影响因子：3.553

DOI码：10.1109/LCOMM.2021.3060468

发表刊物：IEEE Communications Letters

摘要：Symbiotic radio (SR) backscatter is a possible low-power wireless communication technique for future Internet of Things devices. In this letter, a multiple-input-multiple-output (MIMO) SR backscatter system is proposed, where the secondary multi-antenna transmission from the backscatter device (BD) to the receiver is riding on the primary multi-antenna transmission from the transmitter to the receiver. We investigate the beamforming design optimization problem which maximizes the sum capacity of primary and secondary transmissions under the capacity constraint of secondary transmission. In the MIMO SR backscatter system, each antenna of the SR BD reflects its received ambient radio frequency signals from all the transmitting antennas of the transmitter, which causes that the globally optimal solution is difficult to obtain. Here, we derive an algorithm to obtain the capacity upper bound. Furthermore, considering both primary and secondary transmissions, we propose an exact penalty method based locally optimal solution. Simulation results display that the proposed exact penalty method based locally optimal solution achieves the sum capacity which is close to the upper bound.

合写作者：姜淼,李全忠,秦家银

第一作者：吴拓

论文类型：期刊论文

通讯作者：张旗

学科门类：工学

一级学科：信息与通信工程

文献类型：J

卷号：25

期号：6

页面范围：1949—1953

ISSN号：1558-2558

是否译文：否

发表时间：2021-06-01

收录刊物：SCI

发布期刊链接：https://ieeexplore.ieee.org/abstract/document/9358202