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相关论文: Intelligent Reflecting Surface for Downlink Non-Or…

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This letter proposes a simple design of intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) transmission, which can ensure that more users are served on each orthogonal spatial direction than spatial division…

信息论 · 计算机科学 2019-07-25 Z. Ding , H. V. Poor

Intelligent reflecting surface (IRS) is a new and promising paradigm to substantially improve the spectral and energy efficiency of wireless networks, by constructing favorable communication channels via tuning massive low-cost passive…

信息论 · 计算机科学 2021-05-18 Jiangbin Lyu , Rui Zhang

Although multi-access edge computing (MEC) has allowed for computation offloading at the network edge, weak wireless signals in the radio access network caused by obstacles and high network load are still preventing efficient edge…

信号处理 · 电气工程与系统科学 2023-12-15 Elie El Haber , Mohamed Elhattab , Chadi Assi , Sanaa Sharafeddine , Kim Khoa Nguyen

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

Reconfigurable intelligent surfaces (RISs) bring great potential to the advancement of 6G and beyond wireless communication technologies. RISs introduce a great degree of flexibility, allowing some sort of virtual control over the wireless…

信号处理 · 电气工程与系统科学 2024-01-10 Ali Tugberk Dogukan , Emre Arslan , Ertugrul Basar

This paper investigates multiuser multi-input single-output (MISO) downlink communications assisted by a self-sustainable intelligent reflection surface (IRS), which can harvest power from the received signals. We study the joint design of…

信号处理 · 电气工程与系统科学 2020-05-26 Shaokang Hu , Zhiqiang Wei , Yuanxin Cai , Derrick Wing Kwan Ng , Jinhong Yuan

Intelligent reflecting surfaces (IRSs) are envisioned as a low-cost solution to achieve high spectral and energy efficiency in future communication systems due to their ability to customize wireless propagation environments. Although…

信息论 · 计算机科学 2023-02-27 Yifei Wu , Dongfang Xu , Derrick Wing Kwan Ng , Robert Schober , Wolfgang Gerstacker

We introduce a novel system setup where a backscatter device operates in the presence of an intelligent reflecting surface (IRS). In particular, we study the bistatic backscatter communication (BackCom) system assisted by an IRS. The phase…

信息论 · 计算机科学 2020-09-16 Xiaolun Jia , Jun Zhao , Xiangyun Zhou , Dusit Niyato

Intelligent reflecting surface (IRS) is envisioned to be a new and revolutionizing technology for achieving spectrum and energy efficient wireless communication networks cost-effectively in the future. Specifically, an IRS consists of a…

信息论 · 计算机科学 2019-08-13 Qingqing Wu , Rui Zhang

A dual-polarized intelligent reflecting surface (IRS) can contribute to a better multiplexing of interfering wireless users. In this paper, we use this feature to improve the performance of dual-polarized massive multiple-input…

Intelligent reflecting surfaces (IRSs) are regarded as key enablers of next-generation wireless communications, due to their capability of customizing the wireless propagation environment. In this paper, we investigate power-efficient…

信息论 · 计算机科学 2020-05-15 Xianghao Yu , Dongfang Xu , Derrick Wing Kwan Ng , Robert Schober

This paper considers an intelligent reflecting surface(IRS)-aided wireless powered communication network (WPCN), where devices first harvest energy from a power station (PS) in the downlink (DL) and then transmit information using…

信息论 · 计算机科学 2021-09-03 Piao Zeng , Qingqing Wu , Deli Qiao

Intelligent reflecting surface (IRS) has recently been emerging as an enabler for smart radio environment in which passive antenna arrays can be used to actively tailor/control the radio propagation. With multiple IRSs being launched to…

信号处理 · 电气工程与系统科学 2021-12-09 Tu V. Nguyen , Diep N. Nguyen

Intelligent reflecting surface (IRS) that enables the control of the wireless propagation environment has been looked upon as a promising technology for boosting the spectrum and energy efficiency in future wireless communication systems.…

信号处理 · 电气工程与系统科学 2020-02-26 Samith Abeywickrama , Rui Zhang , Chau Yuen

This letter investigates an intelligent reflecting surfaces (IRS)-enhanced network from spectral efficiency enhancement point of view for downlink multi-user (MU) multi-input-single-output systems (MISO). In contrast to previous works which…

信号处理 · 电气工程与系统科学 2023-03-01 Farimehr Zohari , S. M. Mahdi Shahabi , Mehrdad Ardebilipour

Intelligent reflecting surface (IRS) is envisioned to have abundant applications in future wireless networks by smartly reconfiguring the signal propagation for performance enhancement. Specifically, an IRS consists of a large number of…

信息论 · 计算机科学 2018-09-13 Qingqing Wu , Rui Zhang

Over-the-air computation (AirComp) becomes a promising approach for fast wireless data aggregation via exploiting the superposition property in a multiple access channel. To further overcome the unfavorable signal propagation conditions for…

信息论 · 计算机科学 2019-05-01 Tao Jiang , Yuanming Shi

Intelligent reflecting surfaces (IRSs) technology has been considered a promising solution in visible light communication (VLC) systems due to its potential to overcome the line-of-sight (LoS) blockage issue and enhance coverage. Moreover,…

信号处理 · 电气工程与系统科学 2025-04-29 Ahrar N. Hamad , Ahmad Adnan Qidan , Taisir E. H. El-Gorashi , Jaafar M. H. Elmirghani

Innovative reconfigurable intelligent surface (RIS) technologies are rising and recognized as promising candidates to enhance 6G and beyond wireless communication systems. RISs acquire the ability to manipulate electromagnetic signals,…

Intelligent reflective surface (IRS) technology is emerging as a promising performance enhancement technique for next-generation wireless networks. Hence, we investigate the physical layer security of the downlink in IRS-aided…

信号处理 · 电气工程与系统科学 2020-11-09 Zhiqing Tang , Tianwei Hou , Yuanwei Liu , Jiankang Zhang , Lajos Hanzo