Resource type
Thesis type
(Thesis) Ph.D.
Date created
2010-05-04
Authors/Contributors
Author: Wang, Jing
Abstract
In this thesis, we study the problem of cooperation and joint source-channel transmission in wireless networks, with an emphasis on some fundamental information-theoretic aspects. The majority of this thesis focuses on the analysis of fundamental performance limitations of joint source-channel transmission in wireless cooperative networks. We made three major contributions in this topic. The first contribution is a study on the end-to-end distortion of joint source-channel transmission in multi-relay cooperative systems, in terms of the distortion exponent at high signal-to-noise ratio (SNR). Building upon results from the diversity-multiplexing tradeoff (DMT) analysis, the achievable distortion exponents of multi-relay cooperative systems with layered coding and transmission strategies are obtained. We next propose to improve the achievable distortion exponent by employing limited channel state feedback in the multiple-relay system. We show that combining a simple feedback scheme with single-rate coding outperforms the best known non-feedback layered transmission strategies with only a few bits of feedback information. The third part focuses on the recently proposed two-way relaying cooperative networks, where two users communicate in both directions with the help of one relay. We introduce and analyze a new concept - achievable distortion exponent region, which characterizes the end-to-end distortions of both users and addresses the multiuser nature of the two-way communication system. In addition, we extend the DMT analysis to two-way relaying cooperative networks and obtain the DMT regions of various bidirectional cooperation protocols. This thesis also investigates the cross-layer resource allocation in wireless systems. We consider transmitting a layer-coded source over a slow fading channel using the broadcast strategy, where the channel state information is not available at the transmitter. An efficient iterative algorithm is proposed to minimize the end-to-end distortion by jointly solving the power allocation problem and the channel discretization problem at an arbitrary SNR.
Document
Identifier
etd6027
Copyright statement
Copyright is held by the author.
Scholarly level
Supervisor or Senior Supervisor
Thesis advisor: Liang, Jie
Member of collection
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etd6027_JWang.pdf | 1.36 MB |