Title:
Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection

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dc.contributor.advisor Altunbasak, Yucel
dc.contributor.author Bahceci, Israfil en_US
dc.contributor.committeeMember Fekri, Faramarz
dc.contributor.committeeMember Huo, Xiaoming
dc.contributor.committeeMember Mersereau, Russell M.
dc.contributor.committeeMember Smith, Glenn
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2006-01-18T22:14:49Z
dc.date.available 2006-01-18T22:14:49Z
dc.date.issued 2005-08-26 en_US
dc.description.abstract This dissertation studies a number of important issues that arise in multiple-input multiple-out wireless systems. First, wireless systems equipped with multiple-transmit multiple-receive antennas are considered where an energy-based antenna selection is performed at the receiver. Three different situations are considered: (i) selection over iid MIMO fading channel, (ii) selection over spatially correlated fading channel, and (iii) selection for space-time coded OFDM systems. In all cases, explicit upper bounds are derived and it is shown that using the proposed antenna selection, one can achieve the same diversity order as that attained by full-complexity MIMO systems. Next, joint source-channel coding problem for MIMO antenna systems is studied and a turbo-coded multiple description code for multiple antenna transmission is developed. Simulations indicate that by the proposed iterative joint source-channel decoding that exchanges the extrinsic information between the source code and the channel code, one can achieve better reconstruction quality than that can be achieved by the single-description codes at the same rate. The rest of the dissertation deals with wireless networks. Two problems are studied: channel coding for cooperative diversity in wireless networks, and distributed detection in wireless sensor networks. First, a turbo-code based channel code for three-terminal full-duplex wireless relay channels is proposed where both the source and the relay nodes employ turbo codes. An iterative turbo decoding algorithm exploiting the information arriving from both the source and relay nodes is proposed. Simulation results show that the proposed scheme can perform very close to the capacity of a wireless relay channel. Next the parallel and serial binary distributed detection problem in wireless sensor networks is investigated. Detection strategies based on single-bit and multiple-bit decisions are considered. The expressions for the detection and false alarm rates are derived and used for designing the optimal detection rules at all sensor nodes. Also, an analog approach to the distributed detection in wireless sensor networks is proposed where each sensor nodes simply amplifies-and-forwards its sufficient statistics to the fusion center. This method requires very simple processing at the local sensor. Numerical examples indicate that the analog approach is superior to the digital approach in many cases. en_US
dc.description.degree Ph.D. en_US
dc.format.extent 1260710 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/7480
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject MIMO systems en_US
dc.subject Multiple description codes
dc.subject Performance bounds
dc.subject Antenna selection
dc.subject Relay channel
dc.subject Turbo codes
dc.subject Distributed detection
dc.subject Wireless networks
dc.subject Sensor networks
dc.title Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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