Joint Communications and Sensing Design for Multi-Carrier MIMO Systems

Nhan Thanh Nguyen, Nir Shlezinger, Khac Hoang Ngo, Van Dinh Nguyen, Markku Juntti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


In conventional joint communications and sensing (JCAS) designs for multi-carrier multiple-input multiple-output (MIMO) systems, the dual-functional waveforms are often optimized for the whole frequency band, resulting in limited communications-sensing performance tradeoff. To overcome the limitation, we propose employing a subset of subcarriers for JCAS, while the communications function is performed over all the subcarriers. This offers more degrees of freedom to enhance the communications performance under a given sensing accuracy. We first formulate the rate maximization under the sensing accuracy constraint to optimize the beamformers and JCAS subcarriers. The problem is solved via Riemannian manifold optimization and closed-form solutions. Numerical results for an 8 × 4 MIMO system with 64 subcarriers show that compared to the conventional subcarrier sharing scheme, the proposed scheme employing 16 JCAS subcarriers offers 60% improvement in the achievable communications rate at the signal-to-noise ratio of 10 dB. Meanwhile, this scheme generates the sensing beampattern with the same quality as the conventional JCAS design.

Original languageEnglish
Title of host publicationProceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781665452458
StatePublished - 1 Jan 2023
Event22nd IEEE Statistical Signal Processing Workshop, SSP 2023 - Hanoi, Viet Nam
Duration: 2 Jul 20235 Jul 2023

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings


Conference22nd IEEE Statistical Signal Processing Workshop, SSP 2023
Country/TerritoryViet Nam


  • Joint communications and sensing (JCAS)
  • dual-functional radar-communications (DFRC)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications


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