Network Resource Controller Capacity Forecasting for Load Balancing
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Solution Overview
Problem
Current network resource allocation solutions in cellular networks fail to accurately predict and manage radio channel capacities, leading to network congestion and poor Quality of Service (QOS) and Quality of Experience (QOE) due to inadequate accounting for aggregate network subscriber usage metrics and static channel assignment methods.
Innovation Solution
A system and method for determining and forecasting radio channel capacities of regional network base stations to optimize service handovers, using a network resource controller that calculates current and maximum available capacities based on user load and consumption habits, and adjusts resource allocation to balance loads across neighboring cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static channel assignment methods are used, then device complexity is reduced, but network capacity and QOS deteriorate due to inability to adapt to dynamic traffic loads
Solution Approach 1:
The system enables base stations to autonomously determine their own radio channel capacities and perform self-optimization through automated algorithms that forecast capacity needs and execute handover decisions without manual intervention, allowing the network to adapt dynamically while maintaining operational simplicity
Solution Approach 2:
The patent implements dynamic resource allocation by continuously forecasting radio channel capacities based on current user loads and historical patterns, allowing the network to adapt capacity assignments in real-time according to actual traffic conditions rather than relying on static pre-allocated channels
2Productivity
If manual resource allocation is used, then ease of operation is maintained, but productivity deteriorates due to inability to respond to dynamic subscriber usage patterns
Solution Approach 1:
The system continuously monitors current user loads, handover metrics, and network performance data, using this feedback to dynamically adjust radio channel capacity forecasts and optimize resource allocation decisions, enabling the network to respond automatically to changing subscriber usage patterns
Solution Approach 2:
The patent forecasts future radio channel capacities based on current conditions and historical patterns before actual capacity needs arise, allowing the system to proactively prepare and execute optimal resource allocation and handover decisions in advance of traffic peaks or congestion events
3Reliability
If capacity forecasting is not implemented, then device complexity is reduced, but reliability deteriorates due to network congestion and poor QOS
Solution Approach 1:
The patent replaces manual capacity planning and static configuration methods with automated algorithms that compute radio channel capacities based on mathematical models of user load patterns, handover metrics, and historical network data, substituting mechanical/manual processes with computational systems that provide consistent and reliable QOS
Data Source
AI summary
A networked computing system including multiple network base stations, user equipment, a network resource controller (NRC), and a data communications network facilitating communications amongst all devices of the networked computing system. The NRC determines a current radio channel available capacity based on a user load associated with regional user equipment, and then forecasts a maximum radio channel capacity based on the current radio channel available capacity. The NRC may be a network base station and it may determine a number of additional user equipment it can support as a component of the forecast maximum radio channel capacity. The NRC/base station may be further configured to determine a handover threshold utilizing the forecast maximum radio channel capacity, and when the NRC base station's number of users exceeds the handover threshold, one or more user equipment may be handed over to a second network base station with better service capacity.