UAV-Assisted RIS for Future Wireless Communications: A Survey on Optimization and Performance Analysis

ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 > Item 310904400/115605

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/115605

题名:	UAV-Assisted RIS for Future Wireless Communications: A Survey on Optimization and Performance Analysis
作者:	Dinh-Thuan, Dinh-Thuan D;Do, Dinh-Thuan;Chakra, Arjun;Pogaku, Arjun Chakravarthi;Le, Byung Moo;Lee, Byung Moo;Ngu, Nhan Duc;Nguyen, Nhan Duc
贡献者:	資訊電機學院資訊工程學系
日期:	2022-02-01
上传时间:	2023-03-29 02:52:35 (UTC+0)
出版者:	亞洲大學
摘要:	Reconfigurable intelligent surfaces (RIS), a device made of low-cost meta-surfaces that can reflect or refract the signals in the desired manner, have the immense ability to enhance the data transmission from the sender to the receiver. The concept of RIS is inspired by a smart radio environment or programmable radio environment. The introduction of this device in wireless communications aids in reducing the hardware requirements, energy consumption, and signal processing complexity. The integration of this device with various emerging technologies such as multiple-input multiple-output (MIMO) systems, non-orthogonal multiple access (NOMA) technique, physical layer security, etc., has increased its potentiality in terms of performance enhancement. One such integration could be studied, i.e. RIS-assisted unmanned aerial vehicles (UAVs). The UAVs exhibit aiding capability in various services to our society such as real-time data collection, traffic monitoring, military operations & surveillance, medical assistance, and goods delivery. Despite the positive appeal, the UAV has its limitations such as fuel efficacy, environment disturbances, limited network capability, etc. Considering these scenarios, the RIS can provide assistance to UAVs to enhance their performance when integrated. There is a limited number of articles and researches that consider UAV-assisted RIS systems. This article provides a detailed survey on RIS-assisted UAV systems considering multiple contexts such as optimization, communication techniques, deep reinforcement learning, secrecy performance, efficiency enhancement, and the internet of things. Finally, we draw attention to the open challenges and possible future directions of UAV-assisted RIS systems in phase shifting, channel modeling, energy efficacy, and federated learning.
显示于类别:	[資訊工程學系] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	152	检视/开启

在ASIAIR中所有的数据项都受到原著作权保护.

数据加载中.....