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In heterogeneous networks (HetNets), the deployment of small cells is accompanied by load balance and interference problems. A time-domain solution is enhanced Inter-Cell Interference Coordination (eICIC), which involves two parameters: Cell Range Extension (CRE) bias and Almost Blank Subframe (ABS) ratio. The centralized algorithm of jointly optimizing these two parameters is time consuming and is...
Physical layer security in the presence of passive eavesdroppers (i.e., the eavesdroppers' channels are unknown to the transmitter) in correlated channels is addressed. The majority of the literature with passive eavesdroppers assumption focus on uncorrelated channels and random artificial noise (AN) generation in the null space of the legitimate channel. This paper targets joint optimization of the...
Enhanced Inter Cell Interference Coordination (eICIC) is a time-domain technique to achieve load balancing among macro and pico cells in heterogeneous networks (HetNets). eICIC uses two network parameters to address the interference problem: i) Cell Range Extension (CRE) to increase the coverage of pico cells; ii) Almost Blank Subframe (ABS) to reduce the interference for users in pico cells when...
POLSAR image classification plays an important role in remote sensing. POLSAR data are a type of mass data and have more independent features which can represent different physical significances than optical image. Therefore, POLSAR image classification is actually a high dimensional nonlinear mapping problem. Because of the nonlinear mapping function of BP neural network, it can be used to classify...
MPC is a kind of computer control algorithm based on predictive model of the industry process. The classic MPCs, which are all based on linear predictive models, are unfit for the strong-nonlinearity control systems. This paper proposed a nonlinear one-step predictive model based on a two-layer BP Neural Network through consulting to the math expression of NARMAX model and constructed a one-step model...
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