Reference Signal Periodicity Across Beam Sets for Lower Overhead
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in resource utilization and increased overhead due to the inability to dynamically adjust reference signal (RS) measurement densities across multiple sets of beams, particularly in the spatial dimension, leading to higher latency and reduced communication quality.
Innovation Solution
The implementation of dynamic RS periodicities for multiple sets of beams, allowing for different measurement frequencies based on machine learning algorithms, enabling the UE and base station to adjust beam sets and periodicities to optimize RS measurements, thereby reducing spatial resource overhead and improving communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single periodicity is used for RS measurements across all beams, then the system configuration is simple, but resource utilization is inefficient and overhead increases
Solution Approach 1:
The patent segments the beam set into multiple subsets, each associated with a different periodicity for RS measurements. This segmentation allows the system to apply different measurement densities to different beam groups, improving resource utilization efficiency while maintaining manageable configuration complexity through structured organization.
Solution Approach 2:
The patent introduces dynamic adjustment capabilities where periodicities can be changed based on beam quality metrics and machine learning predictions. This dynamic approach allows the system to adapt measurement densities in real-time, optimizing resource utilization without requiring complex manual reconfiguration.
2Measurement precision
If RS measurement density is increased for all beams, then measurement precision improves, but resource overhead increases and latency increases
Solution Approach 1:
The patent applies local quality by assigning different periodicities to different beam subsets based on their specific characteristics and quality metrics. High-quality stable beams use lower periodicity (reduced measurement density) while beams requiring closer monitoring use higher periodicity, achieving measurement precision where needed while reducing overall resource overhead.
Solution Approach 2:
The patent changes the periodicity parameter dynamically based on beam quality assessments and machine learning predictions. By adjusting this key parameter, the system optimizes the balance between measurement precision and resource overhead, avoiding unnecessary measurements on stable beams while maintaining precision on beams requiring closer monitoring.
3Productivity
If dynamic adjustment of RS periodicities is implemented, then communication efficiency improves, but device complexity increases
Solution Approach 1:
The patent implements self-service through machine learning algorithms that automatically predict beam quality changes and trigger periodicity adjustments without manual intervention. The system monitors beam metrics, predicts future quality, and dynamically reconfigures measurement parameters autonomously, improving communication efficiency while keeping the control mechanism relatively simple.
Solution Approach 2:
The patent incorporates feedback loops where RS measurement results and beam quality metrics are continuously monitored and fed back to the control entity. This feedback drives dynamic periodicity adjustments, enabling the system to adapt to changing channel conditions and improve communication efficiency through data-driven decision-making.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive control signaling from a network node indicating a reference signal (RS) configuration for RS measurements. The RS configuration may indicate a first set of beams, a first periodicity for measuring RSs on the first set of beams, a second set of beams, and a second periodicity for measuring RSs on the second set of beams. The UE may monitor a wireless channel for a first set of RSs communicated via the first set of beams according to the first periodicity and monitor the wireless channel for a second set of RSs communicated via the second set of beams according to the second periodicity. The UE and the network node may dynamically update one or more of the beam sets, periodicities, or both, to perform RS measurements.