Dynamic Network Channel Modification via Centralized Coordinator
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Solution Overview
Problem
In communications systems using multiple sub-channels, existing technologies face challenges in maximizing network efficiency and satisfying Quality of Service (QoS) requirements due to varying channel performance and competing connection demands.
Innovation Solution
A centralized coordinator (CCo) monitors network performance and re-configures sub-channels and modulation settings across connections, considering multiple system parameters to optimize resource allocation and balance competing needs, ensuring overall network utilization and QoS satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sub-channel allocation and modulation settings are fixed after initial configuration, then system complexity is reduced and ease of operation is improved, but network efficiency and QoS satisfaction deteriorate due to varying channel performance and competing connection demands
Solution Approach 1:
The patent implements dynamic sub-channel allocation and modulation adjustment where the system continuously monitors channel performance metrics (signal-to-noise ratio, bit error rate, channel occupancy) and automatically reconfigures sub-channel assignments and modulation schemes based on current network conditions. This allows the system to adapt to varying channel performance and competing connection demands, resolving the contradiction between operational simplicity and network efficiency by making the system dynamically adjustable rather than statically fixed
Solution Approach 2:
The system changes key parameters including sub-channel allocation patterns, modulation order (QPSK, 16-QAM, 64-QAM), and coding rates based on real-time channel quality measurements. By dynamically adjusting these parameters in response to changing network conditions, the system maintains high network efficiency and QoS satisfaction without requiring manual reconfiguration, thus resolving the contradiction between ease of operation and productivity
2Productivity
If the system dynamically adjusts sub-channel allocation and modulation to maximize network efficiency, then network utilization and QoS satisfaction are improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent introduces a central coordinator entity that acts as an intermediary between network devices and channel resources. This coordinator collects channel performance data from multiple devices, performs centralized optimization calculations for sub-channel allocation and modulation settings, and distributes the optimized configuration to relevant devices. By centralizing the complex optimization functions, the system achieves high network efficiency while individual devices maintain relatively simple implementations, thus resolving the contradiction between network productivity and device complexity
Solution Approach 2:
The system segments the network management functions by separating monitoring tasks (performed by individual devices), optimization calculations (performed by the central coordinator), and configuration execution (performed by individual devices). This segmentation allows the complex optimization logic to be isolated in a dedicated coordinator entity, reducing the complexity burden on individual network devices while maintaining overall system efficiency and QoS satisfaction
3Adaptability or versatility
If multiple connections compete for sub-channel resources, then network adaptability and QoS customization are improved, but resource allocation conflicts and performance degradation occur
Solution Approach 1:
The patent implements local quality optimization by allocating sub-channels with appropriate modulation schemes to each connection based on its specific QoS requirements and the local channel conditions for that connection. High-priority connections with stringent QoS requirements receive sub-channels with more robust modulation (e.g., QPSK) and higher allocation guarantees, while lower-priority connections can use higher-order modulation (e.g., 64-QAM) on available sub-channels. This localized optimization ensures each connection receives appropriate resources and quality levels, resolving the contradiction between network adaptability for different QoS needs and maintaining reliable performance for all connections
Data Source
AI summary
Embodiments of the present invention comprise methods and systems for establishment and modification of network allocation parameters.