Wireless Link Parameter Adjustment for Resource Management
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Solution Overview
Problem
Multifunction wireless devices face resource management challenges due to the variable resource demands of different wireless tasks, leading to potential performance issues when resource-intensive tasks overwhelm available resources, impacting concurrent connections and overall apparatus performance.
Innovation Solution
The system identifies resource-intensive tasks and adjusts operational parameters of existing wireless links to reallocate resources, such as reducing data rates or suspending operations, to avoid conflicts and ensure sufficient resources for critical tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resources are allocated equally to all wireless connections, then connection stability is improved, but resource-intensive tasks cannot be expedited
Solution Approach 1:
The system dynamically adjusts link parameters of wireless connections based on real-time resource requirements. When a resource-intensive task is identified, the system modifies parameters such as data rate, transmission power, or packet size for existing links to free up resources for the high-priority task, then restores parameters afterward. This dynamic adjustment resolves the contradiction by making resource allocation flexible rather than static.
Solution Approach 2:
The invention changes operational parameters of wireless links (e.g., data rate, modulation scheme, transmission power) to reallocate resources. By temporarily degrading parameters of non-critical connections, the system frees resources for resource-intensive tasks while maintaining overall system functionality and connection stability.
2Productivity
If resources are reallocated to expedite resource-intensive tasks, then task completion speed is improved, but connection stability may deteriorate
Solution Approach 1:
The system performs preliminary identification of resource-intensive tasks before they fully consume resources. By detecting task characteristics in advance, the system can proactively adjust link parameters to reserve necessary resources, ensuring both task completion speed and connection stability are maintained through planned rather than reactive resource management.
Solution Approach 2:
The system continuously monitors resource usage and connection performance, using this feedback to make informed adjustments to link parameters. When resources are reallocated for high-priority tasks, the feedback mechanism ensures that connection degradation is detected and corrected, maintaining overall system reliability while enabling expedited task completion.
3Productivity
If link parameters are adjusted to free resources, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The system implements self-service resource management where the wireless communication apparatus automatically identifies resource-intensive tasks and adjusts its own link parameters without external intervention. This self-managing approach improves resource allocation efficiency while avoiding the complexity of external control systems by leveraging built-in monitoring and adjustment capabilities.
Data Source
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AI summary
A system for allocating communication resources in an apparatus. For example, an apparatus that is enabled to support a plurality of wireless transports may identify a resource-intensive task to be executed using a wireless transport. Prior to the execution of the resource-intensive task, the apparatus may determine if any wireless links already exist, and whether to alter operational parameters for one or more of the existing wireless links in order to make resources available for expediting completion of the resource-intensive task.