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RHS-UAV-Based ISAC System With RIS Enhancing
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AI
DOI：10.1109/LCOMM.2025.3569544.png)
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Abstract
En 中文
To address the challenge of spectrum congestion in the sixth generation (6G) networks, in this letter, we propose a novel reconfigurable holographic surface (RHS)-unmanned aerial vehicle (UAV) based integrated sensing and communication (ISAC) system with reconfigurable intelligent surface (RIS) enhancing. To maximize the achievable communication rate while satisfying the minimum sensing signal-to-noise ratio (SNR) threshold, we jointly optimize the digital beamforming of base station, the holographic beamforming of RHS and the passive beamforming of RIS. To deal with the complicated non-convex optimization problem, an alternating optimization (AO)-based algorithm is adopted to decouple it into three subproblems which are further solved individually. Particularly, penalty concave-convex procedure (PCCP) method is utilized to deal with the rank-one constraint of passive beamforming subproblem and successive convex approximation (SCA) is utilized to simplify the complicated quadratically constrained quadratic programming (QCQP) of holographic beamforming. Simulation results demonstrate the superiorities of the proposed system as compared with its counterparts, and also show that the AO-based algorithm outperforms the benchmark algorithms obviously.
Keywords:
Integrated sensing and communication
reconfigurable intelligent surface
reconfigurable holographic surface
unmanned aerial vehicle
alternating optimization
Journal
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4.4
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1.3W
Citations:
2.2W