Frequency-Dependent Residual Sideband Correction for Adaptive Demodulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems face challenges in accurately demodulating signals due to frequency-dependent residual sideband (FDRSB) impairments, which affect communication quality and efficiency.
Innovation Solution
The implementation of a frequency-dependent residual sideband (FDRSB) indication mechanism that provides an average power level associated with transmission antennas, allowing for demodulation based on the state of an FDRSB correction function, considering both the average FDRSB power level and estimated total noise level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If FDRSB correction function is always activated, then demodulation accuracy is improved, but device complexity and power consumption increase
Solution Approach 1:
The FDRSB correction function transitions from a static always-on state to a dynamic state that adapts based on real-time FDRSB power level measurements. The system dynamically activates or deactivates the correction function based on whether the measured FDRSB power exceeds a threshold, allowing the processing complexity to match the actual impairment level.
Solution Approach 2:
The system changes the operational parameter (correction function state) based on the measured FDRSB power level parameter. When the FDRSB power level parameter exceeds a threshold, the correction function is activated; otherwise, it is deactivated, optimizing the balance between accuracy and complexity.
2Reliability
If FDRSB correction is always applied, then signal quality is improved, but power consumption increases
Solution Approach 1:
The power consumption is dynamically adjusted by conditionally activating the FDRSB correction function only when necessary. The system monitors FDRSB power levels and activates correction only when the measured level exceeds a threshold, reducing unnecessary power consumption during normal operating conditions.
Solution Approach 2:
The system performs self-assessment by measuring its own FDRSB power level and automatically决定是否 to activate correction, eliminating the need for continuous correction and reducing power consumption when the impairment is negligible.
3Device complexity
If FDRSB correction function is deactivated, then device complexity is reduced, but demodulation accuracy deteriorates
Solution Approach 1:
The system changes the correction function state based on the FDRSB power level parameter. When the measured FDRSB power level is below a threshold, the correction function is deactivated to reduce complexity; when it exceeds the threshold, the function is activated to maintain accuracy.
Solution Approach 2:
The system uses feedback from FDRSB power level measurements to control the correction function state. The measured FDRSB power level feeds back to the control logic, which adjusts the correction function activation state accordingly, ensuring accuracy is maintained only when necessary.
4Measurement precision
If FDRSB indication is transmitted, then UE can optimize demodulation, but network overhead increases
Solution Approach 1:
The patent extracts only the essential FDRSB power level information and transmits it as a compact indication to the UE. This selective extraction of necessary information allows the UE to optimize demodulation without transmitting excessive data, minimizing network overhead while maintaining demodulation accuracy.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a frequency dependent residual sideband (FDRSB) indication that indicates an average FDRSB power level associated with at least one transmission antenna of a network node. The UE may receive a communication from the network node, the receiving comprising demodulating the communication based on a state of an FDRSB correction function of the UE, the state of the FDRSB correction function being based on at least one of the average FDRSB power level or an estimated total noise level. Numerous other aspects are described.


