Abstract
As an edge-cutting technology, Intelligent reflecting surface (IRS) can be well used in various fields. In this paper, we investigate to deploy double IRS in the dual-function radar and communication (DFRC) system, which we deploy double IRS to assist a base station (BS) with both radar sensing and communication capabilities with multiple single-antenna users. And we optimize the active beamforming at the base station and the passive beamforming of the IRS to maximize the achievable sum-rate of communication users. Because the optimization problems are non-convex, the fractional programming (FP), majorization-minimization (MM), and manifold optimization methods are used in an alternating algorithm to figure out these problems. Simulation results demonstrate the efficiency of the proposed algorithm.
Supported by National Natural Science Foundation of China (No. 62076160), Natural Science Foundation of Shanghai (No. 21ZR1424700), Shanghai Science and Technology Innovation Funds (No. 23QA1403800).
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Chen, Z., Yang, L., Zhao, Y., Zhang, T. (2024). Double IRS-Aided Dual-Function Radar and Communication System. In: Li, J., Zhang, B., Ying, Y. (eds) 6GN for Future Wireless Networks. 6GN 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 553. Springer, Cham. https://doi.org/10.1007/978-3-031-53401-0_12
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