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We study the sum rate maximization problem for spectrum sharing multiple input multiple output (MIMO) broadcast channels (BC) under Rayleigh fading. We assume that the receiver side has the perfect channel state information (CSI), however the transmitter side has partial CSI in the form of channel covariance matrix feedback. Based on multiple auxiliary variables, Karush-Kuhn-Tucker (KKT) optimality...
We investigate a weighted sum rate maximization and rate balancing problem for a spectrum sharing multiple input multiple output (MIMO) based wireless relay network. The aim is to maximize the sum rate of the wireless relay network whilst ensuring the interference leakage to the primary user terminals during two time slots are below a specific value. We solve this problem by asymmetrically allocating...
We propose a suboptimal optimization algorithm for user maximization and resource allocation in an OFDMA based cognitive radio network. The aim is to admit as many secondary users as possible while satisfying quality of services for each admitted secondary user and ensuring the interference leakage to primary network is below a threshold. The original problem which is a combinatorial optimization...
Spectrum sensing is a key technology of cognitive radio (CR). In CR systems, the main requirement of spectrum sensing is the ability of rapid and accurate detection of the presence of the primary user. In this paper, we propose a spectrum sensing method using artificial neural network (ANN). Detailed analysis shows that the proposed scheme is appropriate to detect the signals under considerably low...
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