Dynamic Sounding Interval for Wireless Beamforming
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Solution Overview
Problem
Existing wireless communication systems face challenges in determining an optimal sounding interval for updating transmission beamforming, which affects signal-to-noise ratio and overhead, leading to suboptimal performance due to environmental changes.
Innovation Solution
An electronic device iteratively determines a sounding interval by communicating with other devices using both transmission beamforming and without, calculating performance metrics like throughput, and revising potential intervals based on transmission statistics until convergence is achieved, allowing dynamic adaptation to environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a short sounding interval is used to update transmission beamforming frequently, then the signal-to-noise ratio is improved, but the overhead increases
Solution Approach 1:
The sounding interval is made dynamic rather than fixed. The system iteratively tests different sounding intervals and selects the optimal one based on measured performance metrics (signal-to-noise ratio and overhead), allowing the interval to adapt to changing environmental conditions while balancing the tradeoff between SNR and overhead
Solution Approach 2:
The system changes the parameter of sounding interval to find the optimal value. By iteratively testing different interval values and measuring the resulting signal-to-noise ratio and overhead, the system identifies the parameter setting that best balances these two competing requirements
2Quantity of substance
If a long sounding interval is used to reduce overhead, then the overhead is reduced, but the signal-to-noise ratio deteriorates
Solution Approach 1:
The sounding interval is made dynamic rather than fixed. The system iteratively tests different sounding intervals and selects the optimal one based on measured performance metrics (signal-to-noise ratio and overhead), allowing the interval to adapt to changing environmental conditions while balancing the tradeoff between SNR and overhead
Solution Approach 2:
The system changes the parameter of sounding interval to find the optimal value. By iteratively testing different interval values and measuring the resulting signal-to-noise ratio and overhead, the system identifies the parameter setting that best balances these two competing requirements
3Adaptability or versatility
If transmission beamforming is updated regularly, then the adaptation to environmental changes is improved, but the overhead increases
Solution Approach 1:
The sounding interval is made dynamic rather than fixed. The system iteratively tests different sounding intervals and selects the optimal one based on measured performance metrics (signal-to-noise ratio and overhead), allowing the interval to adapt to changing environmental conditions while balancing the tradeoff between SNR and overhead
Solution Approach 2:
The system changes the parameter of sounding interval to find the optimal value. By iteratively testing different interval values and measuring the resulting signal-to-noise ratio and overhead, the system identifies the parameter setting that best balances these two competing requirements
Data Source
AI summary
In order to determine a sounding interval, an electronic device iteratively revises a set of potential sounding intervals based on transmission statistics associated with communication of some packets with and other packets without transmission beamforming for the set of potential sounding intervals. In particular, the electronic device calculates rank positions for the set of potential sounding intervals based on an estimated throughput and numbers of packets transmitted with transmission beamforming for the set of potential sounding intervals out of a total number of packets transmitted. Then, the electronic device may determine the output sounding interval based on the ranking. When the convergence criterion is achieved, the electronic device may determine a moment based on calculated frequencies of the rank positions over multiple iterations, which is used to revise the set of potential sounding intervals in the next iteration.


