Dynamic Access Node Scheduling for Network Load Balancing
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Solution Overview
Problem
Current telecommunication systems lack dynamic scheduling mechanisms that effectively balance load and prioritize packet transmissions based on user experience, leading to suboptimal service quality during high network loads or poor channel conditions.
Innovation Solution
Implement a system that determines traffic distribution and usage patterns using packet inspection data to dynamically assign and adjust scheduling algorithms for access nodes, ensuring optimal resource allocation and user experience by monitoring and adapting to real-time traffic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a pre-configured and fixed scheduler is used to manage packet transmissions based on RF needs, then the scheduling process is simple and reliable, but the system cannot dynamically adapt to changing traffic conditions or user experience requirements
Solution Approach 1:
The patent implements dynamic scheduling by transitioning from a fixed scheduler to a dynamic scheduler that selects from multiple scheduling algorithms based on real-time traffic distribution and usage patterns. The system monitors packet data and traffic conditions, then dynamically switches between different scheduling algorithms (e.g., proportional fairness, data rate scheduling) to optimize performance under varying network conditions.
Solution Approach 2:
The system changes scheduling parameters by selecting different scheduling algorithms based on monitored traffic distribution and usage patterns. The scheduler adjusts its behavior by parameter changes - switching between different algorithms and adjusting scheduling decisions based on real-time network conditions, user experience metrics, and traffic characteristics.
2Productivity
If a fixed scheduler driven by RF needs is used, then the system structure is simple, but load balancing and service quality optimization are insufficient during high network loads
Solution Approach 1:
The patent implements feedback mechanisms where the system monitors packet data, traffic distribution, and usage patterns in real-time. This feedback information is used to evaluate network conditions and select appropriate scheduling algorithms, creating a closed-loop system that continuously optimizes service quality based on actual performance metrics and user experience.
Solution Approach 2:
The system performs preliminary analysis of packet data and traffic patterns to determine traffic distribution and usage patterns before making scheduling decisions. By proactively analyzing network conditions and pre-selecting appropriate scheduling algorithms based on predicted traffic conditions, the system optimizes resource allocation before congestion occurs.
3Reliability
If packet inspection and traffic monitoring are implemented to enable dynamic scheduling, then service quality and resource allocation improve, but system complexity and processing overhead increase
Solution Approach 1:
The patent segments the scheduling system into distinct functional components: packet inspection module, traffic distribution analysis module, usage pattern detection module, and dynamic scheduler module. Each component handles specific tasks independently, making the complex system more manageable and maintainable while enabling specialized optimization at each stage.
Data Source
AI summary
Systems and methods are described for scheduling transmissions from an access node. A traffic distribution and usage pattern associated with an access node may be determined based on an inspection of packet transmission data. A scheduling algorithm may be assigned to a particular set of usage characteristics based on the determined traffic distribution and usage pattern. The traffic distribution and usage pattern associated with the access node may be monitored for a set of criteria. The scheduling algorithm may be selected based on the monitored traffic distribution and packet data for at least one wireless device may be transmitted using the selected scheduling algorithm.