  In this work, we study integrated sensing and communication (ISAC) networks
intending to effectively balance sensing and communication (S&C) performance at
the network level. Through the simultaneous utilization of multi-point (CoMP)
coordinated joint transmission and distributed multiple-input multiple-output
(MIMO) radar techniques, we propose a cooperative networked ISAC scheme to
enhance both S&C services. Then, the tool of stochastic geometry is exploited
to capture the S&C performance, which allows us to illuminate key cooperative
dependencies in the ISAC network. Remarkably, the derived expression of the
Cramer-Rao lower bound (CRLB) of the localization accuracy unveils a
significant finding: Deploying $N$ ISAC transceivers yields an enhanced sensing
performance across the entire network, in accordance with the $\ln^2N$ scaling
law. Simulation results demonstrate that compared to the time-sharing scheme,
the proposed cooperative ISAC scheme can effectively improve the average data
rate and reduce the CRLB.
