Wireless Access Point Parameter Allocation for Dynamic Distance Monitoring
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Solution Overview
Problem
Conventional wireless networks face inefficiencies in dynamically adjusting operational parameters such as transmission power and data rates to maintain stable communication across varying distances and environmental conditions, leading to suboptimal performance and resource utilization.
Innovation Solution
Wireless access points (WAPs) implement per-station and dynamic allocation of operational parameters, determining values based on device type and distance to optimize communication, with the option of offloading some calculations to a network server, allowing for efficient communication by operating within a stable maximum achievable data rate region despite environmental fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional wireless networks use fixed operational parameters, then device compatibility is maintained, but communication efficiency deteriorates under varying environmental conditions
Solution Approach 1:
The patent implements dynamic allocation of operational parameters where the access point continuously monitors environmental conditions (distance, signal strength, interference) and adjusts transmission power, data rates, and modulation schemes in real-time. This transforms the static parameter configuration into a dynamic system that adapts to changing conditions, resolving the contradiction between adaptability and efficiency.
Solution Approach 2:
The system changes multiple operational parameters simultaneously based on environmental feedback - adjusting transmission power levels, modifying data rates, and switching modulation schemes according to measured signal conditions. This multi-parameter adjustment strategy enables the system to optimize communication efficiency while adapting to various environmental scenarios.
2Productivity
If wireless access points continuously monitor and adjust operational parameters, then communication efficiency improves, but system complexity and computational load increase
Solution Approach 1:
The patent divides the parameter allocation task into two segments: the access point handles real-time monitoring and basic adjustments, while a network server handles complex calculations and optimization algorithms. This segmentation reduces the computational burden on individual access points while maintaining overall system efficiency through distributed intelligence.
Solution Approach 2:
The network server acts as an intermediary that receives monitoring data from multiple access points, performs centralized optimization calculations, and returns adjusted parameter recommendations. This intermediary approach simplifies the complexity at the access point level while enabling sophisticated optimization through the mediating server.
3Reliability
If transmission power is increased to maintain data rates over distance, then communication reliability improves, but power consumption increases
Solution Approach 1:
The system dynamically adjusts transmission power based on measured distance and signal conditions rather than using fixed high power levels. When devices are close or conditions are good, power is reduced; when distance increases or conditions deteriorate, power is increased only to the extent necessary to maintain reliable communication, optimizing the reliability-power consumption tradeoff.
Solution Approach 2:
The patent implements dynamic power adjustment where transmission power levels are continuously adapted based on real-time monitoring of signal strength, distance, and environmental factors. This dynamic approach replaces static high-power transmission with adaptive power levels that maintain reliability while minimizing unnecessary energy consumption during optimal conditions.
Data Source
AI summary
A wireless access point (WAP) efficiently adjusts one or more operational parameters, such as transmission power, a data rate, a modulation scheme, and/or an encoding scheme to provide some examples, to provide efficient communication with one or more communication devices. This efficient allocation of the one or more operational parameters can represent a per-station allocation of the one or more operational parameters, a dynamic allocation of the one or more operational parameters, and/or a combination of the per-station allocation and the dynamic allocation. In the per-station allocation, the WAP determines and uses one or more values for the operational parameters for each of the one or more communication devices. In the dynamic allocation, the WAP monitors one or more distances between the WAP and one or more of the one or more communication devices. The WAP can continuously monitor, periodically monitor, or monitor over a discrete period of time the one or more distances. Thereafter, the WAP determines and uses one or more values for the operational parameters for each of the one or more communication devices based upon the one or more distances.