4,949 research outputs found
Two-phase Unsourced Random Access in Massive MIMO: Performance Analysis and Approximate Message Passing Decoder
In this paper, we design a novel two-phase unsourced random access (URA)
scheme in massive multiple input multiple output (MIMO). In the first phase, we
collect a sequence of information bits to jointly acquire the user channel
state information (CSI) and the associated information bits. In the second
phase, the residual information bits of all the users are partitioned into
sub-blocks with a very short length to exhibit a higher spectral efficiency and
a lower computational complexity than the existing transmission schemes in
massive MIMO URA. By using the acquired CSI in the first phase, the sub-block
recovery in the second phase is cast as a compressed sensing (CS) problem. From
the perspective of the statistical physics, we provide a theoretical framework
for our proposed URA scheme to analyze the induced problem based on the replica
method.
The analytical results show that the performance metrics of our URA scheme
can be linked to the system parameters by a single-valued free entropy
function. An AMP-based recovery algorithm is designed to achieve the
performance indicated by the proposed theoretical framework. Simulations verify
that our scheme outperforms the most recent counterparts.Comment: 16pages,7 figure
Parity-time electromagnetic diodes in a two-dimensional nonreciprocal photonic crystal
We propose a kind of electromagnetic (EM) diode based on a two-dimensional nonreciprocal gyrotropic photonic crystal. This
periodic microstructure has separately broken symmetries in both parity
(P) and time-reversal (T) but obeys parity-time (PT) symmetry. This
kind of diode could support bulk one-way propagating modes either for
group velocity or phase velocity with various types of negative and
positive refraction. This symmetry-broken system could be a platform to
realize abnormal photoelectronic devices, and it may be analogous to an
electron counterpart with one-way features
A Fully Bayesian Approach for Massive MIMO Unsourced Random Access
In this paper, we propose a novel fully Bayesian approach for the massive
multiple-input multiple-output (MIMO) massive unsourced random access (URA).
The payload of each user device is coded by the sparse regression codes
(SPARCs) without redundant parity bits. A Bayesian model is established to
capture the probabilistic characteristics of the overall system. Particularly,
we adopt the core idea of the model-based learning approach to establish a
flexible Bayesian channel model to adapt the complex environments. Different
from the traditional divide-and-conquer or pilot-based massive MIMO URA
strategies, we propose a three-layer message passing (TLMP) algorithm to
jointly decode all the information blocks, as well as acquire the massive MIMO
channel, which adopts the core idea of the variational message passing and
approximate message passing. We verify that our proposed TLMP significantly
enhances the spectral efficiency compared with the state-of-the-arts baselines,
and is more robust to the possible codeword collisions
Simple approach to estimating the van der Waals interaction between carbon nanotubes
The van der Waals (vdW) interactions between carbon nanotubes (CNTs) were studied based on the continuum Lennard-Jones model. It was found that all the vdW potentials between two arbitrary CNTs fall on the same curve when plotted in terms of certain reduced parameters, the well depth, and the equilibrium vdW gap. Based on this observation, an approximate approach is developed to obtain the vdW potential between two CNTs without time-consuming computations. The vdW potential estimated by this approach is close to that obtained from complex integrations. Therefore, the developed approach can greatly simplify the calculation of vdW interactions between CNTs
Asymmetrically interacting spreading dynamics on complex layered networks
The spread of disease through a physical-contact network and the spread of
information about the disease on a communication network are two intimately
related dynamical processes. We investigate the asymmetrical interplay between
the two types of spreading dynamics, each occurring on its own layer, by
focusing on the two fundamental quantities underlying any spreading process:
epidemic threshold and the final infection ratio. We find that an epidemic
outbreak on the contact layer can induce an outbreak on the communication
layer, and information spreading can effectively raise the epidemic threshold.
When structural correlation exists between the two layers, the information
threshold remains unchanged but the epidemic threshold can be enhanced, making
the contact layer more resilient to epidemic outbreak. We develop a physical
theory to understand the intricate interplay between the two types of spreading
dynamics.Comment: 29 pages, 14 figure
One-way cloak based on nonreciprocal photonic crystal
We propose a physical concept of non-reciprocal transformation optics, by which a one-way invisible cloak is designed. The one-way invisible cloak is made of a coordinate-transformed nonreciprocal photonic crystal, showing a perfect cloaking for wave incident from one direction but acting as a perfect reflector for wave from the counter direction. The proposed design shows a high promise of applications in military, as protecting the own information to be detected but efficiently grabbing the information from the “enemy” side
Canonical interpretation of and in the family
Inspired by the new resonance , we calculate the masses and
two-body OZI-allowed strong decays of the higher vector bottomonium sates
within both screened and linear potential models. We discuss the possibilities
of and as mixed states via the mixing. Our
results suggest that and might be explained as
mixed states between - and -wave vector states. The
and resonances may correspond to the mixed states
dominated by the - and -wave components, respectively. The mass and the
strong decay behaviors of the resonance are consistent with
the assignment of the state in the potential models.Comment: 9 pages, 4 figures. More discussions are adde
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