Secure energy efficient power allocation in massive multiple‐input multiple‐output systems with an eavesdropper using cell division technique

Summary In this paper, we study energy‐efficient power allocation (PA) to secure the confidential information of massive multiple‐input multiple‐output (MIMO) systems in the presence of an eavesdropper. First a training scheme is presented in the uplink using the MMSE method. Based on the estimated channel state information (CSI), the base station (BS) encrypts the confidential information. Next, the ergodic secret rate is obtained at the downlink. In this paper, in order to maximize the ergodic secrecy rate, the allocation of common power in the uplink and downlink is proposed by considering the constraints such as the transmit power constraint in the uplink, the transmit power constraint in the downlink, and the minimum ergodic secret rate constraint. The objective function in the proposed scenario is a nonconvex problem, which first becomes a convex problem and then, by using the Lagrange dual function method, the problem becomes an unconstraint problem. We also divide the cell into two areas using the cell division method. A practical energy‐efficient PA algorithm is presented which deals with the adverse effect of the eavesdropper. Simulations are carried out to demonstrate the effectiveness of the proposed methods. Energy‐efficient power allocation (PA) to secure the confidential information of massive MIMO systems in the presence of an eavesdropper is studied. Based on the estimated channel state information (CSI), the base station (BS) encrypts the confidential information. To maximize the ergodic secrecy rate, the allocation of common power in the uplink and downlink is proposed by considering the transmit power constraint in the uplink, the transmit power constraint in the downlink, and the minimum ergodic secret rate constraint.