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Intelligent reflecting surface (IRS) has drawn a lot of attention recently as a promising new solution to achieve high spectral and energy efficiency for future wireless networks. By utilizing massive low-cost passive reflecting elements,…

信息论 · 计算机科学 2022-10-17 Ming-Min Zhao , Qingqing Wu , Min-Jian Zhao , Rui Zhang

The application of intelligent reflecting surface (IRS) depends on the knowledge of channel state information (CSI), and has been hindered by the heavy overhead of channel training, estimation, and feedback in fast-changing channels. This…

信息论 · 计算机科学 2022-06-16 Yashuai Cao , Tiejun Lv , Wei Ni

Intelligent reflecting surface (IRS) has been widely studied in recent years, it has emerged as a new technology which can reflect the incident signal by intelligently configuring the reflection elements, thus changing the signal…

信息论 · 计算机科学 2024-05-07 Jintao Luo , Sixing Yin

Recently, terahertz (THz) communication has drawn considerable attention as one of the promising technologies for the future wireless communications owning to its ultra-wide bandwidth. Nonetheless, one major obstacle that prevents the…

信息论 · 计算机科学 2020-09-15 Wanming Hao , Gangcan Sun , Ming Zeng , Zhengyu Zhu , Zheng Chu , Octavia A. Dobre , Pei Xiao

In this paper, we investigate an intelligent reflecting surface (IRS) assisted cell-free multiple input multiple output (MIMO) communication system, where distributed multiple IRSs are dedicated deployed to assist distributed multiple base…

信息论 · 计算机科学 2021-08-18 Xie Xie , Chen He , Xiaoya Li , Kun Yang , Z. Jane Wang

Intelligent reflecting surface (IRS) is a new and revolutionizing technology for achieving spectrum and energy efficient wireless networks. By leveraging massive low-cost passive elements that are able to reflect radio-frequency (RF)…

信息论 · 计算机科学 2019-11-12 Qingqing Wu , Rui Zhang

Intelligent reflecting surface (IRS) has emerged as an enabling technology to achieve smart and reconfigurable wireless communication environment cost-effectively. Prior works on IRS mainly consider its passive beamforming design and…

信息论 · 计算机科学 2021-03-12 Beixiong Zheng , Changsheng You , Rui Zhang

Reconfigurable intelligent surface (RIS) provides a promising way to build the programmable wireless transmission environments in the future. Owing to the large number of reflecting elements used at the RIS, joint optimization for the…

信息论 · 计算机科学 2021-01-11 Xiaoyan Ma , Shuaishuai Guo , Haixia Zhang , Yuguang Fang , Dongfeng Yuan

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

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

Intelligent reflecting surface (IRS) has the potential to significantly enhance the network performance by reconfiguring the wireless propagation environments. It is however difficult to obtain the accurate downlink channel state…

信息论 · 计算机科学 2020-05-18 Wenzhi Fang , Min Fu , Yuanming Shi , Yong Zhou

Intelligent reflecting surfaces (IRSs) have received considerable attention from the wireless communications research community recently. In particular, as low-cost passive devices, IRSs enable the control of the wireless propagation…

信息论 · 计算机科学 2019-04-30 Xianghao Yu , Dongfang Xu , Robert Schober

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

The concept of reconfiguring wireless propagation environments using intelligent reflecting surfaces (IRS)s has recently emerged, where an IRS comprises of a large number of passive reflecting elements that can smartly reflect the impinging…

Perfect channel state information (CSI) is challenging to obtain due to the limited signal processing capability at the intelligent reflection surface (IRS). In this paper, we study the worst-case robust beamforming design for an IRS-aided…

信号处理 · 电气工程与系统科学 2020-06-02 Gui Zhou , Cunhua Pan , Hong Ren , Kezhi Wang , Marco Di Renzo , Arumugam Nallanathan

This paper studies the feasibility of deploying intelligent reflecting surfaces (IRSs) in massive MIMO (multiple-input multiple-output) systems to improve the performance of users in the service dead zone. To reduce the channel training…

信息论 · 计算机科学 2022-01-13 Zhaorui Wang , Liang Liu , Shuowen Zhang , Shuguang Cui

Low-cost passive intelligent reflecting surfaces (IRSs) have recently been envisioned as a revolutionary technology capable of reconfiguring the wireless propagation environment through carefully tuning reflection elements. This paper…

信号处理 · 电气工程与系统科学 2021-09-14 Zhangjie Peng , Zhenkun Zhang , Cunhua Pan , Li Li , A. Lee Swindlehurst

Intelligent reflecting surface (IRS) is a promising technology to extend the wireless signal coverage and support the high performance communication. By intelligently adjusting the reflection coefficients of a large number of passive…

信息论 · 计算机科学 2021-03-01 Yitao Han , Shuowen Zhang , Lingjie Duan , Rui Zhang

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 surfaces (IRSs) constitute passive devices, which are capable of adjusting the phase shifts of their reflected signals, and hence they are suitable for passive beamforming. In this paper, we conceive their design with…

信号处理 · 电气工程与系统科学 2021-06-03 Chenghao Feng , Wenqian Shen , Xinyu Gao , Jianping An
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