Robust Design for IRS-Aided Communication Systems with User Location Uncertainty
Type
ArticleKAUST Department
Communication Theory LabComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Date
2020Preprint Posting Date
2020-08-27Permanent link to this record
http://hdl.handle.net/10754/665118
Metadata
Show full item recordAbstract
In this paper, we propose a robust design framework for IRS-aided communication systems in the presence of user location uncertainty. By jointly designing the transmit beamforming vector at the BS and phase shifts at the IRS, we aim to minimize the transmit power subject to the worse-case quality of service (QoS) constraint, i.e., ensuring the user rate is above a threshold for all possible user location error realizations. With unit-modulus, this problem is not convex. The location uncertainty in the QoS constraint further increases the difficulty of solving this problem. By utilizing techniques of Taylor expansion, S-Procedure and semidefinite relaxation (SDP), we transform this problem into a sequence of semidefinite programming (SDP) sub-problems. Simulation results show that the proposed robust algorithm substantially outperforms the non-robust algorithm proposed in the literature, in terms of probability of reaching the required QoS target.Citation
Hu, X., Zhong, C., Alouini, M.-S., & Zhang, Z. (2020). Robust Design for IRS-Aided Communication Systems with User Location Uncertainty. IEEE Wireless Communications Letters, 1–1. doi:10.1109/lwc.2020.3020850arXiv
2008.11864Additional Links
https://ieeexplore.ieee.org/document/9184012/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9184012
ae974a485f413a2113503eed53cd6c53
10.1109/LWC.2020.3020850