Dynamic Antenna Mapping for Multi-Application Wireless Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing information handling systems face inefficiencies in managing multiple wireless connections for various applications, as they often require different antenna mappings that are not optimized in real-time, leading to suboptimal resource utilization.
Innovation Solution
A dynamic antenna mapping system that uses real-time operational data to determine an optimized antenna mapping plan, prioritizing applications with higher bandwidth needs and distributing workload across multiple antennas based on location, time, and day, using a dynamic antenna mapping task agent to continuously adjust antenna settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static antenna mapping is used, then device complexity is reduced, but productivity and resource utilization deteriorate
Solution Approach 1:
The patent implements dynamic antenna mapping by continuously monitoring application data and connectivity status to real-time adjust antenna assignments. The system transitions from static to dynamic mapping, allowing antenna allocation to change based on current network conditions and application requirements, thereby optimizing resource utilization without manual intervention.
Solution Approach 2:
The system establishes a feedback loop where application data and connectivity status are continuously monitored, processed, and used to adjust antenna mappings. This closed-loop control enables the system to learn from real-time conditions and automatically optimize resource allocation, improving productivity while managing complexity through automated decision-making.
2Productivity
If real-time dynamic mapping is implemented, then productivity improves, but device complexity increases
Solution Approach 1:
The system performs self-optimization by automatically monitoring its own state, processing application data, and adjusting antenna mappings without external intervention. This self-service capability enables real-time optimization of bandwidth allocation while containing complexity within the system's automated control logic, eliminating the need for manual configuration.
Solution Approach 2:
The patent dynamically changes mapping parameters based on real-time application data and connectivity status. By adjusting antenna assignments, bandwidth allocation, and connection priorities as parameters change, the system optimizes performance for current conditions while managing complexity through programmable parameter adjustments rather than hardware changes.
3Adaptability or versatility
If multiple applications share antennas, then adaptability improves, but reliability deteriorates
Solution Approach 1:
The system segments antenna resources by creating separate mapping plans for different applications based on their priority levels and bandwidth requirements. High-priority applications receive dedicated antenna assignments during critical periods, while lower-priority applications share resources during non-critical times, maintaining both adaptability and reliability through structured resource partitioning.
Solution Approach 2:
The patent implements dynamic priority management that adjusts application priorities and antenna assignments in real-time based on network conditions and application needs. This dynamic adjustment allows the system to allocate resources flexibly to maintain connection stability for critical applications while still supporting multiple applications simultaneously, resolving the contradiction between versatility and reliability.
Data Source
AI summary
An information handling system is disclosed and may include a processor, a memory, and a power management unit (PMU). The processor may execute code instructions of a dynamic antenna mapping task agent that is configured to generate an optimized antenna mapping plan for one or more applications, one or more containers of related applications, or a combination thereof, wherein the optimized mapping plan determines which of the one or more applications, one or more containers, or a combination thereof is to use which one of one or more antennas, one or more wireless connections, or a combination thereof within the information handling system while the one or more application, one or more container, or combination thereof is operating within the information handling system.