Beamforming design in multiple-input-multiple-output symbiotic radio backscatter systems

Impact Factor:3.553

DOI number:10.1109/LCOMM.2021.3060468

Journal:IEEE Communications Letters

Abstract: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.

Co-author:jmiao,李全忠,秦家银

First Author:吴拓

Indexed by:Journal paper

Correspondence Author:张旗

Discipline:Engineering

First-Level Discipline:Information and Communication Engineering

Document Type:J

Volume:25

Issue:6

Page Number:1949—1953

ISSN No.:1558-2558

Translation or Not:no

Date of Publication:2021-06-01

Included Journals:SCI

Links to published journals:https://ieeexplore.ieee.org/abstract/document/9358202