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Erschienen in: Journal of Combinatorial Optimization 4/2022

01.04.2022

The optimization of self-interference in wideband full-duplex phased array with joint transmit and receive beamforming

verfasst von: Xiaoxin Wang, Zhipeng Jiang, Wenguo Yang, Suixiang Gao

Erschienen in: Journal of Combinatorial Optimization | Ausgabe 4/2022

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Abstract

Full-duplex (FD) wireless and phased arrays are both promising techniques that can significantly improve data rates in future wireless networks. However, integrating FD with transmit (Tx) and receive (Rx) phased arrays is extremely challenging, due to the large number of self-interference (SI) channels. In this paper, a model is proposed to minimize the self-interference without large TxBF and RxBF gain losses through optimizing the TxBF and RxBF weights. As the model involves complex numbers and is non-convex, an iterative algorithm by solving series convex model is given to obtain an approximate solution. Meanwhile, in each step of the iterative algorithm, the sub model is translated into real number model. Then in order to balance the Tx and Rx gains, a penalty term is added into the sub model of each step of the iterative algorithm. Simulation results show that, the iterative algorithm is effective and can get good results, and the penalty term can both minimize the SI and make two gains balance.

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Metadaten
Titel
The optimization of self-interference in wideband full-duplex phased array with joint transmit and receive beamforming
verfasst von
Xiaoxin Wang
Zhipeng Jiang
Wenguo Yang
Suixiang Gao
Publikationsdatum
01.04.2022
Verlag
Springer US
Erschienen in
Journal of Combinatorial Optimization / Ausgabe 4/2022
Print ISSN: 1382-6905
Elektronische ISSN: 1573-2886
DOI
https://doi.org/10.1007/s10878-022-00854-1

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