Wireless Interference Detection and Antenna Parameter Adjustment
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Solution Overview
Problem
Traditional network optimization methods for UMTS wireless networks are manual, resource-intensive, and periodic, leading to suboptimal resource utilization and reduced quality of service due to interference from multiple transmitters, which degrades network performance and user satisfaction.
Innovation Solution
An automated system that detects and reduces interference by selecting cell sites, receiving signal code power measurements, determining interfering transmitters, and adjusting antenna parameters such as tilt and transmit power to minimize interference, using a detection and interference reduction apparatus with a processor and memory to execute algorithms for optimizing network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual network optimization methods are used, then network configuration can be adjusted to improve performance, but the process consumes large amounts of human resources and is lengthy, leading to reduced productivity and suboptimal resource utilization
Solution Approach 1:
The system enables self-service by allowing the wireless network to automatically detect interference sources, analyze signal measurements, and adjust transmitter parameters without human intervention. The automated interference detection and reduction system continuously monitors the network, identifies interfering transmitters, and optimizes configurations autonomously, replacing manual optimization processes.
Solution Approach 2:
The system implements feedback by continuously collecting signal code power measurements from mobile devices, analyzing interference patterns, and using this information to automatically adjust transmitter parameters. The closed-loop feedback mechanism ensures the network continuously learns from measured conditions and adapts configurations to maintain optimal performance.
2Reliability
If manual network optimization is performed periodically, then network configuration can be updated, but network resource usage is not maximized and quality of service is degraded between optimization cycles
Solution Approach 1:
The system ensures continuity of useful action by operating continuously rather than periodically. The automated interference detection system runs continuously, constantly monitoring signal measurements and adjusting transmitter parameters in real-time, ensuring network performance is optimized at all times rather than only during scheduled optimization cycles.
3Reliability
If multiple transmitters serve a mobile station simultaneously in soft handover, then connection reliability is improved, but interfering transmitters cause pilot pollution and reduce network performance
Solution Approach 1:
The system applies taking out by extracting and identifying interfering transmitters from the overall network environment. The interference detection system separates harmful signals from useful signals by analyzing code power measurements, specifically identifying transmitters that are not in the active set but are causing interference, and targets these extracted interferers for parameter adjustment.
Solution Approach 2:
The system implements local quality by applying different parameter adjustments to specific interfering transmitters based on their individual impact. Rather than uniformly adjusting all transmitters, the system identifies which specific transmitters are causing interference in which specific cell sites and applies targeted parameter changes to those local problem areas while leaving other transmitters unchanged.
Data Source
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AI summary
An apparatus, system, method and program detect and reduce interference in cell sites of a wireless communications network. A cell site from the cell sites of the wireless communications network can be selected and signal code power measurements from mobile devices in the cell site are received so that the sources of signals being transmitted to the mobile devices can be determined. Interfering sources can be determined based on the signal code power measurements and the active set of sources for the mobile devices. The signal code power measurements can be summed and ranked, and interfering transmitters associated with the ranked signal code power measurements for the interfering sources can be determined. The same procedure is repeated for all cell sites of the wireless communications network, and the transmitter that is an interfering source for the highest number of cell sites is selected as a problem (interfering) transmitter.