A Novel Wireless Communication Paradigm for Intelligent Reflecting Surface Based Symbiotic Radio Systems

This paper investigates a novel intelligent reflecting surface (IRS)-based symbiotic radio (SR) system architecture consisting of a transmitter, an IRS, and an information receiver (IR). The primary transmitter communicates with the IR and at the same time assists the IRS in forwarding information t...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on signal processing 2022, Vol.70, p.550-565
Main Authors: Hua, Meng, Wu, Qingqing, Yang, Luxi, Schober, Robert, Poor, H. Vincent
Format: Article
Language:English
Subjects:
Algorithms
Approximation
Array signal processing
Beamforming
Bit error rate
Computational geometry
Computer architecture
Convexity
difference of convex optimization
Intelligent reflecting surface (IRS)
Majorization-Minimization
Mathematical programming
Optimization
passive beamforming
phase shift optimization
Radio transmitters
Receivers
Reconfigurable intelligent surfaces
Relays
Symbiosis
symbiotic radio
Wireless communications
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper investigates a novel intelligent reflecting surface (IRS)-based symbiotic radio (SR) system architecture consisting of a transmitter, an IRS, and an information receiver (IR). The primary transmitter communicates with the IR and at the same time assists the IRS in forwarding information to the IR. Based on the IRS's symbol period, we distinguish two scenarios, namely, commensal SR (CSR) and parasitic SR (PSR), where two different techniques for decoding the IRS signals at the IR are employed. We formulate bit error rate (BER) minimization problems for both scenarios by jointly optimizing the active beamformer at the base station and the phase shifts at the IRS, subject to a minimum primary rate requirement. Specifically, for the CSR scenario, a penalty-based algorithm is proposed to obtain a high-quality solution, where semi-closed-form solutions for the active beamformer and the IRS phase shifts are derived based on Lagrange duality and Majorization-Minimization methods, respectively. For the PSR scenario, we apply a bisection search-based method, successive convex approximation, and difference of convex programming to develop a computationally efficient algorithm, which converges to a locally optimal solution. Simulation results demonstrate the effectiveness of the proposed algorithms and show that the proposed SR techniques are able to achieve a lower BER than benchmark schemes.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2021.3135603