Adaptive Windowing and Filtering for Wireless Signal Transmission
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing windowing and filtering to enhance spectral containment and minimize latency, particularly in next-generation communication scenarios like eMBB, mMTC, and URLLC, where adaptive control of signal transmission is crucial for improved bandwidth and reliability.
Innovation Solution
A method and apparatus for user equipment to adaptively control windowing or filtering by receiving a timing advance (TA) value from a base station, determining the appropriate windowing or filtering type based on the TA value, and applying it to uplink signals, which includes predefined windowing types and filtering coefficients to optimize spectral containment and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If windowing or filtering is applied to enhance spectral containment, then frequency domain performance is improved, but transmission latency increases
Solution Approach 1:
The patent applies dynamic windowing and filtering where the processing type and parameters are adjusted in real-time based on timing advance values and system conditions. Different windowing functions (e.g., rectangular, Hann, Hamming) and filter coefficients are selected adaptively to optimize the trade-off between spectral containment and latency for each transmission scenario.
Solution Approach 2:
The patent changes key parameters including windowing function type, window length, filter coefficients, and processing timing based on timing advance values and channel conditions. By dynamically adjusting these parameters, the system achieves optimal spectral containment while minimizing latency impact for different transmission scenarios.
2Productivity
If adaptive windowing control is implemented based on TA values, then transmission efficiency is improved, but device complexity increases
Solution Approach 1:
The patent implements adaptive control by changing windowing parameters based on timing advance values received from the base station. The user equipment maintains a set of predefined windowing functions and filter coefficients, selecting the appropriate parameters based on TA value ranges and system conditions, thereby achieving efficient adaptation without requiring complex real-time optimization algorithms.
Data Source
AI summary
A method of transmitting a signal by adaptively controlling windowing or filtering by a user equipment in a wireless communication system, includes the steps of receiving a message including a timing advance (TA) value from a base station, determining a windowing type or a filtering type corresponding to the TA value, and transmitting an uplink signal to which the determined windowing type is applied. In this case, the windowing type is distinguished according to a length of a valid symbol and the filtering type can be distinguished according to a filter coefficient value.