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

Xiaoxin Wang (), Zhipeng Jiang (), Wenguo Yang and Suixiang Gao
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Xiaoxin Wang: University of Chinese Academy of Sciences
Zhipeng Jiang: University of Chinese Academy of Sciences
Wenguo Yang: University of Chinese Academy of Sciences
Suixiang Gao: University of Chinese Academy of Sciences

Journal of Combinatorial Optimization, 2022, vol. 44, issue 4, No 49, 3136-3152

Abstract: 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.

Keywords: Full-duplex wireless; Phased array optimization; Iterative algorithm; Non-convex optimization; Complex number optimization. (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10878-022-00854-1

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