JOURNAL ARTICLE

Optimal low-complexity self-interference cancellation for full-duplex MIMO small cells

Abstract

Self-interference (SI) significantly limits the performance of full-duplex (FD) radio devices if not properly cancelled. State-of-the-art SI cancellation (SIC) techniques at the receive chain implicitly set an upper bound on the transmit power of the device. This paper starts from this observation and proposes a transmit beamforming design for FD multiple-antenna radios that: i) leverages the inherent SIC capabilities at the receiver and the channel state information; and ii) exploits the potential of multiple antennas in terms of spatial SIC. The proposed solution not only maximizes the throughput while complying with the SIC requirements of the FD device, but also enjoys a very low complexity that allows it to outperform state-of-the-art counterparts in terms of processing time and power requirements. Numerical results show that our transmit beamforming design achieves significant gains with respect to applying zero-forcing to the SI channel when the number of transmit antennas is small to moderate, which makes it particularly appealing for FD small-cell base stations.

Keywords:
Beamforming MIMO Single antenna interference cancellation Computer science Precoding Transmitter power output Channel state information Base station Interference (communication) Electronic engineering Channel (broadcasting) Duplex (building) Upper and lower bounds Antenna (radio) Throughput Computational complexity theory Power (physics) Telecommunications Wireless Algorithm Engineering Transmitter Mathematics Physics

Metrics

8
Cited By
0.80
FWCI (Field Weighted Citation Impact)
21
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Full-Duplex Wireless Communications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Antenna Design and Analysis
Physical Sciences →  Engineering →  Aerospace Engineering
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