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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 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) has recently been identified as a prominent technology with the ability of enhancing wireless communication by dynamically manipulating the propagation environment. This paper investigates a…

信息论 · 计算机科学 2020-09-15 Yuwei Gao , Jindan Xu , Wei Xu , Derrick Wing Kwan Ng , Mohamed Slim Alouini

Intelligent reflecting surface (IRS) is a proposing technology in 6G to enhance the performance of wireless networks by smartly reconfiguring the propagation environment with a large number of passive reflecting elements. However, current…

信息论 · 计算机科学 2020-02-17 Jinglian He , Kaiqiang Yu , Yuanming Shi

Wireless communications via intelligent reflecting surfaces (IRSs) has received considerable attention from both academia and industry. In particular, IRSs are able to create favorable wireless propagation environments with typically…

信息论 · 计算机科学 2020-01-31 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

Intelligent reflecting surface (IRS) is a promising technology for achieving high spectrum efficiency in future wireless networks by leveraging massive low-cost reflecting elements with each reflecting the incident signal with a proper…

信息论 · 计算机科学 2018-10-29 Qingqing Wu , Rui Zhang

Intelligent reflecting surface (IRS) has recently received significant attention in wireless networks owing to its ability to smartly control the wireless propagation through passive reflection. Although prior works have employed the IRS to…

信息论 · 计算机科学 2023-05-01 Guangji Chen , Qingqing Wu

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) is a promising technology to boost the efficiency of wireless energy transfer (WET) systems. However, for a multiuser WET system, simultaneous multi-beam energy transmission is generally required to…

信息论 · 计算机科学 2022-05-19 Chi Qiu , Qingqing Wu , Meng Hua , Xinrong guan , Yuan Wu

Intelligent Reflecting Surface (IRS) technology is revolutionizing wireless communications by shifting from channel adaptation to a responsive wireless environment. This paper introduces a multi-IRS assisted millimeter wave (mm-wave)…

信号处理 · 电气工程与系统科学 2024-01-04 Alireza Qazavi Khorasgani , Foroogh S. Tabataba , Mehdi Naderi Soorki , Mohammad Sadegh Fazel

Intelligent reflecting surface (IRS) is considered as an enabling technology for future wireless communication systems since it can intelligently change the wireless environment to improve the communication performance. In this paper, an…

信号处理 · 电气工程与系统科学 2019-09-26 Hongyu Li , Rang Liu , Ming Li , Qian Liu

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

In a practical massive MIMO (multiple-input multiple-output) system, the number of antennas at a base station (BS) is constrained by the space and cost factors, which limits the throughput gain promised by theoretical analysis. This paper…

信息论 · 计算机科学 2020-05-06 Zhaorui Wang , Liang Liu , Shuguang Cui

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

Intelligent reflecting surface (IRS) that enables the control of wireless propagation environment has recently emerged as a promising cost-effective technology for boosting the spectrum and energy efficiency in future wireless communication…

信息论 · 计算机科学 2020-02-25 Samith Abeywickrama , Rui Zhang , Qingqing Wu , Chau Yuen

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

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

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

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
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