683,637 research outputs found

    Eigenvalue problems for the complex PT-symmetric potential V(x)= igx

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    The spectrum of complex PT-symmetric potential, V(x)=igxV(x)=igx, is known to be null. We enclose this potential in a hard-box: V(x1)=V(|x| \ge 1) =\infty and in a soft-box: V(x1)=0V(|x|\ge 1)=0. In the former case, we find real discrete spectrum and the exceptional points of the potential. The asymptotic eigenvalues behave as Enn2.E_n \sim n^2. The solvable purely imaginary PT-symmetric potentials vanishing asymptotically known so far do not have real discrete spectrum. Our solvable soft-box potential possesses two real negative discrete eigenvalues if g<(1.22330447)|g|<(1.22330447). The soft-box potential turns out to be a scattering potential not possessing reflectionless states.Comment: no figures, 9 page

    Optimal Selection of Spectrum Sensing Duration for an Energy Harvesting Cognitive Radio

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    In this paper, we consider a time-slotted cognitive radio (CR) setting with buffered and energy harvesting primary and CR users. At the beginning of each time slot, the CR user probabilistically chooses the spectrum sensing duration from a predefined set. If the primary user (PU) is sensed to be inactive, the CR user accesses the channel immediately. The CR user optimizes the sensing duration probabilities in order to maximize its mean data service rate with constraints on the stability of the primary and cognitive queues. The optimization problem is split into two subproblems. The first is a linear-fractional program, and the other is a linear program. Both subproblems can be solved efficiently.Comment: Accepted in GLOBECOM 201

    On Phase Noise Suppression in Full-Duplex Systems

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    Oscillator phase noise has been shown to be one of the main performance limiting factors in full-duplex systems. In this paper, we consider the problem of self-interference cancellation with phase noise suppression in full-duplex systems. The feasibility of performing phase noise suppression in full-duplex systems in terms of both complexity and achieved gain is analytically and experimentally investigated. First, the effect of phase noise on full-duplex systems and the possibility of performing phase noise suppression are studied. Two different phase noise suppression techniques with a detailed complexity analysis are then proposed. For each suppression technique, both free-running and phase locked loop based oscillators are considered. Due to the fact that full-duplex system performance highly depends on hardware impairments, experimental analysis is essential for reliable results. In this paper, the performance of the proposed techniques is experimentally investigated in a typical indoor environment. The experimental results are shown to confirm the results obtained from numerical simulations on two different experimental research platforms. At the end, the tradeoff between the required complexity and the gain achieved using phase noise suppression is discussed.Comment: Published in IEEE transactions on wireless communications on October-2014. Please refer to the IEEE version for the most updated documen

    Handedness of complex PT-symmetric potential barriers

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    Generally, when imaginary part of an optical potential is non-symmetric the reflectivity, R(E)R(E), shows left/right handedness, further if it is not negative-definite the reflection and transmission, T(E)T(E), coefficients become anomalous in some energy intervals and absorption is indefinite (±\pm). We find that the complex PT-symmetric potentials could be exceptional in this regard. They may act effectively like an absorptive potential for any incident energy provided the particle enters from the preferred (absorptive) side.Comment: 9 pages and 4 figure

    Analysis of Forward-Backward and Lepton Polarization Asymmetries in BK1+B\to K_{1}\ell^{+}\ell^{-} Decays in the Two-Higgs-doublet Model

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    The exclusive semileptonic BK1(1270)+B\to K_{1}(1270) \ell^{+}\ell^{-} (=μ,τ\ell=\mu , \tau) decays are analyzed in variants of two Higgs double models (THDMs). The mass eigenstates K1(1270)K_{1}(1270) and K1(1400)K_{1}(1400) are the mixture of two axial-vector SU(3) 1P1^{1}{P}_{1} and 3P1^{3}{P}_{1} states with the mixing angle θK\theta_{K}. Making use of the form factors calculated in the Light Cone QCD approach and by taking the mixing angle θK=34\theta_{K}=-34^{\circ}, the impact of the parameters of the THDMs on different asymmetries in above mentioned semileptonic BB meson decays are studied. In this context the forward-backward asymmetry and different lepton polarization asymmetries have been analyzed. We have found comprehensive effects of the parameters of the THDMs on the above mentioned asymmetries. Therefore, the precise measurements of these asymmetries at the LHC and different BB factories, for the above mentioned processes, can serve as a good tool to put some indirect constraints on the parametric space of the different versions of THDM.Comment: 25 pages, 10 figures, Accepted for Publication in PTEP. arXiv admin note: text overlap with arXiv:0804.0648 by other author

    Reactive power minimization of dual active bridge DC/DC converter with triple phase shift control using neural network

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    Reactive power flow increases dual active bridge (DAB) converter RMS current leading to an increase in conduction losses especially in high power applications. This paper proposes a new optimized triple phase shift (TPS) switching algorithm that minimizes the total reactive power of the converter. The algorithm iteratively searches for TPS control variables that satisfy the desired active power flow while selecting the operating mode with minimum reactive power consumption. This is valid for the whole range of converter operation. The iterative algorithm is run offline for the entire active power range (-1pu to 1pu) and the resulting data is used to train an open loop artificial neural network controller to reduce computational time and memory allocation necessary to store the data generated. To validate the accuracy of the proposed controller, a 500-MW 300kV/100kV DAB model is simulated in Matlab/Simulink, as a potential application for DAB in DC grids

    Self-Interference Cancellation with Nonlinear Distortion Suppression for Full-Duplex Systems

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    In full-duplex systems, due to the strong self-interference signal, system nonlinearities become a significant limiting factor that bounds the possible cancellable self-interference power. In this paper, a self-interference cancellation scheme for full-duplex orthogonal frequency division multiplexing systems is proposed. The proposed scheme increases the amount of cancellable self-interference power by suppressing the distortion caused by the transmitter and receiver nonlinearities. An iterative technique is used to jointly estimate the self-interference channel and the nonlinearity coefficients required to suppress the distortion signal. The performance is numerically investigated showing that the proposed scheme achieves a performance that is less than 0.5dB off the performance of a linear full-duplex system.Comment: To be presented in Asilomar Conference on Signals, Systems & Computers (November 2013
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