Multipair Full-Duplex Relaying with Massive Arrays and Linear Processing

Hien Quoc Ngo, Himal A. Suraweera, Michail Matthaiou, Erik G. Larsson

Research output: Contribution to journalArticlepeer-review

307 Citations (Scopus)
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Abstract

We consider a multipair decode-and-forward relay channel, where multiple sources transmit simultaneously their signals to multiple destinations with the help of a full-duplex relay station. We assume that the relay station is equipped with massive arrays, while all sources and destinations have a single antenna. The relay station uses channel estimates obtained from received pilots and zero-forcing (ZF) or maximum-ratio combining/maximum-ratio transmission (MRC/MRT) to process the signals. To reduce significantly the loop interference effect, we propose two techniques: i) using a massive receive antenna array; or ii) using a massive transmit antenna array together with very low transmit power at the relay station. We derive an exact achievable rate in closed-form for MRC/MRT processing and an analytical approximation of the achievable rate for ZF processing. This approximation is very tight, especially for large number of relay station antennas. These closed-form expressions enable us to determine the regions where the full-duplex mode outperforms the half-duplex mode, as well as, to design an optimal power allocation scheme. This optimal power allocation scheme aims to maximize the energy efficiency for a given sum spectral efficiency and under peak power constraints at the relay station and sources. Numerical results verify the effectiveness of the optimal power allocation scheme. Furthermore, we show that, by doubling the number of transmit/receive antennas at the relay station, the transmit power of each source and of the relay station can be reduced by 1.5dB if the pilot power is equal to the signal power, and by 3dB if the pilot power is kept fixed, while maintaining a given quality-of-service.
Original languageEnglish
Pages (from-to) 1721-1737
Number of pages7
JournalIEEE Journal on Selected Areas in Communications
Volume32
Issue number9
Early online date12 Jun 2014
DOIs
Publication statusPublished - Sep 2014

Keywords

  • cs.IT
  • math.IT

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