Measurement Filtering for Wireless Link Blockages
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Solution Overview
Problem
In 5G mmWave wireless systems, temporary blockages of the wireless link between user devices and access points due to obstacles lead to unreliable connections, as existing filtering techniques misinterpret measurement values during blockages, causing erroneous decisions in managing access point clusters.
Innovation Solution
Implement filtering methods that distinguish between time instants when the link is blocked and unblocked, such as interpolation/extrapolation or suspending filtering during blockages, to derive unbiased measurement values for accurate cluster management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing filtering techniques are used to process measurement values, then measurement smoothing is achieved, but misinterpretation of measurement values during temporary blockages occurs leading to erroneous cluster management decisions
Solution Approach 1:
The patent segments the measurement processing into distinct time intervals: pre-blockage, during-blockage, and post-blockage periods. By separating these temporal segments, the system can apply different processing rules to each segment, preventing misinterpretation of blockage-period measurements while maintaining accurate cluster management decisions.
Solution Approach 2:
The patent implements preliminary detection of blockage conditions before finalizing measurement values. By detecting blockage events in advance and marking them separately, the system prevents erroneous measurements from influencing cluster management decisions, thus resolving the contradiction between measurement smoothing and decision accuracy.
2Stability of the object's composition
If measurement filtering is applied continuously, then network stability is maintained, but temporary blockages are misinterpreted as permanent link failures
Solution Approach 1:
The patent dynamically adjusts the filtering process based on detected blockage conditions. When a blockage is detected, the system temporarily modifies its behavior by separating blockage-period measurements from normal operation. This dynamic adaptation allows the network to maintain stability during normal operation while correctly interpreting temporary blockages as transient events rather than permanent failures.
Solution Approach 2:
The patent maintains continuous measurement collection and processing while introducing selective exclusion of blockage-period measurements. By continuing to monitor the wireless link continuously but selectively filtering out corrupted measurements during blockages, the system preserves network stability information while preventing loss of accurate blockage duration information.
3Quantity of substance
If all measurement values are used for cluster management, then comprehensive data is available, but erroneous decisions are made during temporary blockages
Solution Approach 1:
The patent applies local quality differentiation by treating measurements from different time periods differently. Pre-blockage and post-blockage measurements are processed normally and included in cluster management decisions, while blockage-period measurements are selectively excluded or marked. This localized differentiation ensures comprehensive data availability from reliable sources while preventing erroneous decisions based on corrupted blockage measurements.
Data Source
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AI summary
An example technique may include measuring a wireless link between a user device and an access point to obtain a first set of measurement values, detecting that the wireless link is temporarily blocked during the measuring, modifying, based on the wireless link being temporarily blocked, the first set of measurement values to obtain a second set of measurement values, and sending, to a network device, a report indicating the second set of measurement values.