Cellular Network Traffic Control via Autonomous Load Classification
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Solution Overview
Problem
Current cellular network traffic control methods face challenges in efficiently managing resource utilization across multiple Radio Access Technologies (RATs) and bands, particularly in balancing load distribution between cells and optimizing network performance.
Innovation Solution
A method and system that continuously classify downlink and uplink loads relative to predefined thresholds, enabling dynamic provisioning of cell reselection and footprint parameters, and independent uplink load classification to redirect traffic without inter-AP communication, applicable to multi-vendor and multi-standard networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional traffic control methods are used in cellular networks, then load distribution between cells can be managed, but communication overhead between access points increases and network efficiency decreases
Solution Approach 1:
The patent enables access points to autonomously classify uplink and downlink loads and make independent provisioning decisions without requiring communication with other access points. Each AP self-determines its load state and independently adjusts cell reselection and footprint parameters, eliminating the need for inter-AP communication protocols and reducing signaling overhead while maintaining effective load balancing
Solution Approach 2:
The patent segments the traffic control function into independent uplink and downlink classification processes. Each direction is classified separately with independent thresholds and provisioning actions, allowing parallel processing and eliminating the need for coordinated communication between access points for bidirectional load management
2Adaptability or versatility
If dynamic load balancing is performed by continuously evaluating cell congestion and altering network parameters, then traffic distribution is optimized, but system complexity and processing requirements increase
Solution Approach 1:
The patent employs predefined uplink and downlink load thresholds that trigger specific provisioning actions. Instead of complex continuous optimization algorithms, the system uses simple parameter comparisons against threshold values to determine when to alter cell reselection parameters or footprint parameters, reducing computational complexity while maintaining adaptability to load conditions
Solution Approach 2:
The patent pre-configures load thresholds and provisioning action rules before operation. The classification and provisioning logic is prepared in advance with predetermined criteria, eliminating the need for complex real-time calculations and decision-making algorithms during runtime, thus reducing system complexity while preserving optimization capability
Data Source
AI summary
There are provided a system and a method of controlling traffic in a cellular network comprising a plurality of controlled access points (APs) configured to serve passengers in one or more trains moving in accordance with a train schedule. The method comprises: prior to a scheduled event associated with an expected substantive increase of passengers to be served by an AP, obtaining expected classification results indicative of an expected, during the scheduled event, load of the AP with respect to a downlink and/or uplink load thresholds; and at a scheduled time enabling providing pre-configured provisioning actions in accordance with the expected classification results. The method can further comprise collecting data informative of moving, responsive to moving the one or more trains in accordance with the train schedule, load between APs; and processing the collected data to obtain data informative of the expected load of the AP during the scheduled event.