| Paper: | SPCOM-P13.11 | ||
| Session: | DMT and xDSL | ||
| Time: | Friday, May 21, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communications: Multi-Carrier, OFDM, and DMT Systems | ||
| Title: | ASYMPTOTIC DISTRIBUTIONS AND PEAK POWER ANALYSIS FOR UPLINK OFDMA SIGNALS | ||
| Authors: | Hao Wang; Syracuse University | ||
| Biao Chen; Syracuse University | |||
| Abstract: | Statistical characterization of complex baseband signals for multicarrier multiuser systems is studied in this paper. In particular, we derive rigorously the asymptotic distribution of uplink Orthogonal Frequency Division Multiple Access (OFDMA)baseband signals for different subcarrier allocation schemes. This allows us to establish some useful statistical properties of the power process of the corresponding baseband signals. We show that in most scenarios, the power process converge to a $\chi^2$ process. This result allows us to characterize the peak to average power ratio (PAPR) for OFDMA signal, a parameter considered critical to real system implementation. Specifically, we are able to compare, both qualitatively and quantitatively, the PAPR for different subcarrier allocation schemes. We show first that the contiguous subcarrier allocation and equally spaced interleaving share identical PAPR. Further, we show that random interleaving, which is implemented in existing OFDMA standards, has a larger PAPR than that of equally spaced interleaving scheme. The complementary cumulative distribution function of PAPR for random interleaving is shown to be greater than that of equally spaced interleaving by a factor that is identical to the number of users in the OFDMA system. | ||
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