STAR-RIS辅助多载波通信感知一体化系统的资源优化

doi:10.12305/j.issn.1001-506X.2024.04.32

Abstract

Abstract:

In response to the shortage of spectrum resources and the inability of traditional intelligent reflecting surface to achieve full-space coverage, a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted integrated sensing and communication system is studied. By allocating power and subcarrier resources and optimizing STAR-RIS coefficient matrix, the communication sum-rate is maximized under the premise of ensuring the sensing function. An alternating optimization algorithm is designed to decouple the non-convex problem of multiple variables coupling into three convex subproblems. Firstly, the penalty function and the successive convex approximation algorithm are used after relaxing the subcarrier selection variable. Then, the convex subproblem of the power allocation variable is solved directly. Finally, the semidefinite programming is used and the rank-one constraint is rewritten as the difference of the nuclear norm and the spectral norm, which is used as a penalty function. Then the successive convex approximation is used to optimize the STAR-RIS coefficient matrix. The simulation results show that the performance of the proposed scheme improves significantly compared with the traditional RIS.

Key words: simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS), integrated sensing and communication, resource allocation, sum-rate of communication

CLC Number:

TN929.5

Hongkai KOU, Youhua FU. Resource optimization of STAR-RIS assisted multicarrier integrated sensing and communication systems[J]. Systems Engineering and Electronics, 2024, 46(4): 1431-1439.

Figures/Tables 7

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References 31

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Resource optimization of STAR-RIS assisted multicarrier integrated sensing and communication systems

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