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    Delay-constrained achievable rate maximization in wireless relay networks with causal feedback


    Li, James C. F. and Dey, Subhrakanti (2008) Delay-constrained achievable rate maximization in wireless relay networks with causal feedback. In: 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications. IEEE, pp. 456-460. ISBN 9781424420452

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    Abstract

    Motivated by delay-sensitive information transmission applications, we propose an expected achievable rate maximization scheme with a K-block delay constraint on data transmission using a three node cooperative relay network assuming a block fading channel model. Channel information is fed back to the transmitter only in a causal fashion, so that the optimal power allocation strategy is only based on the current and past channel gains.We consider the two simplest schemes for information transmission using a three node (a source, a relay and a destination) relay network, namely the amplify and forward (AF) and decode and forward (DF) protocols. We use a dynamic programming based methodology to solve the (K-block delay constrained) expected capacity maximization problem with a short term (over K blocks) sum power (total transmission power of the source and the relay) constraint. Furthermore, two simple power allocation schemes for high and low SNR situations are proposed. Extensive numerical results are presented for Rayleigh fading channels, including results demonstrating the accuracy of the high/low SNR approximation based power allocation schemes.

    Item Type: Book Section
    Additional Information: Cite as: J. C. F. Li and S. Dey, "Delay-constrained achievable rate maximization in wireless relay networks with causal feedback," 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications, 2008, pp. 456-460, doi: 10.1109/SPAWC.2008.4641649.
    Keywords: Delay-constrained; achievable; rate; maximization; wireless; relay networks; causal feedback;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14467
    Identification Number: https://doi.org/10.1109/SPAWC.2008.4641649
    Depositing User: Subhrakanti Dey
    Date Deposited: 28 May 2021 13:42
    Publisher: IEEE
    Refereed: Yes
    URI:

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