Autonomous TCI State Updates for Low-Latency mTRP Scheduling
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Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, face challenges in efficiently managing Transmission Configuration Indicator (TCI) states, leading to suboptimal performance due to latency and inefficiencies in updating these states, especially in multi-transmission and reception point (mTRP) scenarios.
Innovation Solution
Implementing autonomous updating of TCI states by user equipment (UE) based on scheduling information and CSI-RS, allowing UE to update TCI states independently when permitted, or requiring base station instructions when not permitted, and supporting mTRP environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If TCI states are updated only through base station instructions, then system control and reliability are maintained, but latency increases and updating efficiency deteriorates
Solution Approach 1:
The base station pre-configures multiple TCI states and provides scheduling information to the UE in advance, enabling the UE to autonomously select and update TCI states without waiting for explicit base station instructions during transmission, thus reducing latency while maintaining controlled updates
Solution Approach 2:
The UE autonomously updates TCI states by independently determining whether updates are needed based on scheduling information and CSI-RS measurements, performing self-service updates without requiring continuous base station control signals, thereby reducing update latency
2Productivity
If TCI states are updated autonomously by UE, then latency is reduced and updating efficiency improves, but device complexity and potential for errors increase
Solution Approach 1:
The base station provides scheduling information and CSI-RS feedback to the UE, which the UE uses to autonomously determine whether TCI state updates are needed, creating a feedback-driven autonomous update mechanism that balances efficiency with controlled complexity
Solution Approach 2:
The system changes the operational parameters of TCI state updates from fully base-station-controlled to UE-autonomous based on scheduling conditions, allowing the UE to adjust update behavior dynamically based on channel conditions and scheduling information
3Reliability
If TCI states are updated more frequently, then communication performance and beamforming optimization improve, but signaling overhead and system resource consumption increase
Solution Approach 1:
The UE performs partial autonomous updates only when scheduling information indicates it is necessary, rather than updating TCI states continuously or excessively, achieving performance improvement while avoiding unnecessary signaling overhead
Data Source
AI summary
In some aspects, a user equipment (UE) receives scheduling information that schedules a channel state information reference signal (CSI-RS). The UE determines whether to autonomously update a transmission configuration indicator (TCI) state in response to the scheduled CSI-RS based, for example, on CSI-RS power metrics or payload size of a CSI report. Then, depending upon the determination, the UE either autonomously updates the TCI state or updates the TCI state only in response to TCI state update instructions received from the base station. In other aspects, a UE receives scheduling information from a multiple transmission and reception point (mTRP) base station that schedules a CSI-RS. The UE autonomously updates TCI states for use with the mTRP base station. Complementary operations may be performed by the base station. These and other aspects described herein may reduce latency and improve performance between a UE and a base station.