Distortion Exponents for Multi-Relay Cooperative Networks with Limited Feedback

Wireless Communications and Networking Conference(2010)

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摘要
In this paper, we study the transmission of a Gaussian signal in a multi-relay cooperative system, where each relay is half-duplex and employs the amplify-and-forward (AF) relaying protocol. We focus on the analysis of the distortion exponent that characterizes the high signal-to-noise ratio (SNR) behavior of the end-to-end distortion of the received signal. Specifically, we investigate the feedback scheme where the limited channel state feedback is combined with separate source and channel coding to help the transmission. The feedback scheme is followed by three AF-based multi-relay cooperation protocols, respectively, namely the orthogonal AF protocol, the nonorthogonal AF protocol, and the slotted AF protocol. We derive the optimal distortion exponents of all three cases, and illustrate the effect of the feedback resolution, bandwidth ratio, and number of relays on the optimal distortion exponent. It is shown that the feedback scheme outperforms the best known non-feedback strategies for multi-relay cooperative systems with only a few bits of feedback information.
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关键词
limited channel-state feedback,distortion exponents,orthogonal amplify-and-forward protocol,protocols,relays,gaussian processes,gaussian signal,gaussian source transmission,channel state feedback,mimo communication,channel coding,distortion exponent,multirelay cooperative network,slotted amplify-and-forward protocol,cooperation strategy,nonfeedback strategy,decode-and-forward protocols,limited feedback,radio networks,cooperative communications,source coding,nonorthogonal amplify-and-forward protocol,diversity-multiplexing tradeoff (dmt),nonorthogonal af-df protocols,multirelay cooperative networks,amplify-and-forward protocols,feedback resolution,amplify-and-forward relaying protocol,relay channel,signal-to-noise ratio,limited channel state feedback,indexes,bandwidth,upper bound,multiplexing,signal to noise ratio
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