15,596 research outputs found
Optimal Ramp Schemes and Related Combinatorial Objects
In 1996, Jackson and Martin proved that a strong ideal ramp scheme is
equivalent to an orthogonal array. However, there was no good characterization
of ideal ramp schemes that are not strong. Here we show the equivalence of
ideal ramp schemes to a new variant of orthogonal arrays that we term augmented
orthogonal arrays. We give some constructions for these new kinds of arrays,
and, as a consequence, we also provide parameter situations where ideal ramp
schemes exist but strong ideal ramp schemes do not exist
End-to-End Algebraic Network Coding for Wireless TCP/IP Networks
The Transmission Control Protocol (TCP) was designed to provide reliable
transport services in wired networks. In such networks, packet losses mainly
occur due to congestion. Hence, TCP was designed to apply congestion avoidance
techniques to cope with packet losses. Nowadays, TCP is also utilized in
wireless networks where, besides congestion, numerous other reasons for packet
losses exist. This results in reduced throughput and increased transmission
round-trip time when the state of the wireless channel is bad. We propose a new
network layer, that transparently sits below the transport layer and hides non
congestion-imposed packet losses from TCP. The network coding in this new layer
is based on the well-known class of Maximum Distance Separable (MDS) codes.Comment: Accepted for the 17th International Conference on Telecommunications
2010 (ICT2010), Doha, Qatar, April 4 - 7, 2010. 6 pages, 7 figure
Structured optical receivers to attain superadditive capacity and the Holevo limit
When classical information is sent over a quantum channel, attaining the
ultimate limit to channel capacity requires the receiver to make joint
measurements over long codeword blocks. For a pure-state channel, we construct
a receiver that can attain the ultimate capacity by applying a single-shot
unitary transformation on the received quantum codeword followed by
simultaneous (but separable) projective measurements on the
single-modulation-symbol state spaces. We study the ultimate limits of
photon-information-efficient communications on a lossy bosonic channel. Based
on our general results for the pure-state quantum channel, we show some of the
first concrete examples of codes and structured joint-detection optical
receivers that can achieve fundamentally higher (superadditive) channel
capacity than conventional receivers that detect each modulation symbol
individually.Comment: 4 pages, 4 figure
Repair Scheduling in Wireless Distributed Storage with D2D Communication
We consider distributed storage (DS) for a wireless network where mobile
devices arrive and depart according to a Poisson random process. Content is
stored in a number of mobile devices, using an erasure correcting code. When
requesting a piece of content, a user retrieves the content from the mobile
devices using device-to-device communication or, if not possible, from the base
station (BS), at the expense of a higher communication cost. We consider the
repair problem when a device that stores data leaves the network. In
particular, we introduce a repair scheduling where repair is performed (from
storage devices or the BS) periodically. We derive analytical expressions for
the overall communication cost of repair and download as a function of the
repair interval. We illustrate the analysis by giving results for maximum
distance separable codes and regenerating codes. Our results indicate that DS
can reduce the overall communication cost with respect to the case where
content is only downloaded from the BS, provided that repairs are performed
frequently enough. The required repair frequency depends on the code used for
storage and the network parameters. In particular, minimum bandwidth
regenerating codes require very frequent repairs, while maximum distance
separable codes give better performance if repair is performed less frequently.
We also show that instantaneous repair is not always optimal.Comment: To be presented at IEEE Information Theory Workshop (ITW) 2015, Jeju
Island, Korea, October 201
Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition
This paper assumes the hypothesis that human learning is perception based,
and consequently, the learning process and perceptions should not be
represented and investigated independently or modeled in different simulation
spaces. In order to keep the analogy between the artificial and human learning,
the former is assumed here as being based on the artificial perception. Hence,
instead of choosing to apply or develop a Computational Theory of (human)
Perceptions, we choose to mirror the human perceptions in a numeric
(computational) space as artificial perceptions and to analyze the
interdependence between artificial learning and artificial perception in the
same numeric space, using one of the simplest tools of Artificial Intelligence
and Soft Computing, namely the perceptrons. As practical applications, we
choose to work around two examples: Optical Character Recognition and Iris
Recognition. In both cases a simple Turing test shows that artificial
perceptions of the difference between two characters and between two irides are
fuzzy, whereas the corresponding human perceptions are, in fact, crisp.Comment: 5th Int. Conf. on Soft Computing and Applications (Szeged, HU), 22-24
Aug 201
Two hybrid ARQ error control schemes for near Earth satellite communications
Two hybrid Automatic Repeat Request (ARQ) error control schemes are proposed for NASA near Earth satellite communications. Both schemes are adaptive in nature, and employ cascaded codes to achieve both high reliability and throughput efficiency for high data rate file transfer
Two hybrid ARQ error control schemes for near earth satellite communications
Two hybrid automatic repeat request (ARQ) error control schemes are proposed for NASA near earth satellite communications. Both schemes are adaptive in nature, and employ cascaded codes to achieve both high reliability and throughput efficiency for high data rate file transfer
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