44,596 research outputs found
On Optimality of Myopic Sensing Policy with Imperfect Sensing in Multi-channel Opportunistic Access
We consider the channel access problem under imperfect sensing of channel
state in a multi-channel opportunistic communication system, where the state of
each channel evolves as an independent and identically distributed Markov
process. The considered problem can be cast into a restless multi-armed bandit
(RMAB) problem that is of fundamental importance in decision theory. It is
well-known that solving the RMAB problem is PSPACE-hard, with the optimal
policy usually intractable due to the exponential computation complexity. A
natural alternative is to consider the easily implementable myopic policy that
maximizes the immediate reward but ignores the impact of the current strategy
on the future reward. In this paper, we perform an analytical study on the
optimality of the myopic policy under imperfect sensing for the considered RMAB
problem. Specifically, for a family of generic and practically important
utility functions, we establish the closed-form conditions under which the
myopic policy is guaranteed to be optimal even under imperfect sensing. Despite
our focus on the opportunistic channel access, the obtained results are generic
in nature and are widely applicable in a wide range of engineering domains.Comment: 21 pages regular pape
On Optimality of Myopic Policy for Restless Multi-armed Bandit Problem with Non i.i.d. Arms and Imperfect Detection
We consider the channel access problem in a multi-channel opportunistic
communication system with imperfect channel sensing, where the state of each
channel evolves as a non independent and identically distributed Markov
process. This problem can be cast into a restless multi-armed bandit (RMAB)
problem that is intractable for its exponential computation complexity. A
natural alternative is to consider the easily implementable myopic policy that
maximizes the immediate reward but ignores the impact of the current strategy
on the future reward. In particular, we develop three axioms characterizing a
family of generic and practically important functions termed as -regular
functions which includes a wide spectrum of utility functions in engineering.
By pursuing a mathematical analysis based on the axioms, we establish a set of
closed-form structural conditions for the optimality of myopic policy.Comment: Second version, 16 page
Nonexistence of Entanglement Sudden Death in High NOON States
We study the dynamics of entanglement in continuous variable quantum systems
(CVQS). Specifically, we study the phenomena of Entanglement Sudden Death (ESD)
in general two-mode-N-photon states undergoing pure dephasing. We show that for
these states, ESD never occurs. These states are generalizations of the
so-called High NOON states, shown to decrease the Rayleigh limit of lambda to
lambda/N, which promises great improvement in resolution of interference
patterns if states with large N are physically realized. However, we show that
in dephasing NOON states, the time to reach V_crit, critical visibility, scales
inversely with N^2. On the practical level, this shows that as N increases, the
visibility degrades much faster, which is likely to be a considerable drawback
for any practical application of these states.Comment: 4 pages, 1 figur
Estimation of subsurface porosities and thermal conductivities of polygonal tundra by coupled inversion of electrical resistivity, temperature, and moisture content data
Studies indicate greenhouse gas emissions following permafrost thaw will amplify current rates of atmospheric warming, a process referred to as the permafrost carbon feedback. However, large uncertainties exist regarding the timing and magnitude of the permafrost carbon feedback, in part due to uncertainties associated with subsurface permafrost parameterization and structure. Development of robust parameter estimation methods for permafrost-rich soils is becoming urgent under accelerated warming of the Arctic. Improved parameterization of the subsurface properties in land system models would lead to improved predictions and a reduction of modeling uncertainty. In this work we set the groundwork for future parameter estimation (PE) studies by developing and evaluating a joint PE algorithm that estimates soil porosities and thermal conductivities from time series of soil temperature and moisture measurements and discrete in-time electrical resistivity measurements. The algorithm utilizes the Model-Independent Parameter Estimation and Uncertainty Analysis toolbox and coupled hydrological-thermal-geophysical modeling. We test the PE algorithm against synthetic data, providing a proof of concept for the approach. We use specified subsurface porosities and thermal conductivities and coupled models to set up a synthetic state, perturb the parameters, and then verify that our PE method is able to recover the parameters and synthetic state. To evaluate the accuracy and robustness of the approach we perform multiple tests for a perturbed set of initial starting parameter combinations. In addition, we varied types and quantities of data to better understand the optimal dataset needed to improve the PE method. The results of the PE tests suggest that using multiple types of data improve the overall robustness of the method. Our numerical experiments indicate that special care needs to be taken during the field experiment setup so that (1) the vertical distance between adjacent measurement sensors allows the signal variability in space to be resolved and (2) the longer time interval between resistivity snapshots allows signal variability in time to be resolved
S-Lemma with Equality and Its Applications
Let and be two quadratic functions
having symmetric matrices and . The S-lemma with equality asks when the
unsolvability of the system implies the existence of a real
number such that . The
problem is much harder than the inequality version which asserts that, under
Slater condition, is unsolvable if and only if for some . In this paper, we
show that the S-lemma with equality does not hold only when the matrix has
exactly one negative eigenvalue and is a non-constant linear function
(). As an application, we can globally solve as well as the two-sided generalized trust region subproblem
without any condition. Moreover, the
convexity of the joint numerical range where is a (possibly non-convex) quadratic
function and are affine functions can be characterized
using the newly developed S-lemma with equality.Comment: 34 page
Room-temperature lasing action in GaN quantum wells in the infrared 1.5 micron region
Large-scale optoelectronics integration is strongly limited by the lack of
efficient light sources, which could be integrated with the silicon
complementary metal-oxide-semiconductor (CMOS) technology. Persistent efforts
continue to achieve efficient light emission from silicon in the extending the
silicon technology into fully integrated optoelectronic circuits. Here, we
report the realization of room-temperature stimulated emission in the
technologically crucial 1.5 micron wavelength range from Er-doped GaN
multiple-quantum wells on silicon and sapphire. Employing the well-acknowledged
variable stripe technique, we have demonstrated an optical gain up to 170 cm-1
in the multiple-quantum well structures. The observation of the stimulated
emission is accompanied by the characteristic threshold behavior of emission
intensity as a function of pump fluence, spectral linewidth narrowing and
excitation length. The demonstration of room-temperature lasing at the minimum
loss window of optical fibers and in the eye-safe wavelength region of 1.5
micron are highly sought-after for use in many applications including defense,
industrial processing, communication, medicine, spectroscopy and imaging. As
the synthesis of Er-doped GaN epitaxial layers on silicon and sapphire has been
successfully demonstrated, the results laid the foundation for achieving hybrid
GaN-Si lasers providing a new pathway towards full photonic integration for
silicon optoelectronics.Comment: 23 pages, 3 figure
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