Transmission Channel Resource Allocation for Frequency-Selective Interference Mitigation
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Solution Overview
Problem
Existing wireless communication systems face challenges in determining optimal transmission channel resources to mitigate frequency-selective interference, especially for communications between an access point and a moving conveyance, where unpredicted interferers cause damageable interference.
Innovation Solution
A method that determines transmission channel resources by considering a first figure of merit representing robustness to frequency-selective interference from unpredicted interferers and a second figure of merit representing robustness to predicted interferers, optimizing channel allocation to ensure successful communication while meeting Quality of Service (QoS) targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transmission channel resources are allocated in unlicensed ISM radio band to enable concurrent communications, then system capacity and coverage are improved, but frequency-selective interference from unpredicted interferers increases
Solution Approach 1:
The system performs preliminary actions by obtaining interference profiles from multiple access points before allocating transmission channel resources. The network controller collects interference information in advance, predicts potential interference from unpredicted interferers, and pre-determines robust resource allocation strategies before actual data transmission occurs, thereby mitigating frequency-selective interference while maintaining system capacity
Solution Approach 2:
The system implements feedback mechanisms where access points continuously report interference profiles and channel conditions to the network controller. This feedback loop enables dynamic adjustment of transmission channel resource allocation based on actual interference conditions, allowing the system to adapt to frequency-selective interference from unpredicted interferers while maintaining optimal productivity
2Reliability
If transmission channel resources are diversified across frequency bands to mitigate interference, then robustness to frequency-selective interference is improved, but device complexity increases
Solution Approach 1:
The network controller extracts and centralizes the complex task of interference analysis and resource allocation decision-making from individual access points. By collecting interference profiles from multiple APs and performing centralized optimization, the system achieves diversified frequency band allocation for improved robustness while reducing the computational complexity burden on individual access points and mobile devices
3Reliability
If quality of service constraints are enforced to ensure successful data transmission, then communication reliability is improved, but flexibility in resource allocation decreases
Solution Approach 1:
The system implements dynamic resource allocation that adapts to changing interference conditions while enforcing QoS constraints. The network controller continuously updates transmission channel resource assignments based on real-time interference profiles from multiple access points, allowing flexible adaptation to frequency-selective interference from unpredicted interferers while maintaining guaranteed quality of service for data transmission
Data Source
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AI summary
For determining transmission channel resources to be allocated for a communication, a processing device: obtains an interference profile representative of interference with said communication implied by at least one predicted interferer; determines, for each set of transmission channel resources made available to perform said communication, a first figure of merit representative of robustness to frequency-selective interference with said communication that might be implied by unpredicted interferers; determines from the interference profile, for each set of transmission channel resources made available to perform said communication, a second figure of merit representative of robustness to frequency-selective interference with said communication that is expected to be implied by predicted interferers; and selects transmission channel resources that optimize the first figure of merit under a QoS-target constraint applied to the second figure of merit.