15,147 research outputs found
Multiple-Level Power Allocation Strategy for Secondary Users in Cognitive Radio Networks
In this paper, we propose a multiple-level power allocation strategy for the
secondary user (SU) in cognitive radio (CR) networks. Different from the
conventional strategies, where SU either stays silent or transmit with a
constant/binary power depending on the busy/idle status of the primary user
(PU), the proposed strategy allows SU to choose different power levels
according to a carefully designed function of the receiving energy. The way of
the power level selection is optimized to maximize the achievable rate of SU
under the constraints of average transmit power at SU and average interference
power at PU. Simulation results demonstrate that the proposed strategy can
significantly improve the performance of SU compared to the conventional
strategies.Comment: 12 page
The F-Landscape: Dynamically Determining the Multiverse
We evolve our Multiverse Blueprints to characterize our local neighborhood of
the String Landscape and the Multiverse of plausible string, M- and F-theory
vacua. Building upon the tripodal foundations of i) the Flipped SU(5) Grand
Unified Theory (GUT), ii) extra TeV-Scale vector-like multiplets derived out of
F-theory, and iii) the dynamics of No-Scale Supergravity, together dubbed
No-Scale F-SU(5), we demonstrate the existence of a continuous family of
solutions which might adeptly describe the dynamics of distinctive universes.
This Multiverse landscape of F-SU(5) solutions, which we shall refer to as the
F-Landscape, accommodates a subset of universes compatible with the presently
known experimental uncertainties of our own universe. We show that by
secondarily minimizing the minimum of the scalar Higgs potential of each
solution within the F-Landscape, a continuous hypervolume of distinct minimum
minimorum can be engineered which comprise a regional dominion of universes,
with our own universe cast as the bellwether. We conjecture that an
experimental signal at the LHC of the No-Scale F-SU(5) framework's
applicability to our own universe might sensibly be extrapolated as
corroborating evidence for the role of string, M- and F-theory as a master
theory of the Multiverse, with No-Scale supergravity as a crucial and pervasive
reinforcing structure.Comment: 15 Pages, 7 Figures, 1 Tabl
Chemistry and radiative shielding in star forming galactic disks
To understand the conditions under which dense, molecular gas is able to form
within a galaxy, we post-process a series of three-dimensional
galactic-disk-scale simulations with ray-tracing based radiative transfer and
chemical network integration to compute the equilibrium chemical and thermal
state of the gas. In performing these simulations we vary a number of
parameters, such as the ISRF strength, vertical scale height of stellar
sources, cosmic ray flux, to gauge the sensitivity of our results to these
variations. Self-shielding permits significant molecular hydrogen (H2)
abundances in dense filaments around the disk midplane, accounting for
approximately ~10-15% of the total gas mass. Significant CO fractions only form
in the densest, n>~10^3 cm^-3, gas where a combination of dust, H2, and
self-shielding attenuate the FUV background. We additionally compare these
ray-tracing based solutions to photochemistry with complementary models where
photo-shielding is accounted for with locally computed prescriptions. With some
exceptions, these local models for the radiative shielding length perform
reasonably well at reproducing the distribution and amount of molecular gas as
compared with a detailed, global ray tracing calculation. Specifically, an
approach based on the Jeans Length with a T=40K temperature cap performs the
best in regards to a number of different quantitative measures based on the H2
and CO abundances.Comment: 21 Pages, 15 figures. Submitted to MNRAS. Comments welcom
Outage minimisation in wireless relay networks with delay constraints and causal channel feedback
Motivated by delay‐sensitive information transmission applications, we solve an optimal power allocation problem with a K‐block delay constraint on data transmission using a cooperative relay network assuming a block fading channel model. Channel information is fed back to the transmitter only in a causal fashion, so that the optimal power allocation strategy is only based on the current and past channel gains. We consider the two simplest schemes for information transmission using a three node (a source, a relay and a destination) relay network, namely the amplify and forward (AF) and decode and forward (DF) protocols. We use a dynamic programming (DP) based methodology to solve a (K‐block delay constrained) general expected cost optimisation problem with a short term (over K blocks) sum power (total transmission power of the source and the relay) constraint. By specialising the cost function appropriately, we solve the delay constrained outage minimisation problem in this paper. We also propose a simple but sub‐optimal power allocation scheme based on a high signal to noise ratio (SNR) approximation, which is computationally much less demanding than the DP‐based optimal method. Extensive numerical results are presented for Rayleigh and Rician fading channels, including results demonstrating the performance gain obtained by optimally allocating the (sum of source and relay) power to the different blocks as opposed to equally distributing the total power across all blocks. The accuracy of the high SNR approximation based power allocation scheme is also illustrated
