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<p>As a new communication paradigm, semantic communication (SC) differs from conventional communication based on bit transmission by transmitting semantic information, which demonstrates enormous potential in improving communication efficiency. To ensure transmission security, this paper investigates the secure resource allocation problem of integrated sensing and semantic communication (ISSC) systems in the scenario involving multiple eavesdroppers considering cases of both perfect and imperfect channel state information (CSI). Specifically, the concept of secure semantic rate (SSR) is first put forward to measure the reliability of user information acquisition, and then an optimization problem is formulated to maximize the secure semantic efficiency (SSE), which is defined as the ratio of the sum of SSRs to total transmit power. To work out this problem, the optimization problem is first decoupled into two subproblems, i.e., beamforming optimization subproblem and semantic parameter optimization subproblem. For the beamforming optimization subproblem, this paper simplifies the objective function by utilizing the Dinkelbach algorithm with given semantic parameters and proposes an alternating algorithm to solve a series of convex subproblems iteratively. For the semantic parameter subproblem, the monotonically decreasing property of the objective function with respect to the semantic parameter is revealed mathematically under a given beamforming vector. Finally, simulation results verify the theoretical analysis.</p>

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Joint communication and computation design for secure integrated sensing and semantic communication system

  • 期刊论文

  • 发表日期：

    2025年2月11日

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  • Jianxin Dai,
  • Hui Fan,
  • Zhouxiang Zhao,
  • Yongjun Xu,
  • Zhaohui Yang,
  • Xu Gan,
  • Zhaoyang Zhang

摘要

As a new communication paradigm, semantic communication (SC) differs from conventional communication based on bit transmission by transmitting semantic information, which demonstrates enormous potential in improving communication efficiency. To ensure transmission security, this paper investigates the secure resource allocation problem of integrated sensing and semantic communication (ISSC) systems in the scenario involving multiple eavesdroppers considering cases of both perfect and imperfect channel state information (CSI). Specifically, the concept of secure semantic rate (SSR) is first put forward to measure the reliability of user information acquisition, and then an optimization problem is formulated to maximize the secure semantic efficiency (SSE), which is defined as the ratio of the sum of SSRs to total transmit power. To work out this problem, the optimization problem is first decoupled into two subproblems, i.e., beamforming optimization subproblem and semantic parameter optimization subproblem. For the beamforming optimization subproblem, this paper simplifies the objective function by utilizing the Dinkelbach algorithm with given semantic parameters and proposes an alternating algorithm to solve a series of convex subproblems iteratively. For the semantic parameter subproblem, the monotonically decreasing property of the objective function with respect to the semantic parameter is revealed mathematically under a given beamforming vector. Finally, simulation results verify the theoretical analysis.