Beam Selection for Accurate Cell Quality Derivation in Handovers
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Solution Overview
Problem
Existing wireless communication networks face inefficiencies in handling beam measurements, particularly when load is not evenly distributed among Transmission and Reception Points (TRPs), leading to inaccurate cell quality derivation during handovers.
Innovation Solution
A mechanism is introduced where a wireless device receives an indication to exclude certain beams from cell quality derivation, controlled by a radio network node, using blacklists or whitelists to manage which beams are included in measurements, thereby ensuring accurate cell quality evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all beams are included in cell quality derivation, then measurement coverage is comprehensive, but measurement accuracy deteriorates when load is not evenly distributed among TRPs
Solution Approach 1:
The patent segments the beam measurement process by introducing blacklists and whitelists that divide beams into included and excluded groups. This segmentation allows the wireless device to focus measurements only on relevant beams (those in the whitelist or not in the blacklist) while ignoring irrelevant ones, thereby improving measurement accuracy by reducing noise from overloaded TRPs while maintaining manageable complexity through structured beam categorization.
Solution Approach 2:
The patent applies partial action by selectively including only certain beams in cell quality derivation based on blacklist/whitelist configurations. Instead of measuring all beams, the system performs measurements on a subset of beams that are deemed relevant, which improves accuracy by excluding beams from overloaded TRPs while reducing the measurement burden compared to exhaustive measurement of all beams.
2Reliability
If beam selection is automated through blacklists and whitelists, then handover decision accuracy improves, but control mechanism complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-configuring blacklists and whitelists of beams before the handover decision process. The radio network node prepares these beam lists in advance based on load distribution and TRP status, so that when cell quality derivation is needed, the wireless device already has a curated set of beams to measure. This preliminary preparation improves handover accuracy by ensuring only relevant beams are considered, while the complexity is managed through standardized configuration procedures.
Solution Approach 2:
The system employs feedback mechanisms where the radio network node monitors TRP load distribution and beam performance, then updates the blacklist and whitelist configurations accordingly. This feedback loop ensures that beam selection adapts to changing network conditions, improving handover decision accuracy. The complexity is justified by the automated nature of the feedback process, which reduces manual intervention while enhancing reliability.
3Productivity
If measurements are performed on all beams, then complete beam assessment is achieved, but resource utilization efficiency decreases due to unnecessary measurements
Solution Approach 1:
The patent extracts irrelevant beams from the measurement process by implementing blacklists that identify and exclude beams from overloaded TRPs or beams that should not be considered for handover decisions. By taking out these unnecessary beams from the measurement set, the system improves resource utilization efficiency by reducing wasted measurement resources while maintaining measurement precision through focused assessment of only the relevant beams.
Data Source
AI summary
A radio network node, a wireless device and methods performed therein for handling communication in a wireless communication network are provided. The method performed by the wireless device comprises obtaining an indication indicating which beams to be included in a cell quality derivation of a cell; and performing one or more measurements on one or more beams, which one or more beams are selected based on the obtained indication. Furthermore, a computer program product and a computer readable storage medium are also provided herein.