Joint Optimization for Achieving Covertness in MIMO Over-the-Air Computation Networks
arxiv(2024)
摘要
This paper investigates covert data transmission within a multiple-input
multiple-output (MIMO) over-the-air computation (AirComp) network, where
sensors transmit data to the access point (AP) while guaranteeing covertness to
the warden (Willie). Simultaneously, the AP introduces artificial noise (AN) to
confuse Willie, meeting the covert requirement. We address the challenge of
minimizing mean-square-error (MSE) of the AP, while considering transmit power
constraints at both the AP and the sensors, as well as ensuring the covert
transmission to Willie with a low detection error probability (DEP). However,
obtaining globally optimal solutions for the investigated non-convex problem is
challenging due to the interdependence of optimization variables. To tackle
this problem, we introduce an exact penalty algorithm and transform the
optimization problem into a difference-of-convex (DC) form problem to find a
locally optimal solution. Simulation results showcase the superior performance
in terms of our proposed scheme in comparison to the benchmark schemes.
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