Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (8): 1835-1840.doi: 10.3969/j.issn.1001-506X.2020.08.25

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PAPR suppression method based on convex optimization in MIMO-FBMC system

Yitao LI(), Xihong CHEN(), Dizhe YUAN(), Denghua HU()   

  1. Air and Missile Defence College, Air Force Engineering University, Xi'an 710051, China
  • Received:2019-12-26 Online:2020-07-25 Published:2020-07-27
  • Supported by:
    国家自然科学基金(61671468)

Abstract:

Filter bank multi-carrier (FBMC) is a promising modulation method of the 5G communication because of its perfect properties currently. The multiple input multiple output (MIMO) technology and FBMC is combined, which aims to improve the quality and capacity of the mobile communication. The multi-stream transmission model and conjugated data structure are established at first. The relationship among data streams, antennas numbers, and precoding matrixes is also analyzed. Then the peak-to-average power ratio (PAPR) of the system is investigated and the PAPR reduction problem is simplified with a convex optimization model. By employing the fast iterative truncation algorithm (FITRA), the convex optimization problem is solved. Simulation results demonstrate the excellent PAPR performance over the frequency selective fading channels and the appropriate BER performance.

Key words: multiple input multiple output (MIMO), filter bank multi-carrier (FBMC), multi-stream transmission, conjugate data structure, peak-to-average power ratio (PAPR), fast iterative truncation algorithm (FITRA)

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