Weighted Sum-Rate Maximization for Multi-IRS Aided Cooperative Transmission
February 12, 2020 Β· Declared Dead Β· π IEEE Wireless Communications Letters
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Authors
Zhengfeng Li, Meng Hua, Qingxia Wang, Qingheng Song
arXiv ID
2002.04900
Category
eess.SP: Signal Processing
Cross-listed
cs.IT
Citations
106
Venue
IEEE Wireless Communications Letters
Last Checked
4 months ago
Abstract
This paper investigates multiple intelligent reflecting surfaces (IRSs) aided wireless network, where the IRSs are deployed to cooperatively assist communications between a multi-antenna base station (BS) and multiple single-antenna cell-edge users. We aim at maximizing the weighted sum rate of all the cell-edge users by jointly optimizing the BS's transmit beamforming and IRS's phase shifts. Especially, the beamforming is optimally solved by the Lagrangian method, and the phase shifts are obtained based on the Riemannian manifold conjugate gradient (RMCG) method. Numerical results show that a significant throughput is improved with aid of multiple IRSs.
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