Performance analysis of energy-detection-based massive SIMO

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Marwan Hammouda
  • Sami Akin
  • Jürgen Peissig
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Details

Original languageEnglish
Title of host publication2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages152-156
Number of pages5
ISBN (electronic)9781479985050
Publication statusPublished - 10 Aug 2015
Event3rd IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015 - Constanta, Romania
Duration: 18 May 201521 May 2015

Publication series

Name2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015

Abstract

Recently, communications systems that are both energy efficient and reliable are under investigation. In this paper, we concentrate on an energy-detection-based transmission scheme where a communication scenario between a transmitter with one antenna and a receiver with significantly many antennas is considered. We assume that the receiver initially calculates the average energy across all antennas, and then decodes the transmitted data by exploiting the average energy level. Then, we calculate the average symbol error probability by means of a maximum a-posteriori probability detector at the receiver. Following that, we provide the optimal decision regions. Furthermore, we develop an iterative algorithm that reaches the optimal constellation diagram under a given average transmit power constraint. Through numerical analysis, we explore the system performance.

Keywords

    energy-detection-based transmission, map detector, Massive MIMO, power allocation

ASJC Scopus subject areas

Cite this

Performance analysis of energy-detection-based massive SIMO. / Hammouda, Marwan; Akin, Sami; Peissig, Jürgen.
2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 152-156 7185105 (2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Hammouda, M, Akin, S & Peissig, J 2015, Performance analysis of energy-detection-based massive SIMO. in 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015., 7185105, 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015, Institute of Electrical and Electronics Engineers Inc., pp. 152-156, 3rd IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015, Constanta, Romania, 18 May 2015. https://doi.org/10.1109/BlackSeaCom.2015.7185105
Hammouda, M., Akin, S., & Peissig, J. (2015). Performance analysis of energy-detection-based massive SIMO. In 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015 (pp. 152-156). Article 7185105 (2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BlackSeaCom.2015.7185105
Hammouda M, Akin S, Peissig J. Performance analysis of energy-detection-based massive SIMO. In 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 152-156. 7185105. (2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015). doi: 10.1109/BlackSeaCom.2015.7185105
Hammouda, Marwan ; Akin, Sami ; Peissig, Jürgen. / Performance analysis of energy-detection-based massive SIMO. 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 152-156 (2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015).
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