Owing to the promising ability of saving hardware cost and spectrum
resources, integrated sensing and communication (ISAC) is regarded as a
revolutionary technology for future sixth-generation (6G) networks. The
mono-static ISAC systems considered in most of existing works can only achieve
limited sensing performance due to the single observation angle and easily
blocked transmission links, which motivates researchers to investigate
cooperative ISAC networks. In order to further improve the degrees of freedom
(DoFs) of cooperative ISAC networks, the transmitter-receiver selection, i.e.,
base station (BS) mode selection problem, is meaningful to be studied. However,
to our best knowledge, this crucial problem has not been extensively studied in
existing works. In this paper, we consider the joint BS mode selection,
transmit beamforming, and receive filter design for cooperative cell-free ISAC
networks, where multi-BSs cooperatively serve communication users and detect
targets. We aim to maximize the sum of sensing
signal-to-interference-plus-noise ratio (SINR) under the communication SINR
requirements, total power budget, and constraints on the numbers of
transmit/receive BSs. An efficient joint beamforming design algorithm and three
different heuristic BS mode selection methods are proposed to solve this
non-convex NP-hard problem. Simulation results demonstrates the advantages of
cooperative ISAC networks, the importance of BS mode selection, and the
effectiveness of our proposed algorithms