Dynamic Network Configuration for Cellular Handover Optimization
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Solution Overview
Problem
Managing traffic flows in mobile cellular networks is challenging due to the complexity of non-contiguous spectrum deployment across different frequency bands and radio access technologies, leading to sudden and unanticipated traffic load anomalies that can impact Quality of Service (QoS).
Innovation Solution
A dynamic network configuration (DNC) framework that detects network events and applies configuration changes based on operational policies, including a service and load-aware handover configuration policy to optimize handover procedures between cells, ensuring efficient resource allocation and maintaining QoS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If non-contiguous spectrum deployment across multiple frequency bands is used to meet capacity needs and provide deployment flexibility, then network capacity and spectrum utilization are improved, but traffic load management complexity and difficulty of detecting and measuring traffic anomalies increase
Solution Approach 1:
The patent segments the network into multiple cell groups, each with its own traffic flow characteristics. By dividing the complex multi-band network into manageable segments, the system can monitor and detect traffic anomalies in each segment independently, making the detection process more effective despite the overall network complexity
Solution Approach 2:
The patent implements feedback mechanisms where traffic flow measurements are continuously monitored and fed back to the network management system. This feedback loop enables real-time detection of traffic load anomalies and allows for dynamic adjustment of handover parameters to maintain QoS
2Reliability
If handover procedures are optimized based on user equipment, service type, and cell load conditions, then Quality of Service is improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent applies different handover configuration parameters tailored to specific cell conditions, user equipment types, and service requirements. Instead of a uniform handover approach, each cell can have customized parameters (such as handover thresholds, offsets, and timing) that are locally optimized for its specific traffic patterns and load characteristics
Solution Approach 2:
The system dynamically changes handover parameters based on real-time cell load conditions and traffic patterns. By adjusting parameters such as handover thresholds and offsets according to current network state, the system achieves QoS optimization without requiring fundamentally complex device architecture
3Adaptability or versatility
If dynamic network configuration changes are applied in response to network events, then adaptability to traffic load anomalies is improved, but loss of time for configuration changes and system stability may worsen
Solution Approach 1:
The patent pre-configures multiple handover parameter sets corresponding to different traffic load scenarios and QoS requirements. When a traffic anomaly is detected, the system can immediately switch to a pre-prepared configuration set rather than calculating new parameters in real-time, significantly reducing the time required for adaptation
Solution Approach 2:
The system implements dynamic handover configuration where parameters are adjusted in real-time based on network events and traffic conditions. This dynamic approach allows the network to adapt flexibly to changing conditions while maintaining stability through controlled parameter transitions
Data Source
AI summary
Aspects of the subject disclosure may include, for example, detecting a triggering event based on a monitoring of utilization of a target cell within a cellular network system. A configuration policy including a handover configuration parameter set is determined, responsive to the triggering event. A target cell of a plurality of neighboring cells of the source cell is identified and a handover procedure of a user equipment from the source cell to the target cell is configured based on the handover configuration parameter set. The source cell provides the handover configuration parameter set to the user equipment connected to the source cell. The user equipment, while connected to the source cell, performs handover measurements from the source cell to the target cell based on the handover configuration parameter set, and a handover of the user equipment from the source cell to the target cell is based on the handover measurements. Other embodiments are disclosed.