Superposition coded modulation and iterative linear MMSE detection

  • Authors:
  • Li Ping;Jun Tong;Xiaojun Yuan;Qinghua Guo

  • Affiliations:
  • Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong;Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong;Department of Electronic Engineering, University of Hawaii at Manoa, Honolulu, HI;School of Electrical, Electronic and Computer Engineering, The University of Western Australia, WA, Australia

  • Venue:
  • IEEE Journal on Selected Areas in Communications - Special issue on capaciyy approaching codes
  • Year:
  • 2009

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Abstract

We study superposition coded modulation (SCM) with iterative linear minimum-mean-square-error (LMMSE) detection. We show that SCM offers an attractive solution for highly complicated transmission environments with severe interference. We analyze the impact of signaling schemes on the performance of iterative LMMSE detection. We prove that among all possible signaling methods, SCM maximizes the output signal-to-noise/interference ratio (SNIR) in the LMMSE estimates during iterative detection. Numerical examples are used to demonstrate that SCM outperforms other signaling methods when iterative LMMSE detection is applied to multi-user/multi-antenna/multi-path channels.