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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

Smart and reconfigurable wireless communication environments can be established by exploiting well-designed intelligent reflecting surfaces (IRSs) to shape the communication channels. In this paper, we investigate how multiple IRSs affect…

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

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

Energy-efficient design and secure communications are of crucial importance in wireless communication networks. However, the energy efficiency achieved by using physical layer security can be limited by the channel conditions. In order to…

信息论 · 计算机科学 2020-12-10 Qun Wang , Fuhui Zhou , Rose Qingyang Hu , Yi Qian

Intelligent reflecting surface (IRS) is a promising solution to build a programmable wireless environment for future communication systems. In practice, an IRS consists of massive low-cost elements, which can steer the incident signal in…

信号处理 · 电气工程与系统科学 2019-05-31 Huayan Guo , Ying-Chang Liang , Jie Chen , Erik G. Larsson

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) 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

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 surfaces (IRSs) have emerged as a promising technology to improve the efficiency of wireless communication systems. However, passive IRSs suffer from the ``multiplicative fading" effect, because the transmit signal…

信息论 · 计算机科学 2023-05-11 Zeyan Zhuang , Xin Zhang , Dongfang Xu , Shenghui Song

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

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 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

Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-aided cell-free massive multiple-input multiple-output (CF-mMIMO) systems are investigated under spatially correlated fading channels using realistic…

信息论 · 计算机科学 2025-01-06 Zeping Sui , Hien Quoc Ngo , Michail Matthaiou , Lajos Hanzo

This paper considers an intelligent reflecting surface (IRS) assisted multi-input multi-output (MIMO) power splitting (PS) based simultaneous wireless information and power transfer (SWIPT) system with multiple PS receivers (PSRs). The…

信息论 · 计算机科学 2021-06-01 Chen He , Xie Xie , Kun Yang , Z. Jane Wang

Intelligent reflecting surface (IRS) is a promising solution to enhance the wireless communication capacity both cost-effectively and energy-efficiently, by properly altering the signal propagation via tuning a large number of passive…

信息论 · 计算机科学 2019-10-04 Shuowen Zhang , Rui Zhang

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

With the capability of reconfiguring the wireless electromagnetic environment, intelligent reflecting surface (IRS) is a new paradigm for designing future wireless communication systems. In this paper, we consider optical IRS for improving…

信息论 · 计算机科学 2022-06-30 Shiyuan Sun , Fang Yang , Jian Song , Rui Zhang

In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS). We…

信号处理 · 电气工程与系统科学 2020-12-23 Yang Liu , Jun Zhao , Ming Li , Qingqing Wu

In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS). We…

信号处理 · 电气工程与系统科学 2020-12-29 Yang Liu , Jun Zhao , Ming Li , Qingqing Wu