On convexity of MQAM's and MPAM's bit error probability functions

  • Authors:
  • M. Naeem;Daniel C. Lee

  • Affiliations:
  • School of Engineering Science at Simon Fraser University, Burnaby, BC, Canada V5A 1S6;School of Engineering Science at Simon Fraser University, Burnaby, BC, Canada V5A 1S6

  • Venue:
  • International Journal of Communication Systems
  • Year:
  • 2009

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Abstract

For MQAM and MPAM with practical values of M and Gray mapping, we provide a rigorous proof that the associated bit error probability (BEP) functions are convex of the signal-to-noise ratio per symbol. The proof employs Taylor series expansions of the BEP functions' second derivatives and term-by-term comparisons between positive and negative terms. Convexity results are useful for optimizing communication systems as in optimizing adaptive transmission policies. Copyright © 2009 John Wiley & Sons, Ltd. For MQAM and MPAM with practical values of M and Gray mapping, we provide a rigorous proof that the associated bit error probability (BEP) functions are convex of the SNR per symbol. The proof employs Taylor series expansions of the BEP functions' second derivatives and term-by-term comparisons between positive and negative terms. Convexity results are useful for optimizing communication systems as in optimizing adaptive transmission policies. Copyright © 2009 John Wiley & Sons, Ltd.