1,789,118 research outputs found
Satellite Communications: Impact on Developing Economies
Access to information and communication infrastructure greatly enhances economic growth. When a reliable and affordable medium for information exchange is available, previously unanticipated developments ensue. Most areas in developing countries are sparsely populated and highly rural. Satellite communication is an excellent option for meeting this and many other pressing communication needs of developing economies. This paper examines the impact of satellite communication on developing economies, using popular examples as case study
Efficient Machine-type Communication using Multi-metric Context-awareness for Cars used as Mobile Sensors in Upcoming 5G Networks
Upcoming 5G-based communication networks will be confronted with huge
increases in the amount of transmitted sensor data related to massive
deployments of static and mobile Internet of Things (IoT) systems. Cars acting
as mobile sensors will become important data sources for cloud-based
applications like predictive maintenance and dynamic traffic forecast. Due to
the limitation of available communication resources, it is expected that the
grows in Machine-Type Communication (MTC) will cause severe interference with
Human-to-human (H2H) communication. Consequently, more efficient transmission
methods are highly required. In this paper, we present a probabilistic scheme
for efficient transmission of vehicular sensor data which leverages favorable
channel conditions and avoids transmissions when they are expected to be highly
resource-consuming. Multiple variants of the proposed scheme are evaluated in
comprehensive realworld experiments. Through machine learning based combination
of multiple context metrics, the proposed scheme is able to achieve up to 164%
higher average data rate values for sensor applications with soft deadline
requirements compared to regular periodic transmission.Comment: Best Student Paper Awar
Will TCP work in mmWave 5G Cellular Networks?
The vast available spectrum in the millimeter wave (mmWave) bands offers the
possibility of multi-Gbps data rates for fifth generation (5G) cellular
networks. However, mmWave capacity can be highly intermittent due to the
vulnerability of mmWave signals to blockages and delays in directional
searching. Such highly variable links present unique challenges for adaptive
control mechanisms in transport layer protocols and end-to-end applications.
This paper considers the fundamental question of whether TCP - the most widely
used transport protocol - will work in mmWave cellular systems. The paper
provides a comprehensive simulation study of TCP considering various factors
such as the congestion control algorithm, including the recently proposed TCP
BBR, edge vs. remote servers, handover and multi- connectivity, TCP packet size
and 3GPP-stack parameters. We show that the performance of TCP on mmWave links
is highly dependent on different combinations of these parameters, and identify
the open challenges in this area.Comment: 7 pages, 4 figures, 2 tables. To be published in the IEEE
Communication Magazin
Postselection-Loophole-Free Bell Test Over an Installed Optical Fiber Network
Device-independent (DI) quantum communication will require a loophole-free
violation of Bell inequalities. In typical scenarios where line-of-sight
between the communicating parties is not available, it is convenient to use
energy-time entangled photons due to intrinsic robustness while propagating
over optical fibers. Here we show an energy-time Clauser-Horne-Shimony-Holt
Bell inequality violation with two parties separated by 3.7 km over the
deployed optical fiber network belonging to the University of Concepci\'on in
Chile. Remarkably, this is the first Bell violation with spatially separated
parties that is free of the post-selection loophole, which affected all
previous in-field long-distance energy-time experiments. Our work takes a
further step towards a fiber-based loophole-free Bell test, which is highly
desired for secure quantum communication due to the widespread existing
telecommunication infrastructure.Comment: 5 pages, 3 figures. Matches published versio
High performance subgraph mining in molecular compounds
Structured data represented in the form of graphs arises in
several fields of the science and the growing amount of available data makes distributed graph mining techniques particularly relevant. In this paper, we present a distributed approach to the frequent subgraph mining
problem to discover interesting patterns in molecular compounds. The problem is characterized by a highly irregular search tree, whereby no reliable workload prediction is available. We describe the three main
aspects of the proposed distributed algorithm, namely a dynamic partitioning of the search space, a distribution process based on a peer-to-peer communication framework, and a novel receiver-initiated, load balancing
algorithm. The effectiveness of the distributed method has been evaluated on the well-known National Cancer Institute’s HIV-screening dataset, where the approach attains close-to linear speedup in a network
of workstations
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