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A cooperative approach to the sensing task of wireless cognitive radio (CR) networks is introduced based on a basis expansion model of the power spectral density (PSD) map in space and frequency. Joint estimation of the model parameters enables identification of the (un)used frequency bands at arbitrary locations, and thus facilitates spatial frequency reuse. The novel scheme capitalizes on two forms...
A cooperative spectrum sensing algorithm for cognitive radios (CRs) is developed using the novel notion of channel gain maps. These maps capture the spatio-temporal variation of the RF propagation in the geographical area where the CR network is operated. They are tracked via Kriged Kalman filtering (KKF), a tool with well-appreciated merits in geo-statistics. This in turn enables the activity of...
Sequential sensing algorithms are developed for OFDM-based hierarchical cognitive radio (CR) systems. Secondary users sense multiple sub-bands simultaneously for possible spectrum availabilities under hard miss-detection constraints to prevent interference to the primary users. Accounting for the fact that the sensing time overhead can often be significant, a performance metric is developed based...
Maximization of the weighted sum-rate of secondary users (SUs) possibly equipped with multi-antenna transmitters and receivers is considered in the context of cognitive radio (CR) networks with coexisting primary user(s) (PU). Total interference power received at the primary receiver is constrained to maintain reliable communication for the PU. An interference channel configuration is considered for...
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