Beam Management via Signal Quality Subset Selection
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Solution Overview
Problem
Wireless networks face challenges in efficiently managing and selecting beams to optimize resource usage across diverse devices with varying communication protocols and hardware capabilities, particularly in multi-device environments where legacy and new protocols coexist.
Innovation Solution
Implementing a method for user equipment (UE) to receive training signals from multiple transmit-receive points (TRPs), decode reference signal resource IDs, determine signal quality measurements, and select a subset of average signal quality measurements for reporting, ensuring efficient beam management and selection in New Radio (NR) networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If beam management is performed in multi-device environments with legacy and new protocols coexisting, then network compatibility and coverage are improved, but resource allocation efficiency and beam selection accuracy deteriorate due to protocol differences and hardware variations
Solution Approach 1:
The patent segments beam management procedures into protocol-specific handling paths. The network device identifies whether a device uses legacy or new protocol through device identification, then applies appropriate beam management procedures for each protocol type separately, avoiding interference between protocol differences and resource allocation
Solution Approach 2:
The patent implements dynamic beam management where the network device adjusts beam selection and resource allocation based on real-time device protocol identification and channel conditions. The system transitions from static beam configuration to dynamic adaptation, selecting optimal beams differently for legacy versus new protocol devices
2Measurement precision
If comprehensive signal quality measurements are performed for all transmit beams, then beam selection accuracy is improved, but measurement time and processing complexity increase
Solution Approach 1:
The patent applies partial action by selecting a subset of transmit beams for measurement rather than all available beams. The network device identifies candidate beams based on preliminary criteria and performs comprehensive measurements only on these selected beams, achieving sufficient accuracy while reducing measurement time and processing load
Solution Approach 2:
The patent implements preliminary beam selection before comprehensive measurement. The network device first identifies promising transmit beams using initial channel assessments or historical data, then performs detailed signal quality measurements only on these pre-selected candidates, avoiding wasteful measurements on unlikely candidates
3Reliability
If multiple transmit-receive points are used for training signals, then beam coverage and reliability are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent merges training signal transmissions from multiple transmit-receive points into a coordinated beam management process. The network device synchronizes training signals across different TRPs and consolidates measurement results, achieving enhanced reliability through diversity while managing complexity through unified processing procedures
Data Source
AI summary
Embodiments of a User Equipment (UE), Next Generation Node-B (gNB) and methods of communication are generally described herein. The UE receive training signals from a plurality of transmit-receive points (TRPs) associated with the gNB. Each training signal may comprise a reference signal resource identifier (ID) to indicate a corresponding TRP and a corresponding transmit direction of a plurality of transmit directions. The UE may, for each transmit direction of the plurality of transmit directions, determine an average signal quality measurement based on individual signal quality measurements in multiple receive directions. The UE may select, for reporting to the gNB, a subset of the average signal quality measurements to ensure that the average signal quality measurements excluded from the subset are less than or equal to a minimum value of the average signal quality measurements in the subset.


