Dynamic Reference Signal Mapping for 5G Channel Estimation
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Solution Overview
Problem
In future 5G systems operating at different frequencies and using various subcarrier spacing configurations, the fixed mapping method for reference signals results in either excessively low or high density, leading to inaccurate channel estimation and deteriorated communication quality due to inter-subcarrier interference (ICI) caused by phase noise, especially in millimeter-wave bands.
Innovation Solution
A resource mapping method that dynamically determines the density of reference signals in the frequency and time domains based on subcarrier spacing configuration parameters, current operating frequency, moving speed, and scheduled bandwidth, ensuring the density matches the coherence bandwidth and coherence time of the channel, thereby improving channel estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed mapping method for reference signals is used in high and low frequency systems, then the system complexity is reduced and ease of operation is improved, but the channel estimation accuracy deteriorates due to excessively low or high reference signal density
Solution Approach 1:
The reference signal mapping method transitions from a fixed static configuration to a dynamic adaptive configuration. The time-frequency resource locations for reference signals are determined based on current operating conditions including subcarrier spacing configuration parameters, operating frequency, moving speed, and scheduled bandwidth. This allows the reference signal density to automatically adapt to different channel conditions, resolving the contradiction between operational simplicity and estimation accuracy.
Solution Approach 2:
The invention changes the parameters governing reference signal mapping based on system operating conditions. Specifically, the time-frequency resource locations are adjusted according to subcarrier spacing configuration parameters, operating frequency, moving speed, and scheduled bandwidth. This parameter adaptation ensures optimal reference signal density for channel estimation across diverse operating scenarios, maintaining accuracy without sacrificing system complexity.
2Measurement precision
If reference signal density is increased to improve channel estimation accuracy, then measurement precision is improved, but the loss of information increases due to excessive reference signals occupying data resources
Solution Approach 1:
The invention dynamically adjusts reference signal density parameters based on actual channel conditions and system requirements. By determining time-frequency resource locations according to subcarrier spacing configuration, operating frequency, moving speed, and scheduled bandwidth, the system achieves optimal reference signal density that provides sufficient channel estimation accuracy while minimizing resource occupation and information loss.
3Device complexity
If a fixed reference signal mapping method is used across different frequency bands, then device complexity is reduced, but reliability deteriorates due to inaccurate channel estimation in millimeter-wave bands affected by phase noise and inter-subcarrier interference
Solution Approach 1:
The reference signal mapping method adapts dynamically to different frequency bands and channel conditions. By determining time-frequency resource locations based on subcarrier spacing configuration parameters and operating frequency, the system maintains reliable channel estimation in challenging millimeter-wave environments without significantly increasing device complexity.
Solution Approach 2:
The invention adjusts mapping parameters according to operating conditions including subcarrier spacing configuration, operating frequency, and scheduled bandwidth. This parameter adaptation ensures reliable channel estimation across different frequency bands, particularly in millimeter-wave systems where phase noise and inter-subcarrier interference are significant concerns.
Data Source
AI summary
Embodiments of the present invention disclose a resource mapping method. The method includes: obtaining, by a transmit end, at least one of subcarrier spacing configuration parameter information, current operating frequency information, a currently supported moving speed, and scheduled bandwidth information; determining, by the transmit end based on the at least one of the subcarrier spacing configuration parameter information, the current operating frequency information, the currently supported moving speed, and the scheduled bandwidth information, a time-frequency resource location for mapping a reference signal; and mapping, by the transmit end, the reference signal at the time-frequency resource location.