Access Point 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 RSSI sum, which does not effectively reduce actual interference, as they only consider RSSI information and not the load of access points, leading to increased interference and poor user experience.
Innovation Solution
A method that predicts the load of access points based on radio frequency information, including RSSI and user usage data, to allocate frequency bandwidth and channels, optimizing resource allocation to minimize 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 AP load (access point load). Instead of optimizing based on signal strength measurements, the system optimizes resource allocation based on the actual traffic load of access points. This parameter change fundamentally shifts the optimization objective from minimizing measured signal interference to minimizing actual network interference caused by heavy-load APs, thereby resolving the contradiction between indicator optimization and actual interference reduction.
2Device complexity
If only RSSI information is considered during resource allocation, then the allocation process is simple, but interference reduction effectiveness is poor
Solution Approach 1:
The patent replaces the RSSI parameter with AP load parameter in the resource allocation decision-making process. This substitution maintains the simplicity of the allocation process (still based on a single key parameter per AP) while dramatically improving interference reduction effectiveness, because AP load directly reflects the actual source of network interference rather than just signal strength.
3Productivity
If frequency bandwidth is increased for APs with idle secondary channels, then resource utilization improves, but interference management becomes less effective
Solution Approach 1:
The patent changes the basis for frequency bandwidth allocation from channel availability (idle secondary channel status) to AP load status. Instead of automatically increasing bandwidth for APs with available channels, the system allocates bandwidth based on whether the AP is heavy-load or light-load. This ensures that bandwidth expansion does not inadvertently increase interference from already congested APs, while still improving resource utilization for APs that actually need it.
Solution Approach 2:
The patent applies different resource allocation strategies to different APs based on their local conditions (load status). Heavy-load APs receive one type of allocation (focused on interference reduction), while light-load APs receive another type (focused on resource utilization). This localized quality approach allows the system to simultaneously improve resource utilization and manage interference effectively by tailoring allocations to local needs.
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.


