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On joint source-channel decoding and interference cancellation in CDMA-based large-scale wireless sensor networks

Motivated by potential applications in wireless sensor networks, this thesis considers the problem of communicating a large number of correlated analog sources over a Gaussian multiple-access channel using non-orthogonal code-division multiple-access (CDMA). A joint source-channel decoder is presented which can exploit the inter-source correlation for interference reduction in the CDMA channel. This decoder uses a linear minimum mean square error (MMSE) multi-user detector (MUD) in tandem with a MMSE joint source decoder (JSD) for multiple sources to achieve a computational complexity that scales with the number of sources. The MUD and the JSD, then iteratively exchange extrinsic information to improve the interference cancellation. Experimental results show that, compared to a non-iterative decoder, the proposed iterative decoder is more robust against potential performance degradation due to correlated channel interference and offers better near far resistance.

Identiferoai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/22019
Date26 May 2013
CreatorsIllangakoon, Chathura
ContributorsYahampath, Pradeepa (Electrical and Computer Engineering), Hossain, Ekram (Electrical and Computer Engineering) Irani, Pourang (Computer Science)
PublisherIEEE
Source SetsUniversity of Manitoba Canada
Detected LanguageEnglish

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