  Integrated Sensing and Communication (ISAC) is considered one of the crucial
technologies in the upcoming sixth-generation (6G) mobile communication systems
that could facilitate ultra-precise positioning of passive and active targets
and extremely high data rates through spectrum coexistence and hardware
sharing. Such an ISAC network offers a lot of benefits, but comes with the
challenge of managing the mutual interference between the sensing and
communication services. In this paper, we investigate the problem of
localization accuracy in a monostatic ISAC network under consideration of
inter-BS interference due to communication signal and sensing echoes, and
self-interference at the respective BS. We propose a power allocation algorithm
that minimizes BS's maximum range estimate error while considering minimum
communication signal-to-interference-plus-noise ratio (SINR) and total power
constraint. Our numerical results demonstrate the effectiveness of the proposed
algorithm and indicate that it can enhance the sensing performance when the
self-interference is effectively suppressed.
