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ABSTRACT: This paper revisits the problem of characterizing the highest spatial
throughput -- or spatial capacity -- of wireless networks in [bits/s/Hz/square
meter] in light of some recent results. We analyze the expected maximum
achievable sum rates over a given area based on the capacity regions of
Gaussian point-to-point codes in Poisson distributed wireless networks under
two decoding rules, namely (i) IAN: treating interference as noise, and (ii)
OPT: jointly detecting the strongest interfering signals, treating the others
as noise. We prove that the average spatial capacity is the product of the
network density and the expected value of the achievable coding rates that
maximize the spatial throughput for different network realizations. Assuming
that the closest interferer power approximates the aggregate interference
caused by all transmitters that are treated as noise, we analytically derive
several properties of the average spatial capacity and evince the better
performance of OPT decoders. We also compare these results to the ones obtained
for a scenario where transmitters code their messages at predetermined fixed
rates that are tuned to optimize the average spatial throughput, regardless of
particular realizations of the network. Using this approach, however, some
rates may not be achievable, yielding outage events. We analytically show that,
when the same decoding rule and network density are considered, the
spatial-capacity-achieving scheme always outperforms the spatial throughput
obtained with the best predetermined fixed rate strategy. We then discuss the
validity of our approximation using simulation results and implementation
issues related to different mobility patterns.
03/2013;
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ABSTRACT: This paper presents an unusual view of interference wireless networks based
on complex system thinking. To proceed with this analysis, a literature review
of the different applications of complex systems is firstly presented to
illustrate how such an approach can be used in a wide range of research topics,
from economics to linguistics. Then the problem of quantifying the fundamental
limits of wireless systems where the co-channel interference is the main
limiting factor is described and hence contextualized in the perspective of
complex systems. Specifically some possible internal and external pressures
that the network elements may suffer are identified as, for example, queue
stability, maximum packet loss rate and transmit power constraint. Besides,
other important external factors such as mobility and incoming traffic are also
pointed out. As a study case, a decentralized point-to-point interference
network is described and several claims about the optimal design setting for
different network states and under two mobility conditions, namely quasi-static
and highly mobile, are stated based on results found in the literature. Using
these claims as a background, the design of a robust adaptive algorithm that
each network element should run is investigated.
03/2013;
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IEEE Transactions on Wireless Communications. 01/2012; 11:15-20.
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ABSTRACT: In this paper, we present our results on the performance of MAC protocols in multi-hop wireless ad hoc networks in terms of the newly proposed metric “aggregate multi-hop information efficiency”. This metric captures the impact of the traffic conditions, the quality of service requirements for rate and correct packet reception, the number of hops and distance between a sender and its destination, and the outage probability for packet transmissions. Our network model considers a wireless network where nodes are distributed according to a homogeneous 2-D Poisson point process. Packet are generated following a Poisson distribution, and are forwarded to their destinations through a variable number of hops. Approximate expressions are derived for the outage probability of the ALOHA and CSMA MAC protocols, and validated with simulations. Various modifications of these protocols are considered, and their performances are compared. Moreover, an analytical procedure is presented to optimally design the communication so the multi-hop information efficiency performance of the network can be maximized.
Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2010 Proceedings of the 8th International Symposium on; 07/2010
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ABSTRACT: Abstract—In this paper, we present our results on the performance of MAC protocols in multi-hop wireless ad hoc networks in terms of the newly proposed metric “aggregate multi-hop information efficiency”. This metric captures the impact of the traffic conditions, the quality of service requirements for rate and correct packet reception, the number of hops and distance between a sender and its destination, and the outage probability for packet transmissions. Our network model considers a wireless network where nodes are distributed according to a homogeneous 2-D Poisson point process. Packet are generated following a Poisson distribution, and are forwarded to their destinations through a variable number of hops. Approximate expressions are derived for the outage probability of the ALOHA and CSMA MAC protocols, and validated with simulations. Various modifications of these protocols are considered, and their performances are compared. Moreover, an analytical procedure is presented to optimally design the communication so the multi-hop information efficiency performance of the network can be maximized.
WiOpt'10: Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks.
