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In this paper, precoding techniques are investigated for secure energy-efficient multiple-input multiple-output (MIMO) systems in the presence of an eavesdropper. To tackle the non-convexity of the secure energy efficiency maximization (SEEM) problem, we employ branch-and-reduce-and-bound (BRB) approach to obtain the globally optimal solution. It is observed that the BRB algorithm suffers from highly...
In this paper, we formulate the interference alignment (IA) problem for a multiuser multiple-input multiple-output (MIMO) system in the presence of an eavesdropper as a rank constrained rank minimization (RCRM) problem. The aim of the proposed rank minimization IA schemes is to find the precoding and receiver subspace matrices to align interference and wiretapped signals into the lowest dimension...
In this paper, interference alignment (IA) is designed for secure multiuser multiple-input multiple-output systems in the presence of an eavesdropper. The proposed IA technique designs the transmit precoding and receiving subspace matrices to minimize both the total inter-main-link interference and the wiretapped signals. With perfect channel state information is known at the transmitters (Txs), the...
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