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Beamforming Based Full-Duplex for Millimeter-Wave Communication

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2016 Jul 26
PMID 27455256
Citations 3
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Abstract

In this paper, we study beamforming based full-duplex (FD) systems in millimeter-wave (mmWave) communications. A joint transmission and reception (Tx/Rx) beamforming problem is formulated to maximize the achievable rate by mitigating self-interference (SI). Since the optimal solution is difficult to find due to the non-convexity of the objective function, suboptimal schemes are proposed in this paper. A low-complexity algorithm, which iteratively maximizes signal power while suppressing SI, is proposed and its convergence is proven. Moreover, two closed-form solutions, which do not require iterations, are also derived under minimum-mean-square-error (MMSE), zero-forcing (ZF), and maximum-ratio transmission (MRT) criteria. Performance evaluations show that the proposed iterative scheme converges fast (within only two iterations on average) and approaches an upper-bound performance, while the two closed-form solutions also achieve appealing performances, although there are noticeable differences from the upper bound depending on channel conditions. Interestingly, these three schemes show different robustness against the geometry of Tx/Rx antenna arrays and channel estimation errors.

Citing Articles

Hybrid Beamforming Design for Self-Interference Cancellation in Full-Duplex Millimeter-Wave MIMO Systems with Dynamic Subarrays.

Wang G, Yang Z, Gong T Entropy (Basel). 2022; 24(11).

PMID: 36421542 PMC: 9689759. DOI: 10.3390/e24111687.


Self-Interference Channel Training for Full-Duplex Massive MIMO Systems.

Kim T, Min K, Park S Sensors (Basel). 2021; 21(9).

PMID: 34067209 PMC: 8125867. DOI: 10.3390/s21093250.


Worst-Case Energy Efficiency Maximization in a 5G Massive MIMO-NOMA System.

Chinnadurai S, Selvaprabhu P, Jeong Y, Jiang X, Lee M Sensors (Basel). 2017; 17(9).

PMID: 28927019 PMC: 5621025. DOI: 10.3390/s17092139.