Lifetime Optimization for Wireless Sensor Networks with Outage Probability Constraints
Due to the limited energy resources in a wireless sensor network (WSN), lifetime of a WSN is a key parameter. In this paper, we address a lifetime optimization problem of a wireless TDMA/CDMA sensor network for joint transmit power and rate allocations in a time-varying fast Rayleigh fading environment. The effect of fast fading is captured by including rate outage and link outage constraints on each link and a given time-slot. A resulting nonconvex problem is then reduced to an approximate convex optimization problem using an appropriate functional approximation and variable substitutions. This centralized problem is then solved by standard barrier-method based optimization algorithms. A partially distributed algorithm is also provided to illustrate how most of the computations can be done locally at each node in a decentralized manner. The novelty of the paper lies in considering fast fading channels via outage probability constraints for the first time in lifetime maximization problems and obtaining a better convex approximation than previously used approximations in the literature. Simulation results illustrate that our centralized algorithm results in optimal power and rate allocations that result in a substantially extended lifetime of the WSN compared to previously published algorithms. The convergence of the partially distributed algorithms to the optimal power and rate solutions is also illustrated
Lifetime Optimization for Wireless Sensor Networks with Outage Probability Constraints
Due to the limited energy resources in a wireless sensor network (WSN), lifetime of a WSN is a key parameter. In this paper, we address a lifetime optimization problem of a wireless TDMA/CDMA sensor network for joint transmit power and rate allocations in a time-varying fast Rayleigh fading environment. The effect of fast fading is captured by including rate outage and link outage constraints on each link and a given time-slot. A resulting nonconvex problem is then reduced to an approximate convex optimization problem using an appropriate functional approximation and variable substitutions. This centralized problem is then solved by standard barrier-method based optimization algorithms. A partially distributed algorithm is also provided to illustrate how most of the computations can be done locally at each node in a decentralized manner. The novelty of the paper lies in considering fast fading channels via outage probability constraints for the first time in lifetime maximization problems and obtaining a better convex approximation than previously used approximations in the literature. Simulation results illustrate that our centralized algorithm results in optimal power and rate allocations that result in a substantially extended lifetime of the WSN compared to previously published algorithms. The convergence of the partially distributed algorithms to the optimal power and rate solutions is also illustrated
Infall, Fragmentation and Outflow in Sgr B2
Observations of HCO lines and continuum at 1.3 mm towards Sgr B2(N) and
Sgr B2(M) cores were carried out with the SMA. We imaged HCO line
absorption against the continuum cores and the surrounding line emission
clumps. The results show that the majority of the dense gas is falling into the
major cores where massive stars have been formed. The filaments and clumps of
the continuum and gas are detected outside of Sgr B2(N) and Sgr B2(M) cores.
Both the spectra and moment analysis show the presence of outflows from Sgr
B2(M) cores. The HCO gas in the red-shifted outflow of Sgr B2(M) appears
to be excited by a non-LTE process which might be related to the shocks in the
outflow.Comment: 5 pages, 3 figures, Published in J. Physics Conference Serie
New stopping criteria for segmenting DNA sequences
We propose a solution on the stopping criterion in segmenting inhomogeneous
DNA sequences with complex statistical patterns. This new stopping criterion is
based on Bayesian Information Criterion (BIC) in the model selection framework.
When this stopping criterion is applied to a left telomere sequence of yeast
Saccharomyces cerevisiae and the complete genome sequence of bacterium
Escherichia coli, borders of biologically meaningful units were identified
(e.g. subtelomeric units, replication origin, and replication terminus), and a
more reasonable number of domains was obtained. We also introduce a measure
called segmentation strength which can be used to control the delineation of
large domains. The relationship between the average domain size and the
threshold of segmentation strength is determined for several genome sequences.Comment: 4 pages, 4 figures, Physical Review Letters, to appea
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