced between the UE and the RAN node as an enhancement or evolution of the existing Radio Resource Control (RRC) layer.
The TRC layer builds upon traditional RRC functions and introduces additional control capabilities related to task management. These include artificial intelligence (AI) control, computing resource coordination, and task-related data processing. This evolution enables the network to manage not only radio resources but also computing and intelligence resources required by advanced 6G services.
By integrating task-aware control functions into the control plane, TRC supports the requirements of future 6G applications such as intelligent services, distributed computing, and real-time task execution across the network.
Examples
When a central node (cNode) functions as a task agent (TA), it performs task control interaction with the UE using a Task Resource Control (TRC) direct connection interface or indirectly through a secondary node (sNode).
In this architecture, task-related data interaction between the UE and the sNode is carried over a Task Resource Data (TRD) interface. The sNode forwards task data between the UE and the cNode, enabling coordinated task execution across multiple network nodes.
This separation between task control signaling (TRC) and task data transmission (TRD) allows the 6G network to efficiently manage signaling, computing, and data forwarding. As a result, the UE can offload tasks, receive instructions, and execute computing operations with awareness of network intelligence and resource availability.
Such a mechanism is particularly useful for 6G scenarios involving AI-driven services, edge computing, and collaborative task execution between devices and network nodes.
References
6G Control Plane Evolution and Task Resource Control Concepts
(Based on next-generation wireless communication protocol architectures)