UE CG-SDT Resource Selection by Transmission Phase

The patent implements dynamic resource selection where the UE adapts its CG resource usage based on the current data transmission phase. During the initial phase, the UE uses a first CG resource, and upon receiving feedback, transitions to a second CG resource for subsequent transmissions. This dynamic adaptation allows the system to utilize multiple resources effectively while maintaining manageable complexity through phase-based control logic.

The patent segments the data transmission process into distinct phases (initial phase and subsequent phase) with different resource allocation strategies. By dividing the transmission process and assigning specific CG resources to each phase, the system manages complexity through structured segmentation while maximizing data transmission capacity across multiple HARQ processes.

The network device pre-configures multiple CG resources and their associated phase transition conditions before data transmission begins. The UE is provided with RRC configuration information that includes parameters for determining when to switch between resources based on feedback reception. This preliminary configuration reduces the need for continuous control signaling during transmission, as the UE can autonomously make phase transitions based on pre-agreed criteria.

The patent utilizes parameter-based resource selection where different CG resources are associated with different transmission phases. The UE determines which resource to use by evaluating parameters such as feedback reception status and phase state. This parameter-driven approach enables dynamic resource scheduling that adapts to transmission conditions while minimizing control overhead through efficient parameter encoding and interpretation.

The patent implements a feedback mechanism where the network device sends acknowledgment or negative acknowledgment information to the UE after receiving data. The UE uses this feedback to determine whether to remain in the initial phase or transition to the subsequent phase. This feedback-driven phase determination simplifies the decision process compared to complex measurement-based approaches, as the UE only needs to evaluate the received feedback state against pre-configured criteria.

The UE autonomously determines its current transmission phase and selects the appropriate CG resource based on pre-configured rules and received feedback, without requiring continuous network intervention. The UE self-manages the phase transitions and resource selection by evaluating its own transmission state and the network's feedback responses. This self-service approach improves efficiency while managing complexity through autonomous decision-making based on simple evaluation criteria.