Analysis and Optimization for RIS-Aided Multi-Pair Communications Relying on Statistical CSI - Archive ouverte HAL
Article Dans Une Revue IEEE Transactions on Vehicular Technology Année : 2021

Analysis and Optimization for RIS-Aided Multi-Pair Communications Relying on Statistical CSI

Zhangjie Peng
  • Fonction : Auteur
  • PersonId : 1111681
Cunhua Pan
  • Fonction : Auteur
  • PersonId : 1111646
Hong Ren
  • Fonction : Auteur
  • PersonId : 1111682
Wei Xu

Résumé

In this paper, we investigate a reconfigurable intelligent surface (RIS) aided multi-pair communication system, in which multi-pair users exchange information via an RIS. We derive an approximate expression for the achievable rate by assuming that statistical channel state information (CSI) is available. A genetic algorithm (GA) to solve the rate maximization problem is proposed as well. In particular, we consider implementations of RISs with continuous phase shifts (CPSs) and discrete phase shifts (DPSs). Simulation results verify the obtained results and show that the proposed GA method has almost the same performance as the globally optimal solution. In addition, numerical results show that three quantization bits can achieve a large portion of the achievable rate for the CPSs setup. Index Terms-Reconfigurable intelligent surface (RIS), intelligent reflecting surface (IRS), statistical channel state information (CSI), multi-pair communication, genetic algorithm (GA).

Domaines

Electronique
Fichier principal
Vignette du fichier
2007.11704.pdf (312.53 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03358208 , version 1 (29-09-2021)

Identifiants

Citer

Zhangjie Peng, Tianshu Li, Cunhua Pan, Hong Ren, Wei Xu, et al.. Analysis and Optimization for RIS-Aided Multi-Pair Communications Relying on Statistical CSI. IEEE Transactions on Vehicular Technology, 2021, ⟨10.1109/tvt.2021.3062710⟩. ⟨hal-03358208⟩
34 Consultations
51 Téléchargements

Altmetric

Partager

More