Frequency Domain Spectral Shaping for Wireless Uplink
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Solution Overview
Problem
Existing wireless communication systems face challenges in achieving high spectral efficiency and reducing peak-to-average-power ratio (PAPR) in uplink transmissions, particularly at higher frequencies, leading to coverage issues and degraded signal quality.
Innovation Solution
Implementing frequency-domain spectral shaping (FDSS) with discrete Fourier transform and adjustable window functions to optimize filter parameters, allowing for dynamic configuration of filtering conditions and assisting user equipment (UE) in selecting optimal filters for improved transmitter and receiver performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If frequency-domain spectral shaping is applied to reduce PAPR and improve spectral efficiency, then peak-to-average-power ratio is reduced and spectral efficiency is improved, but detection performance may be degraded due to filter parameter optimization requirements
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting filter parameters (such as window function types and coefficients) based on channel conditions and transmission requirements. This allows the system to optimize the balance between PAPR reduction and detection performance by selecting appropriate parameter sets for different operational scenarios.
Solution Approach 2:
The patent implements dynamics by making the spectral shaping filters adaptive rather than fixed. The filter parameters are dynamically configured based on real-time channel state information, allowing the system to respond to varying conditions and maintain optimal performance across different transmission environments.
2Productivity
If spectral shaping is implemented to achieve high spectral efficiency, then bandwidth utilization is improved, but device complexity increases due to filter parameter configuration requirements
Solution Approach 1:
The patent applies universality by designing a multi-functional spectral shaping framework that can handle various transmission scenarios through a single unified approach. The system supports multiple filter types and configuration options within a common architecture, reducing overall system complexity while maintaining high spectral efficiency across different applications.
Solution Approach 2:
The patent uses parameter changes to simplify the configuration process by providing a standardized set of filter parameters that can be dynamically adjusted rather than requiring complex reconfiguration. This approach maintains spectral efficiency while reducing the operational complexity of filter management.
3Reliability
If dynamic filter configuration is applied to optimize transmitter and receiver performance, then detection performance is improved, but ease of operation is reduced due to configuration requirements
Solution Approach 1:
The patent applies self-service by enabling the system to automatically configure and optimize filter parameters based on channel conditions without requiring manual intervention. The automatic parameter selection and adjustment processes handle the complexity internally, maintaining high detection performance while simplifying user operation.
Solution Approach 2:
The patent implements feedback mechanisms that automatically adjust filter parameters based on transmission performance metrics and channel state information. This closed-loop approach optimizes detection performance while abstracting the configuration complexity from the user, as the system self-tunes based on real-time conditions.
Data Source
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AI summary
There is provided an apparatus comprising means for: receiving, from a network node, a configuration message for frequency domain spectral shaping, wherein the configuration message is indicative of at least one or more filter parameters; determining a frequency domain window function according to the one or more filter parameters; and transmitting an uplink transmission applying the determined frequency domain window function.