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      Towards the Optimal Amplify-and-Forward Cooperative Diversity Scheme

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          Abstract

          In a slow fading channel, how to find a cooperative diversity scheme that achieves the transmit diversity bound is still an open problem. In fact, all previously proposed amplify-and-forward (AF) and decode-and-forward (DF) schemes do not improve with the number of relays in terms of the diversity multiplexing tradeoff (DMT) for multiplexing gains r higher than 0.5. In this work, we study the class of slotted amplify-and-forward (SAF) schemes. We first establish an upper bound on the DMT for any SAF scheme with an arbitrary number of relays N and number of slots M. Then, we propose a sequential SAF scheme that can exploit the potential diversity gain in the high multiplexing gain regime. More precisely, in certain conditions, the sequential SAF scheme achieves the proposed DMT upper bound which tends to the transmit diversity bound when M goes to infinity. In particular, for the two-relay case, the three-slot sequential SAF scheme achieves the proposed upper bound and outperforms the two-relay non-orthorgonal amplify-and-forward (NAF) scheme of Azarian et al. for multiplexing gains r < 2/3. Numerical results reveal a significant gain of our scheme over the previously proposed AF schemes, especially in high spectral efficiency and large network size regime.

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          Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage Behavior

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            Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels

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              User cooperation diversity-part I: system description

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                Author and article information

                Journal
                2006-03-30
                2006-11-30
                Article
                cs/0603123
                b3ef7ffe-b2b9-45f9-8b28-2f6d44fff260
                History
                Custom metadata
                30 pages, 11 figures, submitted to IEEE trans. IT, revised version
                cs.IT math.IT

                Numerical methods,Information systems & theory
                Numerical methods, Information systems & theory

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