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The high reflect beamforming gain of the intelligent reflecting surface (IRS) makes it appealing not only for wireless information transmission but also for wireless power transfer. In this letter, we consider an IRS-assisted wireless…

信息论 · 计算机科学 2021-04-28 Dingcai Zhang , Qingqing Wu , Miao Cui , Guangchi Zhang , Dusit Niyato

This letter presents a detailed performance analysis of the intelligent reflecting surface (IRS) aided single-input single-output communication systems, taking into account of the direct link between the transmitter and receiver. A…

信息论 · 计算机科学 2020-08-04 Qin Tao , Junwei Wang , Caijun Zhong

In this letter, we design passive beamforming in an intelligent reflecting surface (IRS) assisted multiple-user wireless network. Two different scenarios are considered, namely, multicasting and multi-user downlink transmission. We optimize…

信息论 · 计算机科学 2020-07-22 Ke-Wen Huang , Hui-Ming Wang

Intelligent reflecting surface (IRS) is deemed as a promising and revolutionizing technology for future wireless communication systems owing to its capability to intelligently change the propagation environment and introduce a new dimension…

信号处理 · 电气工程与系统科学 2021-01-06 Wenhao Cai , Rang Liu , Yang Liu , Ming Li , Qian Liu

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

As communication systems that employ millimeter wave (mmWave) frequency bands must use large antenna arrays to overcome the severe propagation loss of mmWave signals, hybrid beamforming has been considered as an integral component of mmWave…

信号处理 · 电气工程与系统科学 2022-06-28 Sung Hyuck Hong , Jaeyong Park , Sung-Jin Kim , Junil Choi

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

This work presents a novel robust beamforming design dedicated for dual-functional radar and communication (DFRC) base stations (BSs) in the context of integrated sensing and communications (ISAC). The architecture is intended for…

信号处理 · 电气工程与系统科学 2023-03-15 Ahmad Bazzi , Marwa Chafii

This work proposes linear time strategies to optimally configure the phase shifts for the reflective elements of an intelligent reflecting surface (IRS). Specifically, we show that the binary phase beamforming can be optimally solved in…

信息论 · 计算机科学 2022-09-14 Yaowen Zhang , Kaiming Shen , Shuyi Ren , Xin Li , Xin Chen , Zhi-Quan Luo

Intelligent reflecting surface (IRS) is a promising technology to support high performance wireless communication. By adaptively configuring the reflection amplitude and/or phase of each passive reflecting element on it, the IRS can reshape…

信息论 · 计算机科学 2020-04-07 Yitao Han , Shuowen Zhang , Lingjie Duan , Rui Zhang

This work focuses on wideband intelligent reflecting surface (IRS)-aided multiuser MIMO systems. One of the major challenges of this scenario is the joint design of the frequency-dependent base station (BS) precoder and user filters, and…

Intelligent reflecting surface (IRS) is a promising solution to build a programmable wireless environment for future communication systems, in which the reflector elements steer the incident signal in fully customizable ways by passive…

信息论 · 计算机科学 2022-09-14 Feng Shu , Xinyi Jiang , Wenlong Cai , Weiping Shi , Mengxing Huang , Jiangzhou Wang , Xiaohu You

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

This short tutorial presents several ideas for designing dual function radar communication (DFRC) systems aided by intelligent reflecting surfaces (IRS). These problems are highly nonlinear in the IRS parameter matrix, and further, the IRS…

信号处理 · 电气工程与系统科学 2023-05-12 Yi-Kai Li , Athina Petropulu

Cognitive radio networks (CRNs) and millimeter wave (mmWave) communications are two major technologies to enhance the spectrum efficiency (SE). Considering that the SE improvement in the CRNs is limited due to the interference temperature…

信息论 · 计算机科学 2022-05-03 Xuewen Wu , Jingxiao Ma , Chenwei Gu , Xiaoping Xue , Xin Zeng

In this paper, we consider covert beamforming design for intelligent reflecting surface (IRS) assisted Internet of Things (IoT) networks, where Alice utilizes IRS to covertly transmit a message to Bob without being recognized by Willie. We…

信息论 · 计算机科学 2021-09-02 Shuai Ma , Yunqi Zhang , Hang Li , Junchang Sun , Jia Shi , Han Zhang , Chao Shen , Shiyin Li

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

This paper investigates the two-timescale transmission design for reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) systems, where the beamforming at the base station (BS) is adapted to the…

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