Input Distribution Design for Ranging-Oriented OFDM-ISAC Systems Under Frequency-Selective Fading

📅 2026-04-29
📈 Citations: 0
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🤖 AI Summary
This work addresses the fundamental trade-off between communication rate and sensing performance in OFDM-based integrated sensing and communication (ISAC) systems operating over frequency-selective fading channels. For the first time, constellation kurtosis is treated as a schedulable resource, and within a rate-distortion theoretic framework, the authors propose a computationally efficient input distribution design method. By optimally allocating kurtosis across subcarriers, the approach achieves a favorable ISAC performance trade-off tailored for ranging applications. The proposed method jointly integrates constellation design, kurtosis resource allocation, and OFDM-ISAC system modeling, significantly enhancing the synergy between communication throughput and sensing accuracy under practical sensing constraints, thereby improving overall system effectiveness.
📝 Abstract
The implementation of the \ac{isac} feature in \ac{6g} networks is most likely to be based on the framework of \ac{ofdm}. Input distribution design, or constellation design, is a crucial technique in \ac{ofdm}-\ac{isac} systems enabling a favorable balance between communication rate and sensing performance. In this treatise, we propose a computationally efficient input distribution design approach for \ac{ofdm}-\ac{isac} under frequency-selective channels, following the theoretical framework of capacity distortion. We highlight that under practical sensing constraints, the optimal strategy is to treat the kurtosis of constellations as a resource, and allocate it appropriately over subcarriers.
Problem

Research questions and friction points this paper is trying to address.

OFDM-ISAC
input distribution design
frequency-selective fading
ranging
constellation design
Innovation

Methods, ideas, or system contributions that make the work stand out.

OFDM-ISAC
input distribution design
kurtosis allocation
frequency-selective fading
capacity-distortion theory
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Weijiang Zhao
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Yifeng Xiong
Yifeng Xiong
Beijing University of Posts and Telecommunications
Integrated Sensing and CommunicationLocalizationQuantum InformationWireless Communication