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Intelligent reflecting surfaces (IRSs) are a promising low-cost solution for achieving high spectral and energy efficiency in future communication systems by enabling the customization of wireless propagation environments. Despite the…

信息论 · 计算机科学 2024-04-30 Yifei Wu , Dongfang Xu , Derrick Wing Kwan Ng , Robert Schober , Wolfgang Gerstacker

Intelligent reflecting surface (IRS) has recently been emerging as an enabler for smart radio environment in which passive antenna arrays can be used to actively tailor/control the radio propagation. With multiple IRSs being launched to…

信号处理 · 电气工程与系统科学 2021-12-09 Tu V. Nguyen , Diep N. Nguyen

This paper investigates an intelligent reflecting surface (IRS)-aided movable antenna (MA) system, where multiple IRSs cooperate with a multi-MA base station to extend wireless coverage to multiple target areas. The objective is to maximize…

信号处理 · 电气工程与系统科学 2026-01-15 Ying Gao , Qingqing Wu , Weidong Mei , Guangji Chen , Wen Chen , Ziyuan Zheng

In this paper, we study the deployment optimization for an extremely large-scale intelligent reflecting surface (XL-IRS) assisted multi-user communication system, within which the channels between the XL-IRS and the BS (or user) are modeled…

信号处理 · 电气工程与系统科学 2025-04-29 Chao Zhou , Changsheng You , Tianyu Liu , Bin Lyu

This work examines the performance gain achieved by deploying an intelligent reflecting surface (IRS) in covert communications. To this end, we formulate the joint design of the transmit power and the IRS reflection coefficients by taking…

信息论 · 计算机科学 2022-01-12 Xiaobo Zhou , Shihao Yan , Qingqing Wu , Feng Shu , Derrick Wing Kwan Ng

Intelligent reflecting surface (IRS) has emerged as a promising technique for wireless communication networks. By dynamically tuning the reflection amplitudes/phase shifts of a large number of passive elements, IRS enables flexible wireless…

信息论 · 计算机科学 2022-04-26 Weidong Mei , Beixiong Zheng , Changsheng You , Rui Zhang

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 deemed as a promising solution to improve the spectral and energy efficiency of wireless communications cost-effectively. In this paper, we consider a wireless network where multiple base stations…

信息论 · 计算机科学 2021-06-07 Weidong Mei , Rui Zhang

Compute-and-forward is a promising strategy to tackle interference and obtain high rates between the transmitting users in a wireless network. However, the quality of the wireless channels between the users substantially limits the…

信息论 · 计算机科学 2021-06-25 Mahdi Jafari Siavoshani , Seyed Pooya Shariatpanahi , Naeimeh Omidvar

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

Intelligent reflecting surface (IRS) can be densely deployed in complex environments to create cascaded line-of-sight (LoS) links between base stations (BSs) and users, which significantly enhance the signal coverage. In this paper, we…

信息论 · 计算机科学 2023-07-18 Weidong Mei , Zhi Chen , Rui Zhang

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

Intelligent reflecting surfaces (IRSs) are a promising technology for enhancing coverage and spectral efficiency, both in the sub-6 GHz and the millimeter wave (mmWave) bands. Existing approaches to leverage the benefits of IRS involve the…

信息论 · 计算机科学 2023-07-03 L. Yashvanth , Chandra R. Murthy

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…

Intelligent reflecting surfaces (IRSs) have received much attention recently and are envisioned to promote 6G communication networks. In this paper, for wireless communications aided by IRS units, we formulate optimization problems for…

信息论 · 计算机科学 2019-11-05 Jun Zhao

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 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 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

In this paper, we study the resource allocation for an intelligent reflecting surface (IRS)-assisted uplink system, where the base station is equipped with multiple antennas. We propose to jointly optimize the transmit power of the users,…

信息论 · 计算机科学 2020-07-21 M Zeng , E. B. Mohamed , O. A. Dobre , P. Fortier , Q. V. Pham

Intelligent reflecting/refracting surface (IRS) is envisioned as a promising technology to reconfigure wireless propagation environment for enhancing the communication performance, by smartly controlling the signal reflection/refraction…

信息论 · 计算机科学 2023-10-18 Zixuan Huang , Lipeng Zhu , Rui Zhang