Ergodic Rate Analysis and Optimization of Full-Duplex STAR-RIS Communication Systems

被引：0

作者：

Jose, Justin ^{[1
]}

Shaik, Parvez ^{[2
]}

Bisen, Shubham ^{[1
]}

Bhatia, Vimal ^{[1
,3
]}

机构：

[1] IIT Indore, Dept Elect Engn, Indore 453552, Madhya Pradesh, India

[2] Texas A&M Univ, Dept Elect & Comp Engn, Al Rayyan, Qatar

[3] IIT Indore, Ctr Adv Elect, Indore 452017, Madhya Pradesh, India

来源：

2023 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT | 2023年

关键词：

STAR-RIS; full-duplex; ergodic rate; power allocation; PSO; Nakagami-m fading; RESOURCE-ALLOCATION; ASSISTED NOMA; PERFORMANCE; CAPACITY; SURFACE; CSI;

D O I：

10.1109/EUCNC/6GSUMMIT58263.2023.10188296

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recently, the concept of simultaneously transmitting and reflecting based reconfigurable intelligent surface (STARRIS) has attracted research interest due to its capability of serving both half-spaces unlike conventional reflecting-only RIS. In this paper, we perform ergodic rate (ER) analysis for full-duplex based STAR-RIS communication and then maximize the same subject to quality-of-service constraints of the users. We first present closed-form expressions of ER for both uplink and downlink users over generalized Nakagami-m fading channels. Further, to minimize the effects inter-user interference and residual self-interference, particle swarm optimization algorithm is employed in jointly optimizing the transmission amplitude, element partitioning and user transmit powers. Extensive MonteCarlo simulations are carried out over different system parameters to verify accuracy of the results and useful inferences are obtained.

引用

页码：7 / 12

页数：6

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