AP Load Prediction for WLAN Interference Reduction
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Solution Overview
Problem
Current radio frequency resource allocation methods in WLAN networks primarily focus on minimizing received signal strength indicator (RSSI) sum, which does not effectively reduce actual interference, leading to increased interference and decreased user experience due to the lack of consideration for load-based resource allocation.
Innovation Solution
A method that predicts the load of access points (APs) based on radio frequency information, including RSSI and user usage data, to allocate frequency bandwidth and channels, optimizing resource allocation to reduce network-wide interference and improve user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RSSI information is used as the optimization indicator for radio frequency resource allocation, then the RSSI-related indicator is optimized, but actual interference increases and user experience deteriorates
Solution Approach 1:
The patent changes the optimization parameter from RSSI (received signal strength indicator) to load (user usage data). By predicting AP load based on historical data and using it as the allocation criterion, the system transforms the optimization target from a signal-quality metric to a traffic-load metric, thereby reducing actual interference while maintaining efficient resource utilization
Solution Approach 2:
The patent implements a feedback mechanism by continuously collecting user usage data, predicting future load, and adjusting resource allocation accordingly. The system monitors actual interference and user experience, using this feedback to refine load prediction accuracy and optimize allocation decisions in subsequent cycles
2Productivity
If frequency bandwidth is increased for APs with idle secondary channels, then frequency bandwidth utilization is improved, but interference management becomes more complex
Solution Approach 1:
The patent performs preliminary load prediction before resource allocation, identifying which APs are likely to be heavy-load in the future. This advance preparation allows the system to proactively allocate 80 MHz bandwidth to these APs before interference issues arise, rather than reactively managing interference after it occurs
Solution Approach 2:
The patent applies different resource allocation strategies to different APs based on their predicted load characteristics. Heavy-load APs receive preferential treatment with 80 MHz bandwidth and careful channel selection, while light-load APs receive standard allocation. This localized quality approach optimizes bandwidth utilization without uniformly increasing complexity across all APs
Data Source
AI summary
Embodiments of this application disclose a radio frequency resource allocation method, apparatus, device, system, and a storage medium. The method includes: obtaining radio frequency information of an access point AP (for example, RSSI signal strength between the AP and each neighboring AP, and data traffic of the AP in a data collection period), predicting, based on the radio frequency information of the AP, load of the AP that is in target duration after a current moment, and allocating a radio frequency resource to the AP based on the load of the AP. This implementation can reduce actual interference on an entire network and improve user experience.