ON THE POTENTIAL OF SPATIALLY-SPREAD ORTHOGONAL TIME FREQUENCY SPACE MODULATION FOR ISAC TRANSMISSIONS

Li，Shuangyang1; Yuan，Weijie2; Yuan，Jinhong1; Caire，Giuseppe3

10.1109/ICASSP43922.2022.9747626

2022

47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

1520-6149

978-1-6654-0541-6

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

2022-May

8722-8726

23-27 May 2022

Singapore, Singapore

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

In this paper, we study the potentials of spatially-spread orthogonal time frequency space (SS-OTFS) modulation for integrated sensing and communication (ISAC) transmissions. The most favourable feature of SS-OTFS modulation is that it forms beams according to a pre-determined angular grid, which is different from the conventional beamforming, where dedicated beams are formed according to the a priori information on the angle of departures (AoDs). According to the delay-Doppler domain channel characteristics, we first derive the input-output relationships for SS-OTFS-enabled ISAC system in a typical downlink multi-user MIMO (MU-MIMO) scenario. Based on those relationships, we further study the angular domain channel features and discuss the system design. Our numerical results have demonstrated the advantages of the proposed scheme over the conventional beamforming counterpart in terms of the signal-to-interference-plus-noise ratio (SINR).

ISAC OTFS spatially-spread

其他

英语

EI ; CPCI-S

Acoustics ; Computer Science ; Engineering

Acoustics ; Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic

WOS:000864187909007

20222312198908

2-s2.0-85130664888

Scopus

1.University of New South Wales,Sydney,Australia
2.Southern University of Science and Technology,Shenzhen,China
3.Technische Universität Berlin,Berlin,10587,Germany

Li，Shuangyang,Yuan，Weijie,Yuan，Jinhong,et al. ON THE POTENTIAL OF SPATIALLY-SPREAD ORTHOGONAL TIME FREQUENCY SPACE MODULATION FOR ISAC TRANSMISSIONS[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:8722-8726.