  This paper introduces a cooperative sensing framework designed for integrated
sensing and communication cellular networks. The framework comprises one base
station (BS) functioning as the sensing transmitter, while several nearby BSs
act as sensing receivers. The primary objective is to facilitate cooperative
target localization by enabling each receiver to share specific information
with a fusion center (FC) over a limited capacity backhaul link. To achieve
this goal, we propose an advanced cooperative sensing design that enhances the
communication process between the receivers and the FC. Each receiver
independently estimates the time delay and the reflecting coefficient
associated with the reflected path from the target. Subsequently, each receiver
transmits the estimated values and the received signal samples centered around
the estimated time delay to the FC. To efficiently quantize the signal samples,
a Karhunen-Lo\`eve Transform coding scheme is employed. Furthermore, an
optimization problem is formulated to allocate backhaul resources for
quantizing different samples, improving target localization. Numerical results
validate the effectiveness of our proposed advanced design and demonstrate its
superiority over a baseline design, where only the locally estimated values are
transmitted from each receiver to the FC.
