4,589 research outputs found
Achieving Max-Min Throughput in LoRa Networks
With growing popularity, LoRa networks are pivotally enabling Long Range
connectivity to low-cost and power-constrained user equipments (UEs). Due to
its wide coverage area, a critical issue is to effectively allocate wireless
resources to support potentially massive UEs in the cell while resolving the
prominent near-far fairness problem for cell-edge UEs, which is challenging to
address due to the lack of tractable analytical model for the LoRa network and
its practical requirement for low-complexity and low-overhead design. To
achieve massive connectivity with fairness, we investigate the problem of
maximizing the minimum throughput of all UEs in the LoRa network, by jointly
designing high-level policies of spreading factor (SF) allocation, power
control, and duty cycle adjustment based only on average channel statistics and
spatial UE distribution. By leveraging on the Poisson rain model along with
tailored modifications to our considered LoRa network, we are able to account
for channel fading, aggregate interference and accurate packet overlapping, and
still obtain a tractable and yet accurate closed-form formula for the packet
success probability and hence throughput. We further propose an iterative
balancing (IB) method to allocate the SFs in the cell such that the overall
max-min throughput can be achieved within the considered time period and cell
area. Numerical results show that the proposed scheme with optimized design
greatly alleviates the near-far fairness issue, and significantly improves the
cell-edge throughput.Comment: 6 pages, 4 figures, published in Proc. International Conference on
Computing, Networking and Communications (ICNC), 2020. This paper proposes
stochastic-geometry based analytical framework for a single-cell LoRa
network, with joint optimization to achieve max-min throughput for the users.
Extended journal version for large-scale multi-cell LoRa network:
arXiv:2008.0743
Analytical study of the holographic superconductor from higher derivative theory
In this paper, we analytically study the holographic superconductor models
with the high derivative (HD) coupling terms. Using the Sturm-Liouville (SL)
eigenvalue method, we perturbatively calculate the critical temperature. The
analytical results are in good agreement with the numerical results. It
confirms that the perturbative method in terms of the HD coupling parameters is
available. Along the same line, we analytically calculate the value of the
condensation near the critical temperature. We find that the phase transition
is second order with mean field behavior, which is independent of the HD
coupling parameters. Then in the low temperature limit, we also calculate the
conductivity, which is qualitatively consistent with the numerical one. We find
that the superconducting energy gap is proportional to the value of the
condensation. But we note that since the condensation changes with the HD
coupling parameters, as the function of the HD coupling parameters, the
superconducting energy gap follows the same change trend as that of the
condensation.Comment: 10 pages, 5 figure
On constant slope spacelike surfaces in 3-dimensional Minkowski space
AbstractA spacelike surface in the Minkowski 3-space is called a constant slope surface if its position vector makes a constant angle with the normal at each point on the surface. In this work, we study such surfaces and classify all of them
Scaling behavior of online human activity
The rapid development of Internet technology enables human explore the web
and record the traces of online activities. From the analysis of these
large-scale data sets (i.e. traces), we can get insights about dynamic behavior
of human activity. In this letter, the scaling behavior and complexity of human
activity in the e-commerce, such as music, book, and movie rating, are
comprehensively investigated by using detrended fluctuation analysis technique
and multiscale entropy method. Firstly, the interevent time series of rating
behaviors of these three type medias show the similar scaling property with
exponents ranging from 0.53 to 0.58, which implies that the collective
behaviors of rating media follow a process embodying self-similarity and
long-range correlation. Meanwhile, by dividing the users into three groups
based their activities (i.e., rating per unit time), we find that the scaling
exponents of interevent time series in three groups are different. Hence, these
results suggest the stronger long-range correlations exist in these collective
behaviors. Furthermore, their information complexities vary from three groups.
To explain the differences of the collective behaviors restricted to three
groups, we study the dynamic behavior of human activity at individual level,
and find that the dynamic behaviors of a few users have extremely small scaling
exponents associating with long-range anticorrelations. By comparing with the
interevent time distributions of four representative users, we can find that
the bimodal distributions may bring the extraordinary scaling behaviors. These
results of analyzing the online human activity in the e-commerce may not only
provide insights to understand its dynamic behaviors but also be applied to
acquire the potential economic interest
Josephson dynamics of a spin-orbit coupled Bose-Einstein condensate in a double well potential
We investigate the quantum dynamics of an experimentally realized spin-orbit
coupled Bose-Einstein condensate in a double well potential. The spin-orbit
coupling can significantly enhance the atomic inter-well tunneling. We find the
coexistence of internal and external Josephson effects in the system, which are
moreover inherently coupled in a complicated form even in the absence of
interatomic interactions. Moreover, we show that the spin-dependent tunneling
between two wells can induce a net atomic spin current referred as spin
Josephson effects. Such novel spin Josephson effects can be observable for
realistically experimental conditions.Comment: 8 page
Three new species of the genus Drymeia Meigen (Diptera: Muscidae) from the Qinghai-Xizang (Tibet) Plateau, China
Three new species of Drymeia are described from Qinghai-Xizang (Tibet), China: Drymeia fimbricauda Xue, sp. n., Drymeia katepimeronipilosa Xue, sp. n. and Drymeia quadratimacula Xue, sp. n. The type specimens of the new species are deposited in the Institute of Entomology, Shenyang Normal University. In addition, a generic diagnosis of Drymeia is given, and five species assigned to the genus Drymeia Meigen in Flies of China are transferred to the genus of Spilogona Schnabl. In the genus Drymeia, 48 species are now known from China. The effects of the uplift of the Qinghai-Xizang (Tibet) Plateau on the structural diversity of Drymeia species are discussed
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