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This work develops a radio resource allocation framework for energy-efficient and confidential communications in multiple-antenna wiretap channels. Statistical channel state information (CSI) is considered at the transmitter, and the artificial noise (AN) technique is used. The formulated problem is a challenging non-convex fractional program which is tackled by combining fractional programming and...
State-of-the-art algorithms for energy-efficient power allocation in wireless networks are based on fractional programming theory, and allow to find the global maximum of the energy efficiency only in noise-limited scenarios. In interference-limited scenarios, several sub-optimal solutions have been proposed, but an efficient framework to globally maximize energy-efficient metrics is lacking. The...
Green resource allocation in an amplify-and-forward (AF) relay-assisted MIMO system is considered, consisting of one source, one AF relay, and one destination, in which the relay-to-destination channel is only statistically known to the source and relay. The source covariance matrix and the relay AF matrix are optimized so as to maximize the system energy efficiency (EE), defined as the ratio of the...
Recent research on game-theoretic approaches for non-cooperative resource allocation in relay-assisted interference channels is reviewed in this paper. The considered utility function is the physical layer energy efficiency, which is measured in bit/J, and denotes the number of bits successfully delivered to the receiver for each energy unit drained from the battery. Both the cases in which the power...
The issue of energy-efficient resource allocation in a single-user relay-assisted MIMO system is considered. For this scenario, a great deal of research has focused on rate maximization or sum power minimization, whereas much fewer results are available when bits/Joule energy efficiency optimization is the goal. Here, the performance metric to optimize is the ratio between the system's achievable...
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