This paper proposes an intelligent reflecting surface (IRS) assisted integrated sensing and communication (ISAC) system operating at the millimeter-wave (mmWave) band. Specifically, the ISAC system combines communication and radar operations and performs on the same hardware platform, detecting and communicating simultaneously with multiple targets and users. The IRS dynamically controls the amplitude or phase of the radio signal via the reflecting elements to reconfigure the radio propagation environment and enhance the transmission rate of the ISAC system in the mmWave band. By jointly designing the radar signal covariance (RSC) matrix, the beamforming vector of the communication system, and the IRS phase shift, the ISAC system transmission rate can be improved while matching the desired waveform for radar. The problem is non-convex due to multivariate coupling, and thus we decompose it into two separate subproblems. First, a closed-form solution of the RSC matrix is derived from the radar desired waveform. Next, the quadratic transformation (QT) technique is applied to the subproblem, and then alternating optimization (AO) is applied to determine the communication beamforming vector and the IRS phase shift. Also, we derive a closed-form solution for the formulated problem, effectively decreasing computational complexity. Finally, the simulations verify the effectiveness of the algorithm and demonstrate that the IRS can improve the performance of the ISAC system.
|Title of host publication||ICC 2022 - IEEE International Conference on Communications|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2022|
|Event||2022 IEEE International Conference on Communications, ICC 2022 - Seoul, Korea, Republic of|
Duration: 2022 May 16 → 2022 May 20
|Name||IEEE International Conference on Communications|
|Conference||2022 IEEE International Conference on Communications, ICC 2022|
|Country/Territory||Korea, Republic of|
|Period||22/5/16 → 22/5/20|
Bibliographical noteFunding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61801434 and 62101499; in part by the Project funded by China Postdoctoral Science Foundation under Grant 2020M682345; in part by the Henan Postdoctoral Foundation under Grant 202001015. This work was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), Korea Government under Grants 2017R1A2B3012316.
© 2022 IEEE.
- Integrated sensing and communications
- intelligent reflecting surface
- waveform design
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering