Adaptive TPC Thresholds for AP Interference and Backhaul Limits
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Solution Overview
Problem
Current RRM techniques fail to account for switch and backhaul capacity limits, leading to inefficient bandwidth allocation and resource management in wireless networks, particularly in environments with high-frequency reuse, causing interference and suboptimal performance.
Innovation Solution
Implementing a machine learning-based approach that incorporates path loss measurements and simulations to optimize transmit power control (TPC) recommendations, balancing network performance and interference mitigation through adaptive TPC thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wider bandwidths (e.g., 160 MHz) are allocated to increase data rates, then spectral capacity and throughput potential are improved, but interference on channels increases due to high-frequency reuse
Solution Approach 1:
The system dynamically changes transmit power parameters based on simulated network conditions and actual switch/backhaul capacity. By adjusting TPC thresholds as a variable parameter rather than a fixed value, the system can allocate wider bandwidths when capacity allows while reducing power during high interference periods, thus resolving the contradiction between maximizing data rate and minimizing interference.
Solution Approach 2:
The system implements a feedback mechanism where network performance is continuously monitored, simulated under different TPC configurations, and used to adjust future power allocation decisions. This closed-loop feedback allows the system to learn from past bandwidth allocations and interference patterns, optimizing the balance between throughput and interference mitigation over time.
2Adaptability or versatility
If current RRM techniques allocate bandwidth without considering switch and backhaul limits, then bandwidth allocation flexibility is improved, but resource allocation efficiency deteriorates
Solution Approach 1:
The system performs preliminary simulation of network performance under different TPC configurations before actual bandwidth allocation. By pre-evaluating switch and backhaul capacity constraints through simulation, the system can make informed bandwidth allocation decisions that are both flexible and efficient, avoiding allocations that would exceed infrastructure limits.
Solution Approach 2:
The system autonomously determines optimal TPC settings by simulating network performance and comparing against switch/backhaul capacity limits without requiring manual configuration. This self-service capability allows the system to automatically adapt bandwidth allocations to infrastructure constraints, improving resource allocation efficiency while maintaining flexibility.
3Area of stationary object
If transmit power is increased to overcome path loss and extend coverage, then coverage area is improved, but interference to neighboring APs increases
Solution Approach 1:
The system determines TPC settings on a per-AP basis, allowing each access point to have customized transmit power thresholds tailored to its specific environment, path loss characteristics, and neighboring AP configurations. This localized approach enables coverage extension in areas needing it while limiting interference in sensitive directions, resolving the contradiction between coverage and interference.
Solution Approach 2:
The system makes TPC settings dynamic rather than static, allowing transmit power thresholds to change based on current network conditions, simulated performance, and interference levels. This dynamic adjustment enables the system to expand coverage when conditions permit while automatically reducing power when interference becomes problematic, balancing coverage area and interference generation.
Data Source
AI summary
Disclosed are systems, apparatuses, methods, and computer-readable media for adaptive transmit power control threshold recommendations in wireless networks. A method includes: retrieving network usage information from APs associated with a location, wherein the network usage information identifies network consumption information of each wireless device connected to that AP, non-period events, and interrupts, wherein the network usage information from a first AP includes a path loss associated with messages from neighboring APs; determining first TPCs for each AP of the APs associated with the location based on path losses between each AP; simulating network performance using the first TPCs and the network usage information; and measuring network performance information associated at each AP based on the simulation of the network performance; and determining second TPCs for each AP of the APs associated with the location based on the network information.