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About the paper

This is a code package for the paper: R. Liu, M. Li, Q. Liu, A. L. Swindlehurst, and Q. Wu,“Intelligent reflecting surface based passive information transmission: A symbol-level precoding approach,” IEEE Trans. Veh. Technol., vol. 70, no. 7, pp. 6735-6749, Jul. 2021.

@ARTICLE{9435988, author={Liu, Rang and Li, Ming and Liu, Qian and Swindlehurst, A. Lee and Wu, Qingqing}, journal={IEEE Transactions on Vehicular Technology}, title={Intelligent Reflecting Surface Based Passive Information Transmission: A Symbol-Level Precoding Approach}, year={2021}, volume={70}, number={7}, pages={6735-6749}, keywords={Information processing;Precoding;Radio transmitters;Receivers;Radio frequency;Generators;Quality of service;Intelligent reflecting surface (IRS);symbol-level precoding;passive information transmission;passive beamforming}, doi={10.1109/TVT.2021.3081773}}

  • If you use this simulation code package in any way, please cite the original paper above.
  • All codes are contributed by Rang Liu (email: rangl2@uci.edu; website: https://rangliu0706.github.io/). Please feel free to contact with her if you have any suggestions.
  • The link of this paper is: https://ieeexplore.ieee.org/document/9435988
  • More information can be found at: https://www.minglabdut.com/resource.html
  • Copyright Notice: This code is licensed for personal, non-commercial use only, specifically for academic purposes. Copyright reserved by the MingLab (led by Prof. Ming Li), School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China.

Software platform

  • Please note that the MATLAB2022b is used for this simulation code package, and there may be some imcompatibility problems among different sofrware versions.
  • To run those codes, please download and install CVX & Manopt

Content of this simulation code package

  • The folder "PIT" is for the passive information transmission system in Sec. II. The file "main_alpha_P" is used to obtain Figs. 4 and 5.
  • The folder "JPRIT_PM" is for the joint passive reflection and information transmission system in Sec. III. The power minimization problem is considered. The files "main_iteration", "main_alpha_power", and "main_beta_power" are used to obtain Figs. 6-8, respectively.
  • The folder "JPRIT_QoS" is for the joint passive reflection and information transmission system in Sec. III. The QoS balancing problem is considered. The files "main_iteration", "main_SER_power", and "main_SER_power_L" are used to obtain Figs. 9-11, respectively.

Abstract of the paper: Intelligent reflecting surfaces (IRS) have been proposed as a revolutionary technology owing to its capability of adaptively reconfiguring the propagation environment in a cost-effective and hardware-efficient fashion. While the application of IRS as a passive reflector to enhance the performance of wireless communications has been widely investigated in the literature, using IRS as a passive transmitter recently is emerging as a new concept and attracting steadily growing interest. In this paper, we propose two novel IRS-based passive information transmission systems using advanced symbol-level precoding. One is a standalone passive information transmission system, where the IRS operates as a passive transmitter serving multiple receivers by adjusting its elements to reflect unmodulated carrier signals. The other is a joint passive reflection and information transmission system, where the IRS not only enhances transmissions for multiple primary information receivers (PIRs) by passive reflection, but also simultaneously delivers additional information to a secondary information receiver (SIR) by embedding its information into the primary signals at the symbol level. Two typical optimization problems, i.e., power minimization and quality-of-service (QoS) balancing, are investigated for the proposed IRS-based passive information transmission systems. Simulation results demonstrate the feasibility of IRS-based passive information transmission and the effectiveness of our proposed algorithms, as compared to other benchmark schemes.

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