TY - GEN
T1 - Joint Communications and Sensing Design for Multi-Carrier MIMO Systems
AU - Nguyen, Nhan Thanh
AU - Shlezinger, Nir
AU - Ngo, Khac Hoang
AU - Nguyen, Van Dinh
AU - Juntti, Markku
N1 - Funding Information:
AKNOWLEDGEMENT This research was supported by Academy of Finland under 6G Flagship (grant 346208), Infotech Oulu, and Business Finland, Keysight, MediaTek, Siemens, Ekahau and Verkotan via project 6GLearn.
Publisher Copyright:
© 2023 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - 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.
AB - 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.
KW - Joint communications and sensing (JCAS)
KW - MIMO-OFDM
KW - dual-functional radar-communications (DFRC)
UR - http://www.scopus.com/inward/record.url?scp=85168910657&partnerID=8YFLogxK
U2 - 10.1109/SSP53291.2023.10207952
DO - 10.1109/SSP53291.2023.10207952
M3 - Conference contribution
AN - SCOPUS:85168910657
T3 - IEEE Workshop on Statistical Signal Processing Proceedings
SP - 110
EP - 114
BT - Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023
PB - Institute of Electrical and Electronics Engineers
T2 - 22nd IEEE Statistical Signal Processing Workshop, SSP 2023
Y2 - 2 July 2023 through 5 July 2023
ER -