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Nowadays, cognitive small cell networks (CSCNs) have been widely accepted as a promising and efficient method to deal with exponentially increasing demand of wireless data services. As small cells become smaller and denser, inter-cell interference (ICI) at user equipments (UEs), coming from adjacent base stations (BSs), expanded dramatically and has grown more complicated to be managed. In order to...
In this paper, we consider energy harvesting cognitive radio networks (CRNs) where each secondary user (SU) has no fixed power supplies and extract energy only via harvesting energy by Radio Frequency (RF) provided by the control center (CC). Cooperative spectrum sensing is employed to improve the sensing performance. The spectrum sensing policy should maximize the probability of discovering and utilizing...
A double inverted pendulum system is a complex, multi-variable, highly nonlinear, strong coupling, and absolute unstable system. At present, the researchers focus little attention on the timecost optimization of swing up the double inverted pendulum from its downward position to the inverted position. Through the rational dynamics analysis of the inverted pendulum system, the optimization model of...
In this work, we present a measurement-guided pattern optimization scheme directed towards maximizing signal-noise-ratio in tomographic measurements by reducing the dynamic range in transmitted signal intensity in small animal models.
Dam adaptive management is an effective way to river ecosystem restoration, yet it may decrease the traditional output of hydro project. This paper developed an optimization model of dam operation based on Genetic Algorithms, with annual electricity as objective and ecological flow demands as major constraints. Through this model, an optimal operation plan on reservoir dispatching can be achieved...
The differential evolution algorithm (DE) for pick-and-placing problem of multi-head surface mounting machines is studied, and the research work has two contributions to the multi-head case, one is that the algorithm has a special mutation operation; the other is the crossover operation. Experimental results show that the proposed approach gives good robot assembly time and less movement of the feeder...
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