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Space-Time Coding over Fading Channels with Stable Noise

Space-Time Coding over Fading Channels with Stable Noise,10.1109/SPAWC.2011.5990438,IEEE Transactions on Vehicular Technology,Junghoon Lee,Cihan Teped

Space-Time Coding over Fading Channels with Stable Noise   (Citations: 1)
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This paper addresses the performance of space-time coding over fading channels with impulsive noise which is known to accurately capture network interference. We use the symmetric alpha stable noise distribution and adopt two models which assume dependent and independent noise components across receive antennas. We derive pairwise error probability (PEP) of orthogonal space-time block codes (STBC) with a benchmark genie-aided receiver (GAR), or the minimum distance receiver (MDR) which is optimal in the Gaussian case. For general space-time codes we propose a maximum-likelihood (ML) receiver, and its approximation at high signal-to-noise ratio (SNR). The resulting asymptotically optimal receiver (AOR) does not depend on noise parameters and is computationally simple. Monte-Carlo simulations are used to supplement our analytical results and compare the performance of the receivers.
Journal: IEEE Transactions on Vehicular Technology - IEEE TRANS VEH TECHNOL , vol. abs/1102.3, no. 7, pp. 396-400, 2011
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    • ...Substituting in (11), using the statistical independence of Ai, and taking expectation, we get the PEP for GAR in (12) at the top of the next page. The detail proof can be found in [10]...
    • ...across antennas in Model I. The coding gain, GGAR(Nt, Nr, α), in (12) is monotonically decreasing function of Nt and increasing function of Nr. The details of coding gain analysis are in [10]...
    • ...Taking expectation with respect to Amax, one can show the PEP for MDR that, as ρ → ∞ to be [10]:...
    • ...In (19), GMDR(Nt, Nr, α) monotonically increases with Nr. With respect to Nt, the behavior of the coding gain is monotonically increasing, decreasing or concave depending on the value of α [10]...

    Junghoon Leeet al. Space-Time Coding over Fading Channels with Stable Noise

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