@inproceedings{discovery10198524,
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
       publisher = {IEEE},
           title = {Symbol-Level Precoding for Multi-Cell ISAC},
       booktitle = {2024 IEEE 4th International Symposium on Joint Communications \& Sensing (JC\&S)},
           pages = {1--5},
         journal = {2024 IEEE 4th International Symposium on Joint Communications and Sensing, JC and S 2024},
            year = {2024},
         address = {Leuven, Belgium},
           month = {September},
        keywords = {Integrated Sensing and Communication;
Cramer-Rao bound; CoMP; CBF},
             url = {http://dx.doi.org/10.1109/jcs61227.2024.10646274},
          author = {Babu, Nithin and Masouros, Christos},
        abstract = {This paper proposes symbol-level precoder (SLP) designs for a multi-cell multi-input single-output (MISO) integrated sensing and communication (ISAC) system under different levels of coordination among the base stations (BSs). Namely, we consider the BSs operating under coordinated beamforming (CBF) and coordinated multipoint (CoMP) schemes. In the former, channel state information (CSI) is shared, while in the latter, both CSI and user data are shared. The formulated optimization problems to maximize the weighted combination of the Fisher information value (FIV) and the minimum-signal-to-interference-plus-noise-ratio (SINR) are represented in the semidefinite relaxed (SDR) form and solved using an alter-nate optimization (AO) algorithm. The proposed solutions show improved performance compared to the baseline block-level precoding counterparts.}
}