Proactive Monitoring via Jamming With Finite Blocklength Transmissions

Abstract

Considering suspicious finite blocklength transmissions, we propose a proactive monitoring via jamming system. Our aim is to maximize the average monitoring rate, whose expression involves the integral of Q function. Although the formulated optimization problem is non-convex, we theoretically prove that the problem has a unique optimal solution, which can be found by the bisection search. Due to high complexity of integral in each step of bisection search, we propose a proactive monitoring scheme based on a linear approximation, which does not involve integral. Furthermore, by using the Riemann integral approximation, we also propose a closed-form near optimal solution to the average monitoring rate maximization problem. Numerical results demonstrate that our proposed schemes outperform the passive monitoring without jamming and proactive monitoring with constant jamming power schemes.