Secure computation efficiency resource allocation for massive MIMO-enabled mobile edge computing networks

In this article, the secure computation efficiency (SCE) problem is studied in a massive multipleinput multiple-output (mMIMO)-assisted mobile edge computing (MEC) network. We first derive the secure transmission rate based on the mMIMO under imperfect channel state information. Based on this, the SCE maximization problem is formulated by jointly optimizing the local computation frequency, the offloading time, the downloading time, the users and the base station transmit power. Due to its difficulty to directly solve the formulated problem, we first transform the fractional objective function into the subtractive form one via the dinkelbach method. Next, the original problem is transformed into a convex one by applying the successive convex approximation technique, and an iteration algorithm is proposed to obtain the solutions. Finally, the stimulations are conducted to show that the performance of the proposed schemes is superior to that of the other schemes.