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Power allocation algorithm for a cooperative MIMO system based on minimum energy consumption

  • Harbin Institute of Technology
  • Harbin University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The power allocation for a decode-and-forward cooperative multiple input multiple output (MIMO) system was investigated. According to bit error rate analysis and energy gain performance, an optimal power allocation algorithm, which is based on the golden section iterative method, and two simplified allocation algorithms were proposed to minimize the total transmition power of the source and relay nodes on the premise of satisfying a certain bit error rate. Quasi-static, flat fading channels were considered and power was allocated according to instantaneous channel state information. Theoretical analysis and computerized simulation show that the optimal power allocation algorithm based on the golden section iterative method can obtain a high-accuracy optimal solution with little iteration; the two simplified algorithms' energy gain performances are close to the optimal power allocation algorithm, and their complexity is reduced greatly.

Original languageEnglish
Pages (from-to)371-376
Number of pages6
JournalHarbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University
Volume33
Issue number3
DOIs
StatePublished - Mar 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Channel state information
  • Cooperative MIMO
  • Decode-and-forward
  • Energy gain
  • Minimum energy consumption
  • Power allocation

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