Adaptive active constellation extension algorithm for peak-to-average ratio reduction in OFDM

  • Authors:

  • Kitaek Bae;Jeffrey G. Andrews;Edward J. Powers

  • Affiliations:

  • Dept. of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas;Dept. of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas;Dept. of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas

  • Venue:
  • IEEE Communications Letters
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

For PAR reduction in OFDM systems, the clipping-based Active Constellation Extension (ACE) technique is simple and attractive for practical implementation. However, we observe it cannot achieve the minimum PAR when the target clipping level is set below an initially unknown optimum value. To overcome this low clipping ratio problem, we propose a novel ACE algorithm with adaptive clipping control. Simulation results demonstrate that our proposed algorithm can reach the minimum PAR for severely low clipping ratios. In addition, we present the tradeoff between PAR and the loss in Eb/No over an AWGN channel in terms of the clipping ratio.