文献类型：期刊文献

英文题名：Beamforming design for multi-antenna multi-tag symbiotic radio backscatter systems

作者：Fang, Zhaoxi[1,2];Li, Qi[1,2];Liu, Jianhua[1];Zhou, Jing[1];Shen, Shigen[3]

机构：[1]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Peoples R China;[2]Shaoxing Univ, Inst Artificial Intelligence, Shaoxing 312000, Peoples R China;[3]Huzhou Univ, Sch Informat Engn, Huzhou 313000, Peoples R China

年份：2023

卷号：170

外文期刊名：AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS

收录：SCI-EXPANDED(收录号：WOS:001053514100001)、、EI(收录号：20233014449234)、Scopus(收录号：2-s2.0-85165706479)、WOS

基金：This work was supported in part by the Zhejiang Provincial Basic Public Welfare Research Project under grant no. LGF22F010006 and LGG22F010004, the Humanities and Social Science Research Project of Ministry of Education of China under grant no. 22YJAZH016, the Natural Science Foundation of Zhejiang Province, China under Grant No. LY22F020003, the National Natural Science Foundation of China under Grant No. 62002226, the Project funded by China Postdoc-toral Science Foundation under Grant No. 2022M711715, and the Zhejiang Provincial Natural Science Foundation of China under Grant LZ22F020002.

语种：英文

外文关键词：Beamforming; Backscatter communications; Energy harvesting; Semi-definite programming

外文摘要：In this paper, we consider a multi-tag symbiotic radio backscatter system, where a multi-antenna source node transmits its own message to a multi-antenna destination, while multiple backscatter tags transmit information to the destination by directly reflecting the incident signals from the source. We investigate the optimal beamforming design to minimize the transmit power at the source, subject to the signal-to-interference-plus -noise ratio (SINR) constraints for the signals of the source and the tags, and the harvested power constraints at the tags. The formulated min-power optimization problem is non-convex, and we propose a semi-definite programming (SDP) based alternating optimization algorithm to optimize the transmit beamforming vector at the source and the receive beamforming vector at the destination. Numerical results show that the proposed beamforming design algorithm converges fast and outperforms the counterpart scheme significantly.