Cell-free ISAC Beamforming

Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming

(Conference Paper - 2023)

Umut Demirhan and Ahmed Alkhateeb

Wireless Intelligence Lab, ASU

Integrated sensing and communication in cell-free massive MIMO systems
The communication and sensing beams are utilized for the sensing of the target. The beamforming vectors of access points (APs) are jointly optimized to maximize the sensing SNR while providing sufficient SNR for each user.

Abstract

This paper considers a cell-free integrated sensing and communication (ISAC) MIMO system, where distributed MIMO access points are jointly serving the communication users and sensing the targets. For this setup, we first develop two baseline approaches that separately design the sensing and communication beamforming vectors, namely communication prioritized sensing beamforming and sensing-prioritized communication beamforming. Then, we consider the joint sensing and communication (JSC) beamforming design and derive the optimal structure of these JSC beamforming vectors based on a max-min fairness formulation. The results show that the developed JSC beamforming is capable of achieving nearly the same communication signal-to-interference-plus-noise ratio (SINR) that of the communication-prioritized sensing beamforming solutions with almost the same sensing SNR of the sensing prioritized communication beamforming approaches, yielding a promising strategy for cell-free ISAC MIMO systems

Citation

If you want to use the scripts in this page, please cite the following paper:

U. Demirhan and A. Alkhateeb, “Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming,” arXiv preprint arXiv:2301.11328, 2023.

@article{demirhan2023cell,
  title={Cell-Free {ISAC} {MIMO} Systems: Joint Sensing and Communication Beamforming},
  author={Demirhan, Umut and Alkhateeb, Ahmed},
  journal={arXiv preprint arXiv:2301.11328},
  year={2023}
}