Joint transceiver optimization for secure OFDMA over-the-air computation systems

For over-the-air computation (AirComp) systems, secure data aggregation is an important issue. This letter investigates joint transceiver optimization for secure data aggregation in orthogonal frequency division multiple access (OFDMA) AirComp systems. The aim is to minimize the computation mean square error of the fusion centre, while satisfying the security constraint of the computation mean square error of the eavesdropper and the power constraints of the sensors. The formulated optimization problem is non-convex, and an effective iterative algorithm is proposed to solve it. Simulation results demonstrate the superiority of the proposed scheme. For over-the-air computation (AirComp) systems, secure data aggregation is an important issue. This letter investigates joint transceiver optimization for secure data aggregation in orthogonal frequency division multiple access AirComp systems. The aim is to minimize the computation mean square error of the fusion centre, while satisfying the security constraint of the computation mean square error of the eavesdropper and the power constraints of the sensors.image