Double-IRS Auxilary mmWave Near-Field Communications: Channel Modeling and Performance Analysis
Millimeter wave (mmWave) communication and intelligent reflecting surface (IRS) are both promising solutions for the next generation of wireless communication technology. In this article, the near-field channel models based on the spherical wave assumption and parabolic wave assumption are proposed for double-IRS assisted mmWave communication systems, where the parabolic wave model serves as an approximation of the spherical wave model. Under the parabolic wave assumption, the directional-dependant rayleigh distances and near-field reflection phases are investigated, and explicit expressions for the normalized array gains and path power gains are obtained using the sine integral. Based on the obtained path power gains, the suboptimal IRS rotation angles are also explored. We first consider the range limits of the activation conditions for the rotation angles, and then take the derivative of the explicit expression for the amplitude of IRS-assisted link to obtain the suboptimal rotation angles for different links. Using the designed near-field reflection phases, the approximate achievable rate is obtained and verified by numerical results. From these results, an interesting finding emerges: under reasonable IRS dimensions, the performance gains of two IRSs working noncooperatively are significantly greater than those of two IRSs working together. In conclusion, this work highlights the importance of IRS rotation angles and the intrinsic nature of double-IRS assisted communications.
Authors
- Y. G. Li (ORCID: https://orcid.org/0009-0004-7742-6605)
- Yinjie Su (ORCID: https://orcid.org/0000-0001-5736-3935)
- Zhuxian Lian (ORCID: https://orcid.org/0000-0002-0865-2615)
- Lin Ling (ORCID: https://orcid.org/0009-0001-6178-8108)
- Yajun Wang (ORCID: https://orcid.org/0000-0003-1936-4747)
- Biao Wang (ORCID: https://orcid.org/0000-0001-9249-3049)
- Erkang Dong
Institutions
- Jiangsu University of Science and Technology (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1109/jiot.2025.3530475
- Citations
- 3
- Primary Topic
- Microwave Engineering and Waveguides
- Type
- article
- Field-Weighted Citation Impact
- 2.19
Funders
- National Natural Science Foundation of China