Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications

Yijin Pan; Kezhi Wang; Cunhua Pan; Huiling Zhu; Jiangzhou Wang

Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications

Information Theory 2020-08-28 v1 math.IT

Authors: Yijin Pan , Kezhi Wang , Cunhua Pan , Huiling Zhu , Jiangzhou Wang

Abstract

In this paper, an intelligent reflecting surface (IRS) is deployed to assist the terahertz (THz) communications. The molecular absorption causes path loss peaks to appear in the THz frequency band, and the fading peak is greatly affected by the transmission distance. In this paper, we aim to maximize the sum rate with individual rate constraints, in which the IRS location, IRS phase shift, the allocation of sub-bands of the THz spectrum, and power control for UEs are jointly optimized. For the special case of a single user equipment (UE) with a single sub-band, the globally optimal solution is provided. For the general case with multiple UEs, the block coordinate searching (BCS) based algorithm is proposed to solve the non-convex problem. Simulation results show that the proposed scheme can significantly enhance system performance.

Keywords

intelligent reflecting surface beamforming reconfigurable intelligent surface

Cite

@article{arxiv.2008.12246,
  title  = {Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications},
  author = {Yijin Pan and Kezhi Wang and Cunhua Pan and Huiling Zhu and Jiangzhou Wang},
  journal= {arXiv preprint arXiv:2008.12246},
  year   = {2020}
}

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Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications

Abstract

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