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    <link>http://hdl.handle.net/1813/21927</link>
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        <rdf:li rdf:resource="http://hdl.handle.net/1813/19319" />
        <rdf:li rdf:resource="http://hdl.handle.net/1813/3294" />
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    <dc:date>2013-05-25T11:13:58Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/1813/19319">
    <title>1868-2009: ONLINE Comprehensive Index to the Individual Memorial Statements of the Cornell University Faculty</title>
    <link>http://hdl.handle.net/1813/19319</link>
    <description>Title: 1868-2009: ONLINE Comprehensive Index to the Individual Memorial Statements of the Cornell University Faculty
Authors: Cooke, J. Robert (Producer)
Abstract: This is a Comprehensive Index to the Online Cornell Faculty Memorial Statements.</description>
    <dc:date>2010-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/1813/3294">
    <title>Distributed Cooperative Communication in Large-Scale Wireless Networks</title>
    <link>http://hdl.handle.net/1813/3294</link>
    <description>Title: Distributed Cooperative Communication in Large-Scale Wireless Networks
Authors: Sirkeci, Birsen
Abstract: Cooperative communication employs distributed transmission resources&#xD;
at the physical layer as a single radio with spatial diversity in&#xD;
order to increase the performance of wireless networks. However,&#xD;
node cooperation entails large communication overhead, and&#xD;
distributed protocols that eliminate or reduce the communication&#xD;
overhead are desirable. This dissertation proposes distributed&#xD;
cooperative schemes for wireless ad hoc networks and develops new&#xD;
methods to analyze their performance.&#xD;
&#xD;
&#xD;
First, we study the behavior of distributed cooperative transmission&#xD;
in wireless networks for both point-to-point and broadcasting&#xD;
scenarios. In particular, we analyze the effect of critical network&#xD;
parameters on the number of nodes reached by cooperative&#xD;
transmission.  We show that there exists a phase transition in the&#xD;
network behavior: if the decoding threshold is below a critical&#xD;
value, the message is delivered to the intended recipient(s).&#xD;
Otherwise, only a fraction of the nodes is reached. Our approach is&#xD;
based on the idea of continuum approximation, which yields&#xD;
closed-form expressions that are accurate when the network density&#xD;
is high.&#xD;
&#xD;
We next study the optimal power allocation problem for the&#xD;
cooperative broadcast in dense large-scale networks. The&#xD;
transmission order (schedule) and the transmission powers of the&#xD;
relays are designed so that the message reaches the entire network&#xD;
with the minimum possible total power consumption. In general,&#xD;
finding the best scheduling in cooperative broadcast is known to be&#xD;
an NP-complete problem. We show that the optimal scheduling problem&#xD;
can be solved for dense networks, which can be expressed as a&#xD;
continuum of nodes.&#xD;
&#xD;
&#xD;
Finally, we study the design of distributed space-time codes for&#xD;
cooperative communication. With few exceptions, most of the&#xD;
literature on the subject proposes coding rules such that either&#xD;
inter-node communication or a central control unit is required for&#xD;
code assignment.  We introduce novel randomized strategies that&#xD;
decentralize the transmission of a space time code from a set of&#xD;
distributed relays. Our simple idea is to let each node transmit an&#xD;
independent random linear combination of the codewords that would&#xD;
have been transmitted by all the elements of a multi-antenna system.&#xD;
We show that the proposed scheme achieves the optimal diversity&#xD;
order.</description>
    <dc:date>2006-07-19T12:10:21Z</dc:date>
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