Full-Duplex Massive MIMO AF Relaying With Semiblind Gain Control

This paper proposes an amplify-and-forward-based massive multiple-input-multiple-output full-duplex relaying (AF-MM-FDR) protocol, where multiple source-destination pairs communicate simultaneously with a common full-duplex relay. A zero-forcing (ZF)-based relay transceiver design with semiblind gai...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2016-07, Vol.65 (7), p.5797-5804
Main Authors: Xia, Xiaochen, Xu, Youyun, Xu, Kui, Zhang, Dongmei, Ma, Wenfeng
Format: Article
Language:English
Subjects:
Amplification
Antenna arrays
Asymptotic analysis
Asymptotic properties
Channel estimation
Channels
Control systems
full-duplex relaying (FDR)
Gain
Gain control
Interference
massive multiple input
MIMO
multiple output (MIMO)
Power control
Relay
Relaying
Relays
Spectra
Transceivers
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Summary:This paper proposes an amplify-and-forward-based massive multiple-input-multiple-output full-duplex relaying (AF-MM-FDR) protocol, where multiple source-destination pairs communicate simultaneously with a common full-duplex relay. A zero-forcing (ZF)-based relay transceiver design with semiblind gain control is presented, considering the problem of relay oscillation. The asymptotic expression of end-to-end signal-to-interference-plus-noise power (SINR) is derived under the general power scaling scheme. The scaling behaviors of echo interference (EI) and effective channel estimation error are determined. Scaling results show that the deployment of very large antenna arrays at the relay has the potential to eliminate the effect of EI due to the full-duplex operation, if the power scaling scheme is selected properly. Moreover, based on the asymptotic analysis, a low-complexity power control scheme is proposed to optimize the spectral efficiency of AF-MM-FDR. Simulation results show that the proposed power control scheme improves the spectral-energy efficiency tradeoff of AF-MM-FDR significantly.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2015.2467211