GSM Network Self-Optimization via Dynamic Traffic Redistribution
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Solution Overview
Problem
GSM networks lack real-time monitoring and dynamic adjustment of radio access network parameters, leading to issues such as unnecessary handovers due to uplink antenna branch problems and inefficient traffic distribution, causing service quality degradation and overload in certain base stations.
Innovation Solution
A system and method for self-optimizing GSM radio communication networks by monitoring network resource consumption and quality parameters for each cell, dynamically redistributing traffic between neighboring cells, and adjusting radio access network parameters to maintain service quality, using computer analysis and algorithms to calculate and implement new parameter values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If base station capacity is dimensioned according to past information, then network planning is simplified, but the system cannot adapt to traffic changes causing overload in some base stations and underutilization in others
Solution Approach 1:
The patent implements dynamic adjustment of radio access network parameters including cell reselection parameters, handover parameters, and uplink power control parameters. These parameters are continuously adjusted based on real-time monitoring of traffic load and quality of service measurements, allowing the network to adapt to changing traffic conditions rather than relying on static capacity dimensioning.
Solution Approach 2:
The system employs continuous monitoring and measurement of network resource consumption, quality parameters, and traffic load. These measurements feed back into the parameter adjustment mechanism, creating a closed-loop control system that automatically optimizes network performance by adjusting parameters based on actual network conditions and quality of service requirements.
2Reliability
If manual monitoring of traffic changes is performed, then traffic overload can be detected, but it requires significant manpower and response time is delayed
Solution Approach 1:
The system performs automatic self-optimization by continuously monitoring network parameters and autonomously adjusting radio access network parameters based on measured traffic conditions and quality of service levels. This eliminates the need for manual monitoring and intervention, allowing the network to self-adjust in real-time to traffic changes without human involvement.
Solution Approach 2:
The patent replaces manual mechanical monitoring and adjustment processes with automated electronic measurement and control systems. Computer-based algorithms continuously analyze network data and automatically adjust parameters, substituting human operators with an automated optimization system that responds instantaneously to traffic changes.
3Reliability
If uplink information is not monitored during call setup and handover, then system complexity is reduced, but uplink problems such as damaged connectors and water in cable cannot be detected
Solution Approach 1:
The system performs measurements and evaluations of uplink signal quality and strength before call setup and handover decisions are made. By assessing uplink conditions in advance, the system can identify potential uplink problems such as damaged connectors or cable issues and prevent calls from being established on cells with poor uplink quality, avoiding unnecessary handovers and improving service reliability.
Data Source
AI summary
The invention relates to a system an a method for self optimizing a radio communication network comprising a plurality of radio cells, the system means for monitoring the network resource consumption and quality parameters individually for each cell, and means for distributing the network traffic dynamically between neighboring radio cells in order to maintain satisfactory quality of service in each radio cell.