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Design and analysis of high-performa...

University of Southern California., Electrical Engineering.

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Design and analysis of high-performance cooperative relay networks.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Design and analysis of high-performance cooperative relay networks./
Author:	Huang, Wan-Jen.
Description:	162 p.
Notes:	Adviser: C.-C. Jay Kuo.
Contained By:	Dissertation Abstracts International69-06B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3311149
ISBN:	9780549608820

Design and analysis of high-performance cooperative relay networks.
Huang, Wan-Jen.

Design and analysis of high-performance cooperative relay networks. - 162 p.

Adviser: C.-C. Jay Kuo.

Thesis (Ph.D.)--University of Southern California, 2008.

Cooperative communications have attracted a considerable amount of attention in recent years by exploiting the spatial diversity gain inherent in a multi-user wireless system without the need of multiple antennas at each node. In this dissertation, we consider ways to enhance the performance of energy-constrained cooperative networks in two aspects.

ISBN: 9780549608820Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Design and analysis of high-performance cooperative relay networks.
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020 $a 9780549608820
035 $a (UMI)AAI3311149
035 $a AAI3311149
040 $a UMI $c UMI
100 1 $a Huang, Wan-Jen. $3 1023629
245 1 0 $a Design and analysis of high-performance cooperative relay networks.
300 $a 162 p.
500 $a Adviser: C.-C. Jay Kuo.
500 $a Source: Dissertation Abstracts International, Volume: 69-06, Section: B, page: 3747.
502 $a Thesis (Ph.D.)--University of Southern California, 2008.
520 $a Cooperative communications have attracted a considerable amount of attention in recent years by exploiting the spatial diversity gain inherent in a multi-user wireless system without the need of multiple antennas at each node. In this dissertation, we consider ways to enhance the performance of energy-constrained cooperative networks in two aspects.
520 $a First, we devise power allocation strategies to maximize the lifetime of the amplify-and-forward (AF) cooperative network. Based on selective relaying, we propose three strategies that take into account the local channel state information (CSI) and the local residual energy information (REI) at each relay to prolong the network lifetime. With a finite number of power levels, the energy dissipation process can be modeled as a finite-state Markov chain and the optimal lifetime maximization strategy can be derived using dynamic programming. We demonstrate that the network lifetime can be extended considerably by exploiting both CSI and REI via numerical simulation. The performance of the proposed strategies that utilize only local CSI and REI is shown to be comparable to that of the optimal strategy that demands global CSI and REI.
520 $a Second, we examine the uplink of a synchronous cooperative CDMA network, where users cooperate by relaying each other's messages to the base station. When spreading waveforms are not orthogonal, multiple access interference (MAI) exists at relays and the destination, causing the cooperative diversity gain to diminish. To address this problem, we propose the relay-assisted decorrelating multiuser detector (RAD-MUD) to separate interfering signals at the destination with the help of precoding at relays along with pre-whitening at the destination. Three cooperative transmission strategies are considered on top of RAD-MUD; namely, transmit beamforming, selective relaying and distributed space-time coding. Since the reliability of each source-relay and/or relay-destination links is different, relay transmissions are weighted accordingly to further combat MAI. The RAD-MUD system is extended to cooperative networks, where asynchronism of transmissions among the source nodes and relay nodes is taken into consideration. The advantages of RAD-MUD over existing cooperative MUD schemes are verified by computer simulation.
590 $a School code: 0208.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 $a University of Southern California. $b Electrical Engineering. $3 1020963
773 0 $t Dissertation Abstracts International $g 69-06B.
790 $a 0208
790 1 0 $a Kuo, C.-C. Jay, $e advisor
790 1 0 $a Neely, Michael $e committee member
790 1 0 $a Sun, Fengzhu $e committee member
790 1 0 $a Yu, Xiaoli $e committee member
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3311149