Dynamic Neighbor List Formation in Wireless Systems
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Solution Overview
Problem
Conventional methods for generating and maintaining neighbor lists in wireless communication systems are time-intensive, costly, and prone to errors, and fail to account for time-dependent variations in pilot signal strengths and cell boundaries, leading to inaccurate lists that can cause access failures and system outages.
Innovation Solution
A method for dynamically forming neighbor lists based on information provided by mobile units, using signal strength measurements and thresholds to add or remove cells from the list, allowing for real-time adjustments and reducing reliance on human-centric testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional empirical methods are used to generate neighbor lists through manual testing and measurements, then the neighbor list can be initially populated, but the process is time-intensive, costly, and prone to errors
Solution Approach 1:
The system enables automatic neighbor list generation where mobile units self-report pilot signal measurements to the base station, which then automatically populates the neighbor list without requiring manual testing or human intervention. This eliminates the time-consuming and error-prone manual process while maintaining accuracy through real-time signal measurements.
Solution Approach 2:
The system implements a feedback mechanism where mobile units continuously measure pilot signal strengths from neighboring cells and report these measurements to the serving base station. The base station uses this feedback information to dynamically update and maintain the neighbor list, ensuring it remains accurate without requiring periodic manual re-testing.
2Reliability
If manual testing and configuration are used to populate neighbor lists, then initial coverage can be established, but the lists become static and cannot respond to time-dependent variations in pilot signal strengths and cell boundaries
Solution Approach 1:
The neighbor list transitions from a static manually-configured structure to a dynamic automatically-updated structure. Mobile units continuously monitor pilot signal strengths and report changes to the base station, which then dynamically updates the neighbor list in real-time to reflect current network conditions, signal variations, and cell boundary movements.
Solution Approach 2:
The system establishes a continuous feedback loop where mobile units report pilot signal measurements to the base station, enabling real-time detection of signal strength variations and cell boundary shifts. This feedback mechanism allows the neighbor list to adapt dynamically to changing network conditions, maintaining high reliability throughout the system's operation.
3Measurement precision
If extensive manual testing is performed to ensure accurate neighbor lists, then initial accuracy can be achieved, but operational expenses increase due to the time-intensive and costly testing process
Solution Approach 1:
The system eliminates expensive manual testing operations by enabling mobile units to automatically perform signal measurements and report results to the base station. This self-service approach replaces costly human testing efforts with automated device-based measurements, significantly reducing operational expenses while maintaining or improving accuracy through continuous real-time data collection.
Solution Approach 2:
The patent replaces the mechanical process of manual testing and configuration with an automated electronic system. Mobile units electronically report pilot signal measurements directly to the base station, which automatically processes this data to populate and update the neighbor list, eliminating the need for physical testing equipment and human operators.
Data Source
AI summary
The present invention provides a method of dynamically forming a neighbor list in a wireless communication system. Embodiments of the method may include forming a neighbor list associated with at least one sector based on information provided by at least one mobile unit.