Abstract
This paper provides numerical results for proving the performance gain afforded by signal space diversity (SSD). First, we derive the exact distribution of Bernoulli- $\chi^{2}$ product random variables in order to obtain the average bit error rate (BER). Then, to attain the asymptotic error floor of the average BER, the Chernoff upper bound and the moment generating function of the Bernoulli- $\chi^{2}$ distribution are adopted. As a consequence, we confirm the accuracy of our analysis by simulations, and prove that BER without SSD converges to $p/2$ , whereas when SSD is used, it converges to $p^{2}/2$ regardless of the modulation type and order when the erasure probability is equal to $p$ over both Rayleigh and Rician fading channels.
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