Energy Efficiency Optimization of Intelligent Reflective Surface-assisted Terahertz-RSMA System

Xiaoyu Chen; Feng Yan; Menghan Hu; Zihuai Lin

Energy Efficiency Optimization of Intelligent Reflective Surface-assisted Terahertz-RSMA System

Signal Processing 2022-11-22 v1

Authors: Xiaoyu Chen , Feng Yan , Menghan Hu , Zihuai Lin

Abstract

This paper examines the energy efficiency optimization problem of intelligent reflective surface (IRS)-assisted multi-user rate division multiple access (RSMA) downlink systems under terahertz propagation. The objective function for energy efficiency is optimized using the salp swarm algorithm (SSA) and compared with the successive convex approximation (SCA) technique. SCA technique requires multiple iterations to solve non-convex resource allocation problems, whereas SSA can consume less time to improve energy efficiency effectively. The simulation results show that SSA is better than SCA in improving system energy efficiency, and the time required is significantly reduced, thus optimizing the system's overall performance.

Keywords

energy efficiency optimization intelligent reflective surface rate splitting multiple access terahertz communication salp swarm algorithm successive convex approximation resource allocation

Cite

@article{arxiv.2211.11271,
  title  = {Energy Efficiency Optimization of Intelligent Reflective Surface-assisted Terahertz-RSMA System},
  author = {Xiaoyu Chen and Feng Yan and Menghan Hu and Zihuai Lin},
  journal= {arXiv preprint arXiv:2211.11271},
  year   = {2022}
}

Energy Efficiency Optimization of Intelligent Reflective Surface-assisted Terahertz-RSMA System

Abstract

Keywords

Cite

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