PAPR analysis and mitigation algorithms for beamforming MIMO OFDM systems

Ying Che Hung, Shang-Ho Tsai

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Beamforming (or precoding) techniques have been widely adopted in modern MIMO OFDM systems. Using beamforming can significantly improve the receive SNR of OFDM systems. However, the combination of transmit signals after beamforming deteriorates the peak-to-average power ratio (PAPR), which has long been considered a major issue of OFDM systems. High PAPR not only complicates the design of the power amplifier, but also increases power consumption. In this paper, we theoretically analyze the PAPR performance of MIMO OFDM systems that adopt either one of the two popular beamforming schemes, i.e. MRT (maximum ratio transmission) and EGT (equal gain transmission). The analysis considers different numbers of channel taps after sampling. The results may provide important reference for practical designs when evaluating the required power amplifiers and power consumption. Moreover, the theoretical results show that MRT OFDM systems generally perform much worse than EGT OFDM systems in terms of PAPR. Furthermore, motivated from the derived results, PAPR reduction algorithms are proposed for both MRT OFDM and EGT OFDM systems. It is worth to mention that for MRT OFDM systems, the proposed algorithm can improve both PAPR and bit error rate; for EGT OFDM systems, the proposed algorithm improves PAPR while it only slightly degrades bit error rate.

Original languageEnglish
Article number6776590
Pages (from-to)2588-2600
Number of pages13
JournalIEEE Transactions on Wireless Communications
Volume13
Issue number5
DOIs
StatePublished - 1 Jan 2014

Keywords

  • beamforming
  • beta distribution
  • EGT
  • equal gain transmission
  • extreme value theory
  • low power
  • maximum ratio transmission
  • MIMO OFDM
  • MRT
  • PAPR
  • peak-to-average power ratio
  • precoding

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