This paper investigates an integrated sensing, communication, and computing network enabled by joint beamforming and cooperative device-to-device (D2D) and mobile edge computing (MEC) offloading. In the considered system, multiple full-duplex integrated sensing and communication devices perform target sensing while offloading partial latency-sensitive computation tasks through D2D and MEC links, thereby exploiting the complementary advantages of short-range D2D communication and the abundant computing resources of the MEC server. A D2D and MEC co-offloading framework is developed that simultaneously optimizes transceiver beamforming, task assignment, and computation resource allocation, with the aim of minimizing overall computation latency while ensuring sensing performance. To address the intractable issue of the formulated optimization problem, closed-form solutions of receive beamformers are first derived by solving minimum variance distortionless response problems. Subsequently, an alternating optimization algorithm is employed to decouple the original problem into two subproblems. To address their non-convexity, we apply semi-definite relaxation and successive convex approximation to transform each subproblem into a convex form and integrate penalty terms into the objective functions to promote rank-one solutions. Numerical results demonstrate that, compared to the state-of-the-art schemes, the proposed scheme achieves significant latency reduction under limited power and computing resources, while maintaining a high sensing signal-to-interference-plus-noise ratio.
Tao Jiang, Ming Jin, Qinghua Guo et al.· IEEE Transactions on Wireles...· 0 citations
This paper proposes a secure and robust transceiver beamforming scheme to enhance the performance of device-to-device (D2D)-aided full-duplex integrated sensing and communication (ISAC) networks under imperfect channel state information (CSI). A joint optimization framework is developed to simultaneously optimize transceiver beamforming at the ISAC base station (BS) and transmit beamforming at D2D transmitters, with the aim of maximizing the worst-case sensing signal-to-interference-plus-noise ratio (SINR) while guaranteeing secure communication and quality-of-service (QoS) for cellular users (CUs) and D2D pairs. To address the intractable issue of the formulated joint optimization problem, we propose a robust transformation method based on the generalized S-lemma to convert CSI uncertainty constraints into tractable linear matrix inequalities (LMIs), enabling efficient handling of bounded channel errors. Subsequently, we propose an alternating optimization (AO) algorithm integrated with a double-checking strategy via semidefinite relaxation (SDR), where inner-layer feasibility verification and outer-layer rank-one validation ensure solution feasibility, and a rank penalty term accelerates convergence. Numerical results show that, compared to state-of-the-art schemes, the proposed scheme achieves significant performance improvements. These results confirm the robustness of the proposed method against complex interference and active eavesdropping threats, and highlight its superiority in balancing sensing-communication trade-offs for D2D-aided ISAC networks.
Tao Jiang, Ming Jin, Qinghua Guo et al.· IEEE Transactions on Wireles...· 0 citations
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