Portable OTA Test Device for Inter-Cluster Sync Errors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing synchronization testing in cellular networks only checks for synchronization within a cluster, failing to identify out-of-sync conditions between neighboring clusters, leading to signal interference and degraded service.
Innovation Solution
A portable test device that performs over-the-air measurements to assess synchronization between neighboring clusters, providing a graphical user interface to visualize synchronization status and guide technicians to adjust timing for alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing testing methods are used, then testing within a single cluster is possible, but synchronization errors across neighboring clusters cannot be detected
Solution Approach 1:
The test device is designed to perform multiple functions: it can test synchronization within a single cluster and across neighboring clusters, measure TDD cell phase synchronization, and identify cross-link interference issues. This multi-functionality allows the same device to adapt to different testing scenarios and provide comprehensive network synchronization validation.
Solution Approach 2:
The invention extends testing from a single-cluster dimension to a multi-cluster dimension by having the test device receive signals from base stations in neighboring clusters simultaneously. This dimensional expansion enables detection of inter-cluster synchronization errors that were previously undetectable with single-cluster testing methods.
2Reliability
If TDD cell phase synchronization is not maintained within 3GPP standards, then network interference and reduced capacity occur, but existing methods cannot detect out-of-sync conditions across clusters
Solution Approach 1:
The test device provides feedback by comparing measured frame start timing differences against the 3GPP standard threshold of 3 microseconds. When the deviation exceeds this threshold, the device identifies a synchronization error and can indicate the specific clusters involved, enabling network operators to take corrective action to maintain reliable network performance.
Solution Approach 2:
The test device acts as an intermediary measurement tool between multiple base stations in neighboring clusters. It receives synchronization signals from different clusters, processes the timing information, and provides objective measurements of inter-cluster synchronization status, making the detection of synchronization errors feasible across cluster boundaries.
3Measurement precision
If over-the-air measurements are taken across neighboring clusters, then synchronization errors can be identified, but measurement complexity and device portability requirements increase
Solution Approach 1:
The test device performs self-service by autonomously receiving synchronization signals from multiple base stations, automatically calculating frame start timing differences, and independently determining whether synchronization errors exist. This self-contained operation reduces the need for complex external measurement infrastructure and simplifies the overall measurement system.
Solution Approach 2:
The invention replaces complex wired measurement systems with over-the-air wireless measurements. The test device communicates with base stations through wireless signals, eliminating the need for physical connections and reducing mechanical complexity while maintaining measurement accuracy across distributed cluster locations.
Data Source
AI summary
A test device may be a portable test device that can perform over the air measurements to determine synchronization errors between clusters in a cellular network. The test device can generate a graphical user interface that can show a map of the boundary area between clusters, locations of base stations in the boundary area, locations where over the air measurements were taken by the test device, an indication of whether cells are in synchronization for each measurement location, and a table of actual measurements and derived parameters pertaining to cell phase synchronization, interference and other performance metrics.