Adaptive Antenna Configuration for Wi-Fi Access Points
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Solution Overview
Problem
Advanced Wi-Fi standards like 802.11ax and 802.11be face challenges in maximizing transmit diversity and network throughput due to regulatory power limits and correlation gains between antennas, leading to suboptimal performance and connectivity issues.
Innovation Solution
An adaptive antenna configuration method that determines a preliminary configuration based on maximum transmission power, adjusts it according to network-level factors, and further optimizes it based on client-specific conditions to increase the number of transmitting antennas while maintaining regulatory compliance and improving diversity and throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of transmitting antennas is increased to improve transmit and receive diversity, then network performance and throughput are improved, but correlation gain between transmitting antennas increases and regulatory power limits are exceeded
Solution Approach 1:
The patent implements dynamic antenna configuration where the access point adjusts the number of transmitting antennas based on real-time network conditions, client requirements, and regulatory power limits. This dynamic adaptation allows the system to maximize diversity when beneficial while complying with power regulations when necessary.
Solution Approach 2:
The system changes the parameter of antenna configuration by determining a preliminary configuration based on maximum transmission power, then adjusting it according to network-level factors and client-specific conditions. This parameter optimization resolves the contradiction by finding the optimal balance between diversity and power compliance.
2Productivity
If the number of transmitting antennas is increased to improve throughput, then network performance is enhanced, but connectivity to client devices at the edge of the network deteriorates
Solution Approach 1:
The patent applies different antenna configurations for different clients based on their specific conditions and locations. Clients at the network edge receive optimized configurations that prioritize connectivity, while clients in optimal positions can benefit from higher throughput configurations. This local optimization resolves the contradiction between overall throughput and edge connectivity.
Solution Approach 2:
The system dynamically adjusts antenna configurations based on real-time assessment of client-specific conditions, allowing it to adapt to varying network conditions and maintain connectivity for edge clients while maximizing throughput where possible.
3Reliability
If the number of transmitting antennas is increased to maximize diversity, then transmit diversity is improved, but device complexity and configuration management become more difficult
Solution Approach 1:
The access point autonomously determines and adjusts antenna configurations based on network conditions and client requirements without requiring manual intervention. The system self-optimizes by evaluating multiple factors and automatically selecting the appropriate configuration, thereby reducing complexity for operators while maintaining high diversity performance.
Solution Approach 2:
The system uses feedback from network conditions, client performance, and regulatory requirements to continuously optimize antenna configurations. This closed-loop approach simplifies management by allowing the system to self-adjust based on real-time performance data rather than requiring complex manual configuration.
Data Source
AI summary
Embodiments for preliminary antenna configuration for a radio in an access point are described. A preliminary antenna configuration with a first number of antennas transmitting at a first power level based on a maximum transmission power for the radio is used to determine a second antenna configuration based on network level factors, where the second antenna configuration includes a second number of antennas. The second antenna configuration is used to determine a third antenna configuration from the second antenna configuration, where the third antenna configuration includes a third number of antennas transmitting at a third power level based on a client transmission factors for a plurality of client devices connected to the access point. The third antenna configuration is used to transmit network traffic from the access point to the plurality of client devices using the third antenna configuration.