Beamforming Design for Integrated Sensing and Communication Systems with Finite Alphabet Input

Dingyan Cong, Shuaishuai Guo, Haixia Zhang, Jia Ye, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Joint beamforming for integrated sensing and communication (ISAC) is an efficient way to combine two functionalities in a system at the waveform level. This letter proposes a beamforming design for ISAC systems with finite alphabet signaling. We formulate a problem to maximize the minimum Euclidean distance (MMED) among noise-free received signal vectors under a sensing constraint and a given power constraint. To tackle the formulated optimization problem, we transform it into a semi-definite programming (SDP) and solve it by the semi-definite relaxation (SDR) method. Comprehensive comparisons with existing schemes show that our proposed beamforming offers lower symbol error rate (SER), higher mutual information, and also better sensing performance than existing ISAC beamforming designs.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Wireless Communications Letters
StatePublished - Aug 4 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledgements: The work is supported by in part by the National Natural Science Foundation of China under Grant 62171262 and Grant 61860206005, in part by Shandong Provincial Natural Science Foundation under Grant ZR2021YQ47, and in part by Major Scientific and Technological Innovation Project of Shandong Province under Grant 2020CXGC010109 and in part by Shandong Nature Science Foundation under Grant ZR2021LZH003.


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