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Contact:
Marcus Greferath
School of Math. Sciences
University College Dublin
Belfield, Dublin 4, Ireland
Phone:
+353-1-716-2588 (UCD)
+353-85-153-0951 (mobile)
Joachim Rosenthal
Institut of Mathematics
University of Zurich
Winterthurerstrasse 190
8057 Zurich, Switzerland
Phone:
+41-44-63 55884 (office)
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ITW 2010 Dublin
IEEE Information Theory Workshop
Dublin, August 30 - September 3, 2010
Wireless networks
Wed 01 Sep, 11.30-12.50, Room 2
Contributed session
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Anthony Fanous and Anthony Ephremides
Network-Level Cooperative Protocols for Wireless Multicasting: Stable Throughput Analysis and Use of Network Coding
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Abstract:
In this paper, we investigate the impact of network coding at the
relay node on the stable throughput rate in multicasting cooperative
wireless networks. The proposed protocol adopts Network-level
cooperation, as in contrast to the traditional physical layer
cooperative protocols; and in addition, it uses random linear
network coding at the relay node. The traffic is assumed to be
bursty and the relay node forwards its packets during the idle
periods of the source which allows better utilization of channel
resources. Our results show that cooperation leads to higher stable
throughput rates than conventional retransmission
policies. Moreover, the use of random linear network coding at the
relay can further enhance the stable throughput with increasing
network coding field size or increasing the number of packets over
which encoding is performed.
Wed 01 Sep, 11.30-11.50, Room 2
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P. C. Weeraddana, M. Codreanu, M. Latva-aho, and A. Ephremides
The Benefits from Simultaneous Transmission and Reception in Wireless Networks
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Abstract:
In a wireless network, the problem of self interference arises
whenever a node transmits and receives simultaneously in the same
frequency band. So far only two extreme approaches to circumvent
this problem were thoroughly investigated in the literature. The
first one prevents any node to transmit and receive simultaneously
which may lead to a too conservative design. The second one assumes
perfect self interference cancelation which can be too optimistic
since it ignores all possible technological limitations. To fill
this gap, we provide a method to evaluate the network layer benefits
from simultaneous transmission and reception when the network nodes
employ self interference cancelation techniques with different
degrees of accuracy. From a network design perspective, the provided
method can be used to find the required level of accuracy for the
self interference cancelation such that certain gains are achieved
at the network layer. Numerical results suggest that the accuracy of
existing self interference cancelation techniques can provide
significant gains for certain network setups.
Wed 01 Sep, 11.50-12.10, Room 2
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Bryan Larish and George Riley
The Collection Channel In a Wireless Sensor Network
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Abstract:
We define the collection channel in a Wireless Sensor Network
(WSN) and show how this collection channel can be used in the proofs
of new types of coding theorems for WSNs. These coding theorems
differ from traditional coding theorems in that they are used to
describe aspects of the WSN other than source and channel codes. We
also determine the capacity of the collection channel. This
capacity is complementary to the transport capacity of a
communication system and represents the WNS's ability to obtain
information about a phenomenon that it is sensing.
Wed 01 Sep, 12.10-12.30, Room 2
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Dejan Vukobratović, Čedomir Stefanović, and Vladimir Stanković
Fireworks: A Random Linear Coding Scheme for Distributed Storage in Wireless Sensor Networks
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Abstract:
In this paper, we investigate the design of decentralized encoding
procedure for distributed random linear coding (RLC) in
resource-constrained wireless networks. We propose a novel
distributed RLC scheme called "Fireworks", analyze its performance
and support it by simulation results. The presented results
demonstrate design flexibility of the proposed scheme, where the
design choices influence the trade-off between the coding efficiency
and encoding communication costs.
Wed 01 Sep, 12.30-12.50, Room 2
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