The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This letter presents a cooperative spectrum sensing scheme with beamforming for cognitive radio networks. Here, secondary users report spectrum measurements to a fusion center simultaneously with assigned beamforming weights. Under correlated log-normal shadowing, optimal beamforming weights are derived to maximize the global detection probability subject to a global transmit power constraint. Global...
This paper presents the cooperative spectrum sensing in cognitive radio networks under spatially correlated noise. A suboptimal fusion rule which has negligible performance loss and less implementation complexity compared to the optimal fusion rule is proposed. Furthermore, the asymptotic detection probability of the proposed fusion rule in a linear array cognitive radio network is investigated. Finally,...
This paper presents a linear high-order distributed average consensus (DAC) algorithmfor wireless sensor networks. The average consensus property and convergence rate of the highorder DAC algorithm are analyzed. In particular, the convergence rate is determined by the spectral radius of a network topology dependent matrix. Numerical results indicate that this simple linear high-order DAC algorithm...
This paper presents theoretical results on the convergence of the distributed consensus timing synchronization (DCTS) algorithm for wireless sensor networks assuming general Gaussian delay between nodes. The asymptotic expectation and mean square of the global synchronization error are computed. The results lead to the definition of a time delay balanced network in which average timing consensus between...
This paper proposes a novel discrete time second- order distributed consensus time synchronization (SO-DCTS) algorithm for wireless sensor networks. The consensus properties and convergence rates of the SO-DCTS algorithm are analyzed for both directed and undirected networks. Additionally, the convergence region and optimal convergence rate of the SO- DCTS algorithm are determined for undirected networks...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.