Literature Database Entry

dressler2026wideband-talk

Falko Dressler, "Wideband Channel Reconstruction under Spectrum Fragmentation for Integrated Sensing and Communication," Invited Talk, Rhine Summit 2026: Intelligent Wireless Network, Starnberg, Germany, April 28, 2026.

Abstract

Multiband channel reconstruction is a promising approach for extending the effective bandwidth of wireless systems, enabling high-resolution integrated sensing and communication (ISAC). However, practical deployments face the challenge of spectrum fragmentation due to intermittent sub-band occupancy. In this talk, we present a framework for robust multi-band channel splicing under realistic conditions. To tackle spectrum fragmentation caused by bursty co-channel interference, we introduce a physics-informed complex Transformer model that reconstructs the full wideband channel frequency response (CFR) from partially observed sub-bands. Interference is modeled as a two-state Markov process, capturing realistic temporal occupancy patterns. The model operates on the joint time-frequency domain using factored self-attention for computational efficiency and employs holomorphic layers to preserve phase consistency. A composite physics-informed loss enforces spectral fidelity, power delay profile (PDP) accuracy, channel impulse response (CIR) sparsity, and temporal smoothness. Additionally, we propose leveraging historical channel state information (CSI) to fill missing spectral regions, preserving temporal resolution at the cost of potential staleness-induced distortion. To quantify reconstruction quality, we introduce a similarity metric based on PDP matching. Experimental and simulation results demonstrate that the proposed framework significantly outperforms classical interpolation methods, achieving high reconstruction fidelity while degrading gracefully under mobility. The approach enables reliable wideband channel reconstruction across fragmented spectrum, paving the way for practical, high-resolution ISAC systems.

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Falko Dressler

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@misc{dressler2026wideband-talk,
    author = {Dressler, Falko},
    title = {{Wideband Channel Reconstruction under Spectrum Fragmentation for Integrated Sensing and Communication}},
    howpublished = {Invited Talk},
    publisher = {Rhine Summit 2026: Intelligent Wireless Network},
    location = {Starnberg, Germany},
    day = {28},
    month = {04},
    year = {2026},
   }
   
   

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Last modified: 2026-05-17