We propose a dedicated Large-Scale Antenna System (LSAS) to provide wireless backhaul service for metro-cells.
This is a continuation of the TM [Dedicated LSAS for Metro-Cell Wireless Backhaul - Part I: Downlink, Dec. 31, 2012], where now we treat the reverse-link backhaul problem.
It is already known that significance marking of IP video packets in conjunction with a corresponding evaluation in the transport network considerably protects the quality of videos against degrada
Deep CCD images of the lensed QS0 2345+007 taken in the blue, red, and infrared show no galaxy between the QS0 images to J=25.5, R=26.5, and I=25th mag.
CCD multi-color imaging of faint galaxies in 12 random high- latitude fields reveals strong evidence for color and luminosity evolution.
The feasibility of data based machine learning applied to ultrasound tomography is studied to estimate water-saturated porous material parameters.
This paper gives a rigorous analysis of trained Generalized Hamming Networks (GHN) proposed by [9] and discloses an interesting finding about GHNs, i.e., stacked convolution layers in a GHN is equi
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.
In this paper we focus on the application of deep learning for communication over dispersive nonlinear channels, as encountered in low-cost optical intensity modulation/direct detection (IM/DD) lin
According to the literature regarding visual saliency, observers may exhibit considerable variations in their gaze behaviors.
