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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

This paper proposes a novel relay-aided intelligent reconfigurable surface (IRS) architecture for future wireless communication systems. The proposed architecture, which consists of two side-by-side intelligent surfaces connected via a…

信息论 · 计算机科学 2020-06-12 Xiaoyan Ying , Umut Demirhan , Ahmed Alkhateeb

This paper suggests the use of multiple distributed intelligent reflecting surfaces (IRSs) towards a smarter control of the propagation environment. Notably, we also take into account the inevitable correlated Rayleigh fading in…

Integrating wireless sensing capabilities into base stations (BSs) has become a widespread trend in the future beyond fifth-generation (B5G)/sixth-generation (6G) wireless networks. In this paper, we investigate intelligent reflecting…

新兴技术 · 计算机科学 2024-04-09 Taotao Ji , Meng Hua , Xuanhong Yan , Chunguo Li , Yongming Huang , Luxi Yang

This paper considers an angle-domain intelligent reflecting surface (IRS) system. We derive maximum likelihood (ML) estimators for the effective angles from the base station (BS) to the user and the effective angles of propagation from the…

信息论 · 计算机科学 2021-03-02 Xiaoling Hu , Caijun Zhong , Zhaoyang Zhang

Intelligent reflecting surface (IRS) has emerged as a promising and revolutionizing technology for future wireless networks. Most existing IRS studies focus on simple cooperative systems which usually have a single frequency band. In…

信号处理 · 电气工程与系统科学 2022-09-02 Wenhao Cai , Ming Li , Qian Liu

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 an emerging technology that is able to reconfigure the wireless channel via tunable passive signal reflection and thereby enhance the spectral and energy efficiency of wireless networks…

信息论 · 计算机科学 2022-10-17 Ming-Min Zhao , An Liu , Yubo Wan , Rui Zhang

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 reflective surface (IRS) is an emergent technology for future wireless communications. It consists of a large 2D array of passive scattering elements that control the electromagnetic properties of radio-frequency waves so that…

信号处理 · 电气工程与系统科学 2020-01-22 Gilderlan T. de Araújo , André L. F. de Almeida

Intelligent reflection surface (IRS) is emerging as a promising technique for future wireless communications. Considering its excellent capability in customizing the channel conditions via energy-focusing and energy-nulling, it is an ideal…

信息论 · 计算机科学 2021-08-31 Shihao Yan , Xiaobo Zhou , Derrick Wing Kwan Ng , Jinhong Yuan , Naofal Al-Dhahir

Intelligent reflecting surface (IRS) has been regarded as a promising and revolutionary technology for future wireless communication systems owing to its capability of tailoring signal propagation environment in an…

信号处理 · 电气工程与系统科学 2022-04-14 Wenhao Cai , Rang Liu , Ming Li , Yang Liu , Qingqing Wu , Qian Liu

In this paper, a single user multiple input single output downlink wireless communication system is investigated, in which multiple reconfigurable intelligent surfaces (RISs) are deployed to improve the propagation condition. Our objective…

信号处理 · 电气工程与系统科学 2019-12-24 Huayan Guo , Ying-Chang Liang , Sa Xiao

Recently, as explosive growth of mobile data traffic, the performance of wireless communication systems requires to be enhanced significantly in future. Intelligent reflecting surface (IRS) can be used as a promising way to improve the…

信息论 · 计算机科学 2020-04-22 Yiming Liu , Erwu Liu , Rui Wang

Intelligent reflecting surface (IRS) is envisioned as a promising technology to broaden signal coverage and enhance transmission in terahertz (THz) communications. Due to the passivity of IRS, the channel measurement can not be achieved by…

信息论 · 计算机科学 2020-03-17 Boyu Ning , Zhi Chen , Wenrong Chen , Yiming Du

As a means to control wireless propagation environments, the use of emerging and novel intelligent reflecting surfaces (IRS) is envisioned to enhance and broaden many applications in future wireless networks. This paper is concerned with a…

信号处理 · 电气工程与系统科学 2020-03-23 Dian-Wu Yue , Ha H. Nguyen , Yu Sun

In this paper, an intelligent reflecting surface (IRS) is leveraged to enhance the physical layer security of an integrated sensing and communication (ISAC) system in which the IRS is deployed to not only assist the downlink communication…

信息论 · 计算机科学 2022-07-20 Meng Hua , Qingqing Wu , Wen Chen , Octavia A. Dobre , A. Lee Swindlehurst

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

Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal prorogation in wireless networks. By smartly tuning the signal reflection via a large number of low-cost passive reflecting elements, IRS is capable…

信息论 · 计算机科学 2020-07-08 Qingqing Wu , Shuowen Zhang , Beixiong Zheng , Changsheng You , Rui Zhang

This paper investigates the uplink cascaded channel estimation for intelligent-reflecting-surface (IRS)-assisted multi-user multiple-input-single-output systems. We focus on a sub-6 GHz scenario where the channel propagation is not sparse…

信号处理 · 电气工程与系统科学 2022-09-07 Huayan Guo , Vincent K. N. Lau