Adaptive FDSS Filtering for OFDM Spectral Shaping and ISSI Control

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Solution Overview

Problem

Conventional signaling frameworks for FDSS filters are not optimal, particularly in adapting frequency-domain spectral shaping and spectral extension parameters for FDSS-based orthogonal frequency division multiplexing, leading to issues like Inter Sub-Symbol Interference (ISSI) and suboptimal performance under varying channel conditions.

Innovation Solution

A signaling framework that supports adaptive FDSS filters, utilizing machine learning-based transceivers to dynamically adjust filter coefficients and spectral extension parameters based on channel conditions, enabling coordinated training and configuration between the UE and gNB to optimize FDSS-DFT-s-OFDM transmission.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional signaling frameworks are used for FDSS filters, then device complexity is reduced, but adaptability and performance under varying channel conditions deteriorate

Engineering Contradiction:
Improveadaptability of FDSS filterVSAvoidsignaling framework complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The signaling framework is segmented into multiple independent components: capability indication messages, configuration messages, and activation messages. This allows the system to build adaptability incrementally through standardized, modular signaling elements rather than requiring a complex monolithic framework.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The FDSS filter transitions from a static conventional design to a dynamic adaptive design where filter coefficients and spectral extension parameters can be modified in real-time based on channel conditions, while the signaling framework provides the structured mechanism for this dynamic adaptation.

Inventive Principle:
Principle #15Dynamics

2Reliability

If adaptive FDSS filtering is implemented, then reception performance and spectral efficiency improve, but device complexity and processing requirements increase

Engineering Contradiction:
Improvereception performanceVSAvoidtransceiver complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system implements feedback mechanisms where the receiving apparatus evaluates channel conditions and sends configuration messages back to the transmitting apparatus, enabling the FDSS filter to adapt its coefficients and parameters based on actual reception performance rather than using fixed predetermined settings.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The adaptive FDSS filter changes its operational parameters (filter coefficients and spectral extension parameters) dynamically based on channel conditions, allowing the system to optimize reception performance by adjusting these parameters rather than being constrained to fixed parameter sets.

Inventive Principle:
Principle #35Parameter changes

3Object-affected harmful factors

If spectral extension parameter is increased, then Inter Sub-Symbol Interference is reduced, but spectral efficiency decreases

Engineering Contradiction:
ImproveInter Sub-Symbol InterferenceVSAvoidspectral efficiency
Core Design Contradiction:
Object-affected harmful factorsVSProductivity

Solution Approach 1:

The spectral extension parameter transitions from a fixed value to a dynamically adjustable parameter that can be optimized for each transmission based on channel conditions, allowing the system to minimize ISSI while maintaining high spectral efficiency by using the minimum necessary extension rather than a conservative fixed value.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the spectral extension parameter adaptively based on channel conditions and transmission requirements, allowing optimization of the trade-off between ISSI reduction and spectral efficiency rather than being constrained to a fixed parameter that must conservatively balance both concerns.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250385764A1Apparatuses, methods, and computer programs for adaptive FDSS filtering
Publication Date: 2025.12.18 NOKIA TECHNOLOGIES OY
  • US20250385764A1 patent drawing
  • US20250385764A1 patent drawing
  • US20250385764A1 patent drawing

AI summary

An apparatus (10, 110) comprising: means for transmitting, to a second apparatus (120), first information (1901) indicative of a capability of the apparatus to adapt at least one of: a frequency-domain spectral shaping (1902), FDSS, filter for FDSS-based orthogonal frequency division multiplexing, OFDM, transmission, or a spectral extension parameter (1903) for use in FDSS-based OFDM with spectral extension transmission; means for receiving, from the second apparatus based at least in part on the transmitted first information, second information (1904), wherein the second information comprises information for configuring the apparatus to adapt at least one of the FDSS filter (1905) or the spectral extension parameter (1906); means for determining an adaptation to apply to at least one of the FDSS filter or the spectral extension parameter, wherein the determination is based at least in part on the received second information, and wherein the adaptation comprises adapting at least one of: at least one of a plurality of filter coefficients (1909) of the FDSS filter, at least one of one or more filter parameters (1910), or the spectral extension parameter (1903, 1911); and means for transmitting, to the second apparatus, at least one FDSS-based OFDM transmission (1914), wherein the transmitting uses at least one of: the FDSS filter with the determined adaptation applied thereto, or the spectral extension parameter with the determined adaptation applied thereto.