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We present a multi-user multiple-input multiple-output (MIMO) cognitive radio system consisting of a secondary receiver that deploys spatial multiplexing to decode signals from multiple secondary transmitters, under the presence of primary transmissions. The secondary receiver carries out minimum mean-squared error detection to decode the secondary data streams, while it performs spectrum sensing...
Nowadays, the widespread use of Mobile Devices (MDs) open the door to exploit the presence of multiple nodes to accomplish collaborative tasks. In this paper, a speaker recognition system for MDs based on a multiple-observations approach is presented. We propose different fusion and clustering algorithms aimed at efficiently exploiting signals coming from multiple sensors. Numerical results show that...
The formula E = Pt still hold true as we forge ahead in our unending quest to extend power lifetime in e-Health wireless sensors. Our research work proposes predictive MAC manipulation and intelligent node clustering with associated algorithms to further lower the energy consumption of e-Health devices equipped with wireless sensors. Predictive manipulation of MAC involves powering on and off the...
Wireless covert systems use low probability of detection (LPD) techniques to hide transmission and protect the transmitter. Traditionally, spread spectrum has been used to hide the covert signal in noise. Recently, research has focused on covert systems that sense the RF channel and hide their transmission in the RF band of a primary network (PN). A widely used metric to quantify covertness is the...
In this work, we consider the wideband sensing problem of using a single antenna receiver for sensing an unknown number of incumbent signals occupying frequency bands that may be partially overlapping. Many communications standards today, such as the IEEE 802.11 and LTE-Advanced, use frequency bands that overlap amongst themselves or do not have a frequency guard band. Current sensing methods for...
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