Base Station CSI-RS Bundling for High-Speed UE Channel Estimation
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Solution Overview
Problem
Existing technologies fail to provide accurate channel estimation based on CSI reports when user equipment (UE) is moving at high speed, leading to degraded downlink transmission performance.
Innovation Solution
Implementing bundled CSI-RS transmission and reporting schemes that adapt to UE mobility, where multiple CSI-RSs are transmitted and reported over a consecutive period, with the number and frequency adjusted based on UE speed and transmission performance degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple CSI-RSs are transmitted over consecutive time periods to improve channel estimation accuracy for high-speed UE, then channel estimation accuracy is improved, but signaling overhead and system complexity increase
Solution Approach 1:
The patent implements dynamic CSI-RS transmission by configuring multiple CSI-RS resource sets with different time densities and associating them with different mobility states. The base station dynamically selects which resource set to use based on the UE's measured mobility state, thereby adapting the system complexity and signaling overhead to the actual channel conditions without permanently increasing system complexity for all UEs.
Solution Approach 2:
The patent changes the time density parameter of CSI-RS transmission based on UE mobility state. For high-speed UEs, the system configures higher time density (more frequent CSI-RS transmissions), while for low-speed UEs, lower time density is used. This parameter adaptation allows the system to optimize channel estimation accuracy for moving UEs without unnecessarily increasing complexity for stationary UEs.
2Measurement precision
If multiple CSI-RSs are transmitted over consecutive time periods to improve channel estimation accuracy, then channel estimation accuracy is improved, but signaling overhead increases
Solution Approach 1:
The patent applies local quality by providing different CSI-RS transmission densities to different UEs based on their individual mobility states. Instead of uniformly increasing CSI-RS transmissions for all UEs, the system locally optimizes the resource allocation for each UE, sending multiple CSI-RSs only to UEs that require them (high-speed UEs), thereby minimizing overall signaling overhead while maintaining accuracy where needed.
Solution Approach 2:
The patent implements partial action by selectively applying enhanced CSI-RS transmission only to UEs in high-speed mobility states, rather than to all UEs. The base station measures UE mobility and activates multiple CSI-RS resource sets only when needed, thereby achieving improved channel estimation accuracy for specific UEs without incurring the full signaling overhead cost system-wide.
3Measurement precision
If the base station transmits multiple specific RSs and receives multiple CSI reports, then channel estimation accuracy for high-speed UE is improved, but the number of processing operations increases
Solution Approach 1:
The patent implements feedback mechanisms where the UE reports channel state information based on received CSI-RSs, and the base station uses this feedback to determine the UE's mobility state. The base station then adjusts the CSI-RS transmission strategy accordingly, creating a closed-loop system that automates the adaptation process and reduces manual processing complexity while maintaining accurate channel estimation.
Solution Approach 2:
The patent enables self-service by allowing the system to automatically detect UE mobility states and adjust CSI-RS transmission parameters without external intervention. The base station autonomously measures mobility, selects appropriate resource sets, and configures transmissions, thereby managing the increased processing operations through automated decision-making rather than manual configuration.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate channel estimation even in high-speed UE environments, minimizing downlink transmission performance degradation by enhancing Doppler estimation efficiency.
Implementation Method 1
enabling accurate channel estimation even in high-speed UE environments, minimizing downlink transmission performance degradation by enhancing Doppler estimation efficiency
Data Source
AI summary
The present disclosure proposes a new adaptive channel estimation technology wherein, by reflecting the mobility of UE, accurate channel estimation based on a CSI report according to bundled CSI-RS transmission & CSI reporting regarding UE moving at high speed is possible, thereby minimizing downlink transmission performance degradation even with regard to the UE moving at high speed.