混合 IRS 辅助 AF 中继无线网络的波束成形设计

IF 10.7 1区医学 Q1 PHARMACOLOGY & PHARMACY Asian Journal of Pharmaceutical Sciences Pub Date : 2023-11-23 DOI:10.48550/arXiv.2311.13893

Xuehui Wang, Yifan Zhao, Feng Shu, Yan Wang

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引用次数: 0

摘要

本文提出了一种混合 IRS 辅助放大前向（AF）中继无线网络，其中混合 IRS 由无源和有源元件组成。为了获得最大信噪比（SNR），本文提出了一种基于逐次凸逼近和分数编程（LC-SCA-FP）的低复杂度方法，用于联合优化 AF 中继的波束成形矩阵和 IRS 的反射系数矩阵。仿真结果验证了所提出的 LC-SCA-FP 方法实现的速率超过了基准方案，即无源 IRS 辅助 AF 中继和仅 AF 中继网络。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Beamforming Design for Hybrid IRS-aided AF Relay Wireless Networks

In this paper, a hybrid IRS-aided amplify-and-forward (AF) relay wireless network is put forward, where the hybrid IRS is made up of passive and active elements. For maximum signal-to-noise ratio (SNR), a low-complexity method based on successive convex approximation and fractional programming (LC-SCA-FP) is proposed to jointly optimize the beamforming matrix at AF relay and the reflecting coefficient matrices at IRS. Simulation results verify that the rate achieved by the proposed LC-SCA-FP method surpass those of the benchmark schemes, namely the passive IRS-aided AF relay and only AF relay network.

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来源期刊

Asian Journal of Pharmaceutical Sciences Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science

CiteScore

18.30

自引率

2.90%

发文量

审稿时长

14 days

期刊介绍： The Asian Journal of Pharmaceutical Sciences (AJPS) serves as the official journal of the Asian Federation for Pharmaceutical Sciences (AFPS). Recognized by the Science Citation Index Expanded (SCIE), AJPS offers a platform for the reporting of advancements, production methodologies, technologies, initiatives, and the practical application of scientific knowledge in the field of pharmaceutics. The journal covers a wide range of topics including but not limited to controlled drug release systems, drug targeting, physical pharmacy, pharmacodynamics, pharmacokinetics, pharmacogenomics, biopharmaceutics, drug and prodrug design, pharmaceutical analysis, drug stability, quality control, pharmaceutical engineering, and material sciences.