1,408 research outputs found
Dynamics of horizontal-like maps in higher dimension
We study the regularity of the Green currents and of the equilibrium measure
associated to a horizontal-like map in C^k, under a natural assumption on the
dynamical degrees. We estimate the speed of convergence towards the Green
currents, the decay of correlations for the equilibrium measure and the
Lyapounov exponents. We show in particular that the equilibrium measure is
hyperbolic. We also show that the Green currents are the unique invariant
vertical and horizontal positive closed currents. The results apply, in
particular, to Henon-like maps, to regular polynomial automorphisms of C^k and
to their small pertubations.Comment: Dedicated to Professor Gennadi Henkin on the occasion of his 65th
birthday, 37 pages, to appear in Advances in Mat
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework
To enable an intelligent, programmable and multi-vendor radio access network
(RAN) for 6G networks, considerable efforts have been made in standardization
and development of open RAN (O-RAN). So far, however, the applicability of
O-RAN in controlling and optimizing RAN functions has not been widely
investigated. In this paper, we jointly optimize the flow-split distribution,
congestion control and scheduling (JFCS) to enable an intelligent traffic
steering application in O-RAN. Combining tools from network utility
maximization and stochastic optimization, we introduce a multi-layer
optimization framework that provides fast convergence, long-term
utility-optimality and significant delay reduction compared to the
state-of-the-art and baseline RAN approaches. Our main contributions are
three-fold: i) we propose the novel JFCS framework to efficiently and
adaptively direct traffic to appropriate radio units; ii) we develop
low-complexity algorithms based on the reinforcement learning, inner
approximation and bisection search methods to effectively solve the JFCS
problem in different time scales; and iii) the rigorous theoretical performance
results are analyzed to show that there exists a scaling factor to improve the
tradeoff between delay and utility-optimization. Collectively, the insights in
this work will open the door towards fully automated networks with enhanced
control and flexibility. Numerical results are provided to demonstrate the
effectiveness of the proposed algorithms in terms of the convergence rate,
long-term utility-optimality and delay reduction.Comment: 15 pages, 10 figures. A short version will be submitted to IEEE
GLOBECOM 202
Suppression of Intensity Fluctuations in Free Space High-Speed Optical Communication Based on Spectral Encoding of a Partially Coherent Beam
A new concept of a free-space, high-speed (Gbps) optical communication system
based on spectral encoding of radiation from a broadband pulsed laser is
developed. It is shown that, in combination with the use of partially coherent
laser beams and a relatively slow photosensor, scintillations can be suppressed
by orders of magnitude for distances of more than 10 km. We also consider the
spectral encoding of radiation from a LED as a gigabit rate solution of the
"last mile" problem and rapid-deployment systems for disaster recovery.Comment: 16 pages, 2 figure
Nano strain-amplifier: making ultra-sensitive piezoresistance in nanowires possible without the need of quantum and surface charge effects
This paper presents an innovative nano strain-amplifier employed to
significantly enhance the sensitivity of piezoresistive strain sensors.
Inspired from the dogbone structure, the nano strain-amplifier consists of a
nano thin frame released from the substrate, where nanowires were formed at the
centre of the frame. Analytical and numerical results indicated that a nano
strain-amplifier significantly increases the strain induced into a free
standing nanowire, resulting in a large change in their electrical conductance.
The proposed structure was demonstrated in p-type cubic silicon carbide
nanowires fabricated using a top down process. The experimental data showed
that the nano strain-amplifier can enhance the sensitivity of SiC strain
sensors at least 5.4 times larger than that of the conventional structures.
This result indicates the potential of the proposed strain-amplifier for
ultra-sensitive mechanical sensing applications.Comment: 4 pages, 5 figure
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework
peer reviewedTo enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G networks, considerable efforts have been made in standardization and development of open RAN (O-RAN). So far, however, the applicability of O-RAN in controlling and optimizing RAN functions has not been widely investigated. In this paper, we jointly optimize the flow-split distribution, congestion control and scheduling (JFCS) to enable an intelligent traffic steering application in O-RAN. Combining tools from network utility maximization and stochastic optimization, we introduce a multi-layer optimization framework that provides fast convergence, long-term utility-optimality and significant delay reduction compared to the state-of-the-art and baseline RAN approaches. Our main contributions are three-fold: i ) we propose the novel JFCS framework to efficiently and adaptively direct traffic to appropriate radio units; ii ) we develop low-complexity algorithms based on the reinforcement learning, inner approximation and bisection search methods to effectively solve the JFCS problem in different time scales; and iii ) the rigorous theoretical performance results are analyzed to show that there exists a scaling factor to improve the tradeoff between delay and utility-optimization. Collectively, the insights in this work will open the door towards fully automated networks with enhanced control and flexibility. Numerical results are provided to demonstrate the effectiveness of the proposed algorithms in terms of the convergence rate, long-term utility-optimality and delay reduction
The role of the family in HIV status disclosure among women in Vietnam: Familial dependence and independence
© 2018 Taylor & Francis Group, LLC. Insights into disclosure by people living with HIV and AIDS (PLWHA) can inform strategies for treatment and support, yet Vietnamese women's self-disclosure patterns are poorly understood. We conducted interviews with 12 HIV-positive women, identifying three principal factors influencing disclosure to family members: patrilocal residence, desire to protect own family, and the need for financial support. Women's decision-making about disclosure was significantly affected by dependence on or independence of parents-in-law and their own parents. We believe that our findings reveal the complex interplay of stigma and disclosure within Vietnamese families, highlighting the need for specific social measures that promote self-disclosure combined with family support for female PLWHA
On The Global Renormalization and Regularization of Several Complex Variable Zeta Functions by Computer
This review concerns the resolution of a special case of
Knizhnik-Zamolodchikov equations () using our recent results on
combinatorial aspects of zeta functions on several variables and software on
noncommutative symbolic computations. In particular, we describe the actual
solution of leading to the unique noncommutative series, ,
so-called Drinfel'd associator (or Drinfel'd series). Non-trivial expressions
for series with rational coefficients, satisfying the same properties with
, are also explicitly provided due to the algebraic structure and
the singularity analysis of the polylogarithms and harmonic sums
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