Wireless Transmitter Power and EVM Adaptation for Variable SINR
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Solution Overview
Problem
Conventional Wi-Fi transmitters face suboptimal link performance due to fixed transmission power settings based on default EVM values, which do not account for varying receiver SINR conditions, leading to inefficient data transmission.
Innovation Solution
A wireless transmitter dynamically adjusts transmission power and EVM to optimize SINR at the receiver by using feedback information to select the optimal power and MCS, allowing for improved data transmission performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transmission power is increased to improve detection performance, then received signal power increases, but transmitted signal distortion increases due to power amplifier non-linear effects
Solution Approach 1:
The patent applies dynamics by making the transmission power adjustable rather than fixed. The system dynamically selects from multiple transmit power levels (e.g., 14 dBm, 17 dBm, 20 dBm) based on channel conditions and receiver feedback, allowing optimal power selection that balances detection performance against distortion generation.
Solution Approach 2:
The patent implements feedback mechanisms where the receiver measures SINR and EVM, then feeds this information back to the transmitter. The transmitter uses this feedback to adjust its transmission power and MCS selection, creating a closed-loop system that resolves the contradiction between improving detection and minimizing distortion.
2Device complexity
If fixed EVM values are used for transmission power settings, then device complexity is reduced, but link performance becomes suboptimal due to varying receiver SINR conditions
Solution Approach 1:
The system transitions from static fixed EVM values to dynamic EVM adjustments. The transmitter adapts its EVM target based on receiver feedback about SINR conditions, allowing optimal performance across varying channel conditions while maintaining manageable complexity through standardized adaptation rules.
Solution Approach 2:
The patent changes the EVM parameter dynamically based on operating conditions. Instead of using a single fixed EVM value, the system adjusts EVM targets (e.g., -35 dB, -40 dB, -45 dB) according to receiver feedback, enabling optimal link performance across different SINR conditions.
3Productivity
If high PHY rates are used to enable shorter transmit times, then productivity increases, but reliability decreases due to higher susceptibility to channel conditions
Solution Approach 1:
The system dynamically selects PHY rates (MCS) based on real-time channel conditions and receiver feedback. Instead of using fixed high rates, the transmitter adapts the MCS level to match current SINR conditions, optimizing the trade-off between transmission speed and error rate.
Solution Approach 2:
The patent changes the PHY rate parameter dynamically by selecting from multiple MCS levels (0-9) based on receiver feedback. This allows the system to achieve high productivity when channel conditions permit while maintaining reliability when conditions deteriorate.
Data Source
AI summary
A positioning method and apparatus, a WLAN device, and a storage medium are disclosed, and relates to the field of positioning technologies. The positioning method includes: a WLAN device obtains an uplink scheduling parameter sent by another WLAN device to a plurality of to-be-positioned WLAN devices, where the uplink scheduling parameter is used to indicate radio resources allocated to the plurality of to-be-positioned WLAN devices; the WLAN device receives uplink signals; and the WLAN device measures respective positioning data of the plurality of to-be-positioned WLAN devices based on the radio resources of the plurality of to-be-positioned WLAN devices and the received uplink signals. The embodiments can improve positioning timeliness of the to-be-positioned WLAN devices.