Title | ||
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Error Rate Bounds for Equal-Gain Combining over Arbitrarily Correlated Rician Channels. |
Abstract | ||
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Exact error rate expressions for equal-gain combining over arbitrarily correlated Rician channels involve intractable integrals. Thus, asymptotic error rate expression was derived to provide accurate approximation in large signal-to-noise ratio region. However, the existing asymptotic analysis cannot evaluate the accuracy of the asymptotic error rate expression for equal-gain combining. In this work, we derive closed-form and asymptotically tight upper and lower bounds for the error rate of equal-gain combining over Rician fading channels with arbitrary correlation. These bounds can be used to evaluate the accuracy of the asymptotic error rate expression for equal-gain combining at high signal-to-noise ratio without using the time-consuming Monte Carlo simulation. |
Year | DOI | Venue |
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2015 | 10.1109/GLOCOM.2015.7417197 | IEEE Global Communications Conference |
Field | DocType | ISSN |
Applied mathematics,Combinatorics,Monte Carlo method,Expression (mathematics),Upper and lower bounds,Word error rate,Signal-to-noise ratio,Real-time computing,Asymptotic analysis,Mathematics,Bit error rate,Rician fading | Conference | 2334-0983 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bingcheng Zhu | 1 | 13 | 2.69 |
Julian Cheng | 2 | 1409 | 145.12 |
Naofal Al-Dhahir | 3 | 2755 | 319.65 |
Lenan Wu | 4 | 700 | 62.18 |