Beam-Specific KPI Signaling for Accurate Serving Node Selection
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Solution Overview
Problem
Existing wireless communication systems lack beam-specific key performance indicators (KPIs), leading to unnecessary cell re-selection or handover procedures due to the use of cell-specific performance metrics that do not reflect individual beam performance, resulting in inefficient beamformed wireless communications.
Innovation Solution
Implementing beam-specific KPI indication by sharing beam-specific information, such as latency, throughput, and measurement offsets, to communication devices within a network, allowing them to select optimal beams for communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cell-specific performance metrics are used for beam selection, then the system can maintain simple measurement and reporting mechanisms, but beam selection becomes inaccurate leading to unnecessary cell re-selection and handover procedures
Solution Approach 1:
The patent segments the cell-specific performance metrics into beam-specific performance metrics. Instead of measuring and reporting only cell-level metrics, the system now measures and reports metrics for each individual beam within a cell. This segmentation enables accurate beam selection while maintaining manageable complexity through structured measurement and reporting procedures for each beam.
Solution Approach 2:
The patent introduces a new dimension of measurement by transitioning from cell-level metrics to beam-level metrics. This dimensional change adds beam identification and beam-specific performance data to the existing measurement framework, enabling precise beam selection without fundamentally redesigning the entire measurement system.
2Reliability
If beam-specific KPIs are implemented, then beam selection reliability is improved, but the complexity of performance measurement and reporting increases
Solution Approach 1:
The patent segments the performance measurement process into beam-specific components. Each beam is measured individually for KPIs such as throughput, latency, and error rates, allowing reliable beam selection based on actual beam performance. The segmentation is managed through standardized measurement procedures and reporting formats for each beam.
Solution Approach 2:
The patent implements feedback mechanisms where beam performance metrics are collected, analyzed, and used to inform beam selection decisions. The system provides feedback about beam performance to the communication device, enabling reliable selection based on actual measured KPIs while managing complexity through structured feedback loops.
3Ease of operation
If cell re-selection procedures are performed based on cell-specific metrics, then the selection process remains simple, but communication reliability decreases due to unnecessary handovers
Solution Approach 1:
The patent segments the selection process into beam-level evaluations. Instead of simply comparing cell metrics, the system now evaluates individual beam metrics including throughput, latency, and error rates. This segmentation enables more reliable communication by selecting the optimal beam while maintaining operational simplicity through automated beam-based selection procedures.
Solution Approach 2:
The patent changes the parameters used for selection from cell-level metrics to beam-level metrics. By using beam-specific KPIs such as beam throughput, beam latency, and beam error rates, the system achieves higher communication reliability. The parameter change is managed through standardized measurement and evaluation frameworks for each beam.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. For example, a communication device may receive control signaling (e.g., a broadcasted control signal) from another communication device. The control signaling may indicate beam information for one or more beams of a set of beams. The one or more beams may correspond to the serving cell or one or more neighboring cells. The beam information may include one or more metrics associated with each of the one or more beams. As such, the communication device may determine that a metric associated with each of the one or more beams satisfies a threshold, select the beam, and communicate using the selected beam. In some other examples, the beam-specific information may include beam measurement offsets for one or more beams. In such examples, the communication device may select a beam based on the beam measurement offsets and perform communications using the selected beam.