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相关论文: Neural Network-Based Intelligent Reflecting Surfac…

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Integrated sensing and communication (ISAC) and intelligent reflecting surface (IRS) are viewed as promising technologies for future generations of wireless networks. This paper investigates the channel estimation problem in an IRS-assisted…

信号处理 · 电气工程与系统科学 2024-04-09 Yu Liu , Ibrahim Al-Nahhal , Octavia A. Dobre , Fanggang Wang

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 surfaces (IRSs) have the potential to transform wireless communication channels into smart reconfigurable propagation environments. To realize this new paradigm, the passive IRSs have to be large, especially for…

信息论 · 计算机科学 2020-12-10 Marzieh Najafi , Vahid Jamali , Robert Schober , Vincent H. Poor

Intelligent reflecting surface (IRS) has been recognized as a powerful technology for boosting communication performance. To reduce manufacturing and control costs, it is preferable to consider discrete phase shifts (DPSs) for IRS, which…

信息论 · 计算机科学 2023-11-07 Guojie Hu , Qingqing Wu , Dognhui Xu , Kui Xu , Jiangbo Si , Yunlong Cai , Naofal Al-Dhahir

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) is envisioned to change the paradigm of wireless communications from "adapting to wireless channels" to "changing wireless channels". However, current IRS configuration schemes, consisting of sub-channel…

信号处理 · 电气工程与系统科学 2022-05-12 Wei Wang , Wei Zhang

Reconfigurable intelligent surfaces (RIS) can actively perform beamforming and have become a crucial enabler for wireless systems in the future. The direction-of-arrival (DOA) estimates of RIS received signals can help design the reflection…

信息论 · 计算机科学 2024-11-03 Canping Yu , Yingsong Li , Liping Li , Zhixiang Huang , Qingqing Wu , Rodrigo C. de Lamare

Intelligent reflecting surface (IRS) is an emerging technology to enhance the spectral and energy efficiency of wireless communications cost-effectively. This letter considers a new multi-IRS aided wireless network where a cascaded…

信息论 · 计算机科学 2021-08-12 Weidong Mei , Rui Zhang

We propose a novel design of a dual-function radar communication (DFRC) system aided by an Intelligent Reflecting Surface (IRS). We consider a scenario with one target and multiple communication receivers, where there is no line-of-sight…

信号处理 · 电气工程与系统科学 2022-04-12 Yikai Li , Athina Petropulu

Intelligent reflecting surface (IRS) is an emerging technology for future wireless communications including 5G and especially 6G. It consists of a large 2D array of (semi-)passive scattering elements that control the electromagnetic…

信号处理 · 电气工程与系统科学 2021-04-21 Gilderlan T. de Araújo , André L. F. de Almeida , Rémy Boyer

Intelligent reflecting surfaces (IRSs) tune wireless environments to increase spectrum and energy efficiencies. In view of much recent attention to the IRS concept as a promising technology for 6G wireless communications, we present a…

信号处理 · 电气工程与系统科学 2019-11-05 Jun Zhao

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

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

This paper studies cache-aided wireless networks in the presence of active intelligent reflecting surfaces (IRSs) from an information-theoretic perspective. Specifically, we investigate interference management in a cache-aided wireless…

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

In this paper, a comprehensive performance analysis of a distributed intelligent reflective surfaces (IRSs)-aided communication system is presented. First, the optimal signal-to-noise ratio (SNR), which is attainable through the direct and…

We consider an Intelligent Reflecting Surface (IRS)-aided multiple-input single-output (MISO) system for downlink transmission. We compare the performance of Deep Reinforcement Learning (DRL) and conventional optimization methods in finding…

机器学习 · 计算机科学 2021-07-27 Amal Feriani , Amine Mezghani , Ekram Hossain

The integration of intelligent reflecting surface (IRS) to multiple access networks is a cost-effective solution for boosting spectrum/energy efficiency and enlarging network coverage/connections. However, due to the new capability of IRS…

信息论 · 计算机科学 2020-01-30 Beixiong Zheng , Qingqing Wu , Rui Zhang

Intelligent reflecting surface (IRS) is a promising technology for achieving spectrum and energy efficient wireless networks cost-effectively. Most existing works on IRS have focused on exploiting IRS to enhance the performance of wireless…

信息论 · 计算机科学 2021-06-25 Qingqing Wu , Xinrong Guan , Rui Zhang

Intelligent reflecting surface (IRS) is a rapidly emerging paradigm to enable non-line-of-sight (NLoS) wireless transmission. In this paper, we focus on IRS-aided radar estimation performance of a moving hidden or NLoS target. Unlike prior…

信号处理 · 电气工程与系统科学 2022-12-14 Zahra Esmaeilbeig , Kumar Vijay Mishra , Arian Eamaz , Mojtaba Soltanalian