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Wireless sensing and wireless energy are enablers to pave the way for smart transportation and a greener future. In this paper, an intelligent reflecting surface (IRS) assisted integrated sensing and wireless power transfer (ISWPT) system…

信号处理 · 电气工程与系统科学 2023-12-04 Zheng Li , Zhengyu Zhu , Zheng Chu , Yingying Guan , De Mi , Fan Liu , Lie-Liang Yang

Intelligent reflecting surface (IRS), which consists of a large number of tunable reflective elements, is capable of enhancing the wireless propagation environment in a cellular network by intelligently reflecting the electromagnetic waves…

信号处理 · 电气工程与系统科学 2021-06-10 Tao Jiang , Hei Victor Cheng , Wei Yu

An intelligent reflecting surface (IRS) can adaptively adjust the phase shifts of its reflecting units to strengthen the desired signal and/or suppress the undesired signal. In this letter, we investigate an IRS-aided secure wireless…

信息论 · 计算机科学 2019-05-28 Miao Cui , Guangchi Zhang , Rui Zhang

In this paper, we investigate the design of robust and secure transmission in intelligent reflecting surface (IRS) aided wireless communication systems. In particular, a multi-antenna access point (AP) communicates with a single-antenna…

信号处理 · 电气工程与系统科学 2020-12-04 Sheng Hong , Cunhua Pan , Hong Ren , Kezhi Wang , Kok Keong Chai , Arumugam Nallanathan

Intelligent reflecting surface (IRS) has emerged as a promising technique to control wireless propagation environment for enhancing the communication performance cost-effectively. However, the rapidly time-varying channel in high-mobility…

信息论 · 计算机科学 2023-02-16 Zixuan Huang , Beixiong Zheng , Rui Zhang

In this paper, we propose a robust secrecy transmission scheme for intelligent reflecting surface (IRS) aided communication systems. Different from all the existing works where IRS has already been deployed at a fixed location, we take the…

信息论 · 计算机科学 2022-08-01 Jiale Bai , Hui-Ming Wang , Peng Liu

Intelligent reflecting surfaces (IRSs) enable multiple-input multiple-output (MIMO) transmitters to modify the communication channels between the transmitters and receivers. In the presence of eavesdropping terminals, this degree of freedom…

信息论 · 计算机科学 2022-02-03 Saba Asaad , Yifei Wu , Ali Bereyhi , Ralf R. Müller , Rafael F. Schaefer , H. Vincent Poor

Intelligent reflecting surface (IRS) is a cost-effective solution for achieving high spectrum and energy efficiency in future wireless networks by leveraging massive low-cost passive elements that are able to reflect the signals with…

信息论 · 计算机科学 2020-01-03 Qingqing Wu , Rui Zhang

Recent considerations for reconfigurable intelligent surfaces (RISs) assume that RISs can convey information by reflection without the need of transmit radio frequency chains, which, however, is a challenging task. In this paper, we propose…

The intelligent reflecting surface (IRS) alters the behavior of wireless media and, consequently, has potential to improve the performance and reliability of wireless systems such as communications and radar remote sensing. Recently,…

信号处理 · 电气工程与系统科学 2023-04-13 Ahmet M. Elbir , Kumar Vijay Mishra , M. R. Bhavani Shankar , Symeon Chatzinotas

Intelligent reflecting surface (IRS) is envisioned as a promising solution for controlling radio propagation environments in future wireless systems. In this paper, we propose a distributed intelligent reflecting surface (IRS) assisted…

信号处理 · 电气工程与系统科学 2020-11-02 Yashuai Cao , Tiejun Lv , Wei Ni

Intelligent reflecting surfaces (IRSs) tune wireless environments to increase spectrum and energy efficiencies. In view of much recent attention to the IRS concept as a promising technology for 6G wireless communications, we present a…

信号处理 · 电气工程与系统科学 2019-11-05 Jun Zhao

In this paper, intelligent reflecting surface (IRS) is introduced to enhance the network performance of cognitive radio (CR) systems. Specifically, we investigate robust beamforming design based on both bounded channel state information…

信号处理 · 电气工程与系统科学 2024-01-08 Lei Zhang , Cunhua Pan , Yu Wang , Hong Ren , Kezhi Wang

Intelligent reflecting surface (IRS) is a cost-efficient technique to improve power efficiency and spectral efficiency. However, IRS-aided multi-antenna transmission needs to jointly optimize the passive and active beamforming, imposing a…

信息论 · 计算机科学 2022-05-03 Wei Jiang , Hans Dieter Schotten

In this article, we overview intelligent reflecting surface (IRS)-empowered wireless communication systems. We first present the fundamentals of IRS-assisted wireless transmission. On this basis, we explore the integration of IRS with…

Intelligent Reflecting Surface (IRS) is envisioned to be a technical enabler for the sixth-generation (6G) wireless system. Its potential lies in delivering high performance while maintaining both power efficiency and cost-effectiveness.…

信息论 · 计算机科学 2024-05-17 Wei Jiang , Hans Schotten

Intelligent reflecting surface (IRS) has emerged as a revolutionizing solution to enhance wireless communications by intelligently changing the propagation environment. Prior studies on IRS are based on an ideal reflection model with a…

信号处理 · 电气工程与系统科学 2020-06-03 Wenhao Cai , Hongyu Li , Ming Li , Qian Liu

In this paper, we investigate the robust outage constrained transmission design for an intelligent reflecting surface (IRS) aided secure communication system. We assume that a single-antenna legitimate receiver (Bob) served by a…

信号处理 · 电气工程与系统科学 2024-10-30 Sheng Hong , Cunhua Pan , Gui Zhou , Hong Ren , Kezhi Wang

In this paper, secure wireless information and power transfer with intelligent reflecting surface (IRS) is proposed for a multiple-input single-output (MISO) system. Under the secrecy rate (SR) and the reflecting phase shifts of IRS…

信号处理 · 电气工程与系统科学 2019-11-05 Weiping Shi , Xiaobo Zhou , Linqiong Jia , Yongpeng Wu , Feng Shu , Jiangzhou Wang

In this paper, we propose a new dynamic IRS beamforming framework to boost the sum throughput of an intelligent reflecting surface (IRS) aided wireless powered communication network (WPCN). Specifically, the IRS phase-shift vectors across…

信息论 · 计算机科学 2021-11-22 Qingqing Wu , Xiaobo Zhou , Wen Chen , Jun Li , Xiuyin Zhang