@inproceedings{de5e0e87f9d84449a41f11aff732db74,
title = "Beamforming Design in Cell-Free Massive MIMO Integrated Sensing and Communication Systems",
abstract = "This paper investigates the beamforming design in the Cell-Free massive multi-input multi-output (MIMO) integrated sensing and communication (ISAC) system, termed as the CF-ISAC system, in presence of the channel state information (CSI) estimation error. The beamforming design is formulated into a sensing beampattern matching mean square error minimization problem under the constraints of the power budgets of the access points (APs) and the ergodic rate requirements of the users. A computationally tractable lower bound of the ergodic rate over the imperfect CSI is derived based on the Jensen's Inequality, and then a successive convex approximation based algorithm is proposed to solve the considered problem. Numerical results illustrate the beampatterns for different direction of arrival estimations of the targets. The advantage of the CF-ISAC system for radar sensing is revealed based on the relative location between the AP and the target.",
keywords = "beamforming design, Cell-Free massive MIMO, imperfect CSI, ISAC",
author = "Weihao Mao and Yang Lu and Jingxian Liu and Bo Ai and Zhangdui Zhong and Zhiguo Ding",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Global Communications Conference, GLOBECOM 2023 ; Conference date: 04-12-2023 Through 08-12-2023",
year = "2023",
doi = "10.1109/GLOBECOM54140.2023.10437290",
language = "British English",
series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "546--551",
booktitle = "GLOBECOM 2023 - 2023 IEEE Global Communications Conference",
address = "United States",
}