Reconfigurable Intelligent Surface Empowered Symbiotic Radio Over Broadcasting Signals

Symbiotic radio (SR) is a promising technology for energy- and spectrum-efficient wireless communication, which exploits passive communication for Internet-of-Things (IoT) transmission and achieves a mutualistic spectrum sharing between the passive and active transmissions. In this paper, we study a...

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Bibliographic Details
Published in:IEEE transactions on communications Vol. 69; no. 10; pp. 7003 - 7016
Main Authors: Xu, Xinyue, Liang, Ying-Chang, Yang, Gang, Zhao, Lian
Format: Journal Article
Language:English
Published: New York IEEE 01.10.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Array signal processing
Backscatter
Beamforming
Broadcasting
Complexity
Internet of Things
iterative algorithm
Iterative algorithms
Iterative methods
joint active and passive beamforming
low complexity
Optimization
Precoding
Radio broadcasting
Radio equipment
Radio signals
Receivers
Reconfigurable intelligent surface
Reconfigurable intelligent surfaces
Signal to noise ratio
Software radio
symbiotic radio
Wireless communications
ISSN:0090-6778, 1558-0857
Online Access:Get full text
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Summary:Symbiotic radio (SR) is a promising technology for energy- and spectrum-efficient wireless communication, which exploits passive communication for Internet-of-Things (IoT) transmission and achieves a mutualistic spectrum sharing between the passive and active transmissions. In this paper, we study an reconfigurable intelligent surface (RIS) empowered symbiotic radio over a broadcasting system, i.e., a base station (BS) broadcasts signals to multiple primary receivers (PRs) under the assistance of an RIS, while the RIS also transmits information to an IoT receiver (IR) by riding over the broadcasting signals. We formulate a problem to minimize the BS's transmit power by jointly optimizing the BS's active precoding and the RIS's passive beamforming, under the signal-to-noise-ratio constraints of the primary and IoT transmissions. However, the problem is challenging to be solved optimally, since the variables are coupled and the constraints are non-convex. An iterative algorithm based on block coordinated descent (BCD) and semidefinite relaxation (SDR) techniques is first proposed, and its convergence together with complexity are analyzed. Then, to tackle the problem of high computational complexity caused by SDR technique, we further propose an alternative algorithm based on generalized power method (GPM) technique. Simulation results validate that the proposed system outperforms the traditional broadcasting system without RIS. The GPM-based algorithm achieves nearly the same transmit power performance as SDR-based algorithm, with a significantly reduced computational complexity.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2021.3096933