Exploiting Interference in Joint Radar-Communication Transmission

Zhang, Jianjun1; Liu, Fan2; Masouros, Christos3; Huang, Yongming4

10.1109/GLOBECOM54140.2023.10437854

2023

IEEE Conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity

2334-0983

2576-6813

IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM

DEC 04-08, 2023

null,Kuala Lumpur,MALAYSIA

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

IEEE

By sharing the same hardware platform, spectral resource as well as transmit waveform, dual-functional radar-communication (DFRC) based integrated sensing and communication (ISAC) framework has been envisioned as a key technology for future wireless networks. Most DFRC beamforming works focus on block-level precoding, which fails to exploit constructive interference. To tackle this issue, we propose symbol-level joint radar sensing and communication beamforming algorithms in this paper. First, we formulate the problem of joint radar-communication beamforming based on symbol-level precoding (SLP) by incorporating constructive interference into SLP, so as to improve the energy efficiency. To address the formulated problem, we tailor a highly parallelizable iterative algorithm, which is shown to converge to stationary points. To achieve better performance, we further propose an efficient recursive optimization algorithm. In particular, the recursive algorithm monotonously improves the performance of interest as the recursive procedure proceeds.

Integrated sensing and communication symbollevel precoding parallel optimization recursive design

其他

英语

CPCI-S

National Natural Science Foundation of China["62301249","61720106003","62225107"]

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:001178562001144

Web of Science

1.Nanjing Univ Aeronaut & Astronaut, Coll Comp Sci & Technol, Nanjing, Peoples R China
2.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Peoples R China
3.UCL, Dept Elect & Elect Engn, London, England
4.Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Peoples R China

Zhang, Jianjun,Liu, Fan,Masouros, Christos,et al. Exploiting Interference in Joint Radar-Communication Transmission[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2023.