Base Station Channel Allocation for Call Blocking Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Trunked telecommunications networks face challenges in managing call traffic during peak usage, leading to mobile stations being blocked or denied access, which can jeopardize system safety and efficiency.
Innovation Solution
A GOS optimizer analyzes call traffic data to determine the need for additional base station channel hardware, identifies spare mobile stations, and reallocates resources to reduce the probability of access denial, thereby optimizing network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of channels at a base station is increased to reduce call blocking probability, then the grade of service improves, but the hardware complexity and cost increase
Solution Approach 1:
The system dynamically adjusts channel allocation based on real-time traffic conditions and blocking probabilities. Instead of statically increasing channels for all base stations, the system continuously monitors performance metrics and reallocates channels to base stations that need them most, optimizing the balance between service quality and hardware utilization
Solution Approach 2:
The system changes operational parameters (channel allocation, traffic routing) rather than permanently increasing hardware capacity. By adjusting the number of active channels based on calculated blocking probabilities and traffic patterns, the system achieves improved grade of service without permanently adding hardware to all base stations
2Reliability
If additional base station channels are deployed to handle peak traffic, then call access reliability improves, but the network cost and resource utilization worsen
Solution Approach 1:
The system merges channel resources across multiple base stations into a unified pool that can be dynamically allocated. By combining resources and allowing flexible assignment based on real-time needs, the system achieves better call access reliability during peak traffic without permanently deploying additional channels at every location
Solution Approach 2:
Channel resources are designed to serve multiple base stations and multiple traffic patterns universally. The same pool of channels can be allocated to different base stations depending on traffic conditions, making the network resources more versatile and reducing the total quantity needed compared to dedicated channels at each base station
Data Source
AI summary
In some examples, a method can include determining a number of mobile stations that have been used by users to implement a call during a period of time using a base station of a telecommunications network based on traffic data, and determining that the number of mobile stations is equal to or within a value or range of a base station support threshold for the base station, which indicates that there is a probability that a given mobile station of mobile stations will be blocked or denied access from initiating a respective call in using the base station. The method further can include determining a number of additional channels that are needed for the base station to reduce the probability that the given mobile station of the mobile stations will be blocked or denied access from initiating the respective call in the future using the base station.