Reference Signal Mapping via REG Bundle Superset
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G NR, face challenges in channel estimation due to overlapping resource element groups (REG) with cell-specific reference signals (CRS), leading to degraded signal-to-noise ratio (SNR) and interference, which affects the monitoring and demodulation of physical downlink control channels (PDCCH).
Innovation Solution
The method involves transmitting reference signals over REG bundles that are part of the same superset as the REG bundles carrying downlink transmissions, allowing user equipment (UE) to monitor a broader spectrum for improved channel estimation by assuming a common precoder across these bundles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reference signals are transmitted only over REG bundles carrying downlink transmissions, then resource utilization is efficient, but channel estimation performance degrades due to limited measurement resources
Solution Approach 1:
The patent combines multiple REG bundles into a superset structure, where reference signals are transmitted across all REG bundles within the superset. This merging allows the UE to perform channel estimation using reference signals from multiple REG bundles simultaneously, improving measurement precision while efficiently utilizing the combined resources of the superset rather than treating each REG bundle independently.
Solution Approach 2:
The superset structure enables REG bundles to serve dual purposes: some REG bundles carry downlink transmissions while others carry reference signals for channel estimation. This multi-functionality allows the same superset resources to support both data transmission and channel measurement functions, improving channel estimation performance without proportionally increasing total resource consumption.
2Reliability
If REG bundles are monitored individually for channel estimation, then resource allocation is simple, but interference from cell-specific reference signals degrades signal-to-noise ratio
Solution Approach 1:
The patent merges multiple REG bundles into a superset and applies a common precoder across all REG bundles within the superset. This combining approach allows the UE to perform channel estimation using reference signals from multiple REG bundles, improving signal-to-noise ratio by averaging out interference from cell-specific reference signals. The precoder granularity is extended to the superset level, maintaining manageable complexity while improving reliability.
3Measurement precision
If precoder granularity is limited to individual REG bundles, then system complexity is low, but channel estimation accuracy deteriorates due to overlapping reference signals
Solution Approach 1:
The patent introduces a new hierarchical dimension by creating supersets that group multiple REG bundles together. Instead of treating precoder granularity at the individual REG bundle level, the superset structure allows reference signals to be transmitted and measured across multiple REG bundles simultaneously. This dimensional change from individual REG bundle to superset level enables improved channel estimation accuracy while managing complexity through structured grouping.
Data Source
AI summary
Certain aspects are directed to a user equipment (UE) configured to receive reference signals from a network node via multiple resource element groups (REGs) including at least one REG carrying a downlink transmission. In some examples, the UE may be configured to receive, from the network node, communication parameters for a downlink transmission, the communication parameters indicative of a first resource element group (REG) bundle and a second REG bundle. In some examples, the UE may receive the downlink transmission via the first REG bundle. In some examples, the UE may be configured to perform channel estimation of the downlink transmission based on reference signals transmitted via the first REG bundle and the second REG bundle.


