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\begin{document}
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\title{Extracting the Communication Channel from Monostatic Sensing Channels:
From Propagation to Impact Analysis}



\author[1]{Zhuangzhuang Cui}%
\author[1]{Sofie Pollin}%
\affil[1]{Department of Electrical Engineering (ESAT)}%


\vspace{-1em}



  
  \date{April 26, 2026}


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\begin{abstract}
Integrated Sensing and Communication (ISAC) technology is vital in the
advancement of multifunctional radio applications of the
sixth-generation (6G) ecosystem. One of the primary challenges in ISAC
systems lies in understanding and interpreting wireless channels for
both sensing and communication purposes. A clear relationship between
these channels would allow ISAC systems to reduce the complexity of
channel estimation. This paper introduces a framework for reconstructing
communication channels using monostatic sensing channels within an ISAC
system. We first geometrically illustrate the synergies and differences
between the sensing and communication regions determined by frequency
intervals. Subsequently, we construct a communication propagation
channel based on overlap determined by this geometric relationship and a
simplified monostatic-to-bistatic equivalence theorem. Lastly, we
combine multipath located in the same delay bin to construct channel
state information (CSI), taking into account the bandwidth constraint.
Channel measurements and ray-tracing simulations demonstrate that the
proposed framework accurately generates communication channels. Finally,
the numerical results reveal the impacts of environmental and system
constraints on key characteristics of the channels.~~%
\end{abstract}%



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