Distributed IRS With Statistical Passive Beamforming for MISO Communications
Type
ArticleKAUST Department
Communication Theory LabComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering Program
Physical Science and Engineering (PSE) Division
Date
2021-02Permanent link to this record
http://hdl.handle.net/10754/667545
Metadata
Show full item recordAbstract
Intelligent reflecting surface (IRS) has recently been identified as a prominent technology with the ability of enhancing wireless communication by dynamically manipulating the propagation environment. This letter investigates a multiple-input single-output (MISO) system deploying distributed IRSs. For practical considerations, we propose an efficient design of passive reflecting beamforming for the IRSs to exploit statistical channel state information (CSI) and analyze the achievable rate of the network taking into account the impact of CSI estimation error. The ergodic achievable rate is derived in a closed form, which provides insightful system design guidelines. Numerical results confirm the accuracy of the derived results and unveil the performance superiority of the proposed distributed IRS deployment over the conventional centralized deployment.Citation
Gao, Y., Xu, J., Xu, W., Ng, D. W. K., & Alouini, M.-S. (2021). Distributed IRS With Statistical Passive Beamforming for MISO Communications. IEEE Wireless Communications Letters, 10(2), 221–225. doi:10.1109/lwc.2020.3024952arXiv
2009.06286ae974a485f413a2113503eed53cd6c53
10.1109/lwc.2020.3024952