2009
DOI: 10.1109/tcomm.2009.03.060521
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Error probability and SINR analysis of optimum combining in rician fading

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Cited by 185 publications
(123 citation statements)
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“…The outage performance of this scenario is also dominated by the pass loss of the interference sources. As can be observed from (26) and (27), the considered system under identical and independent interference scenarios has the same diversity gain, but the SINR gap between the two scenarios depend on the coding gain. This SINR gap is characterised as…”
Section: A Asymptotic Outage Probabilitymentioning
confidence: 89%
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“…The outage performance of this scenario is also dominated by the pass loss of the interference sources. As can be observed from (26) and (27), the considered system under identical and independent interference scenarios has the same diversity gain, but the SINR gap between the two scenarios depend on the coding gain. This SINR gap is characterised as…”
Section: A Asymptotic Outage Probabilitymentioning
confidence: 89%
“…According to [27], the integral can be avoided by the using approximation as in (22) Using the MGF definition M γSINR,t,k (s) = s (23) into (21) gives the expression of Pe t,k , and then using the this result in (20) for t = {M B , F B } and k = M U yields the desired final results for the average error rate performance of M U .…”
Section: B Exact Average Error Ratementioning
confidence: 99%
“…In the -link, since the line of sight (LOS) signal is much stronger than the others, which is different from terrestrial networks, the channel gain ℎ 0 of the -link is considered as a Rician fading with additive white Gaussian noise (AWGN) [37,38]. On the other hand, the channel gains Figure 1: The proposed system model of SIN return channel cooperative communications via an AF GEO HTS relaying for VN, where each node is equipped with a single antenna, the relay point ℎ 1 and ℎ 2 of satellite-terrestrial links -and -are usually modeled by Shadowed-Rician fading distribution [14-16, 24-27, 35].…”
Section: System Modelmentioning
confidence: 99%
“…Wireless Communications and Mobile Computing 7 Alternatively, the following approximation of (28) can be used [37]:…”
Section: Derivation Of Asermentioning
confidence: 99%
“…The application of the results in Sections III-V enables a unified analysis for MIMO systems, which allow the generalization for ergodic and outage capacity [6]- [8], [29], for optimum combining multiple antenna systems [26], [27], for MIMO-MMSE systems [28], for MIMO relay networks [34], [35], as well as for multiuser MIMO systems and for distributed MIMO systems, accounting arbitrary covariance matrices. For example, after the first derivation of the hypergeometric functions of matrices with non-distinct eigenvalues in [36], other applications to multiple antenna systems have appeared in [32], [37]- [40].…”
Section: Proofmentioning
confidence: 99%