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相关论文: Optimizing Intelligent Reflecting Surface-Base Sta…

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The intelligent reflecting surface (IRS) is a planar array with massive reconfigurable passive elements, which can align the reflecting signals at the receivers via controlling the phase shifts at each element independently. Since IRS can…

信号处理 · 电气工程与系统科学 2020-10-22 Silei Wang , Qiang Li , Sissi Xiaoxiao Wu , Jingran Lin

Intelligent reflecting surface (IRS) has been deemed as a transformative technology to achieve smart and reconfigurable environment for wireless communication. This letter studies a new IRS-aided communication system, where multiple IRSs…

信息论 · 计算机科学 2020-10-27 Weidong Mei , Rui Zhang

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 paper proposes a novel location information aided multiple intelligent reflecting surface (IRS) systems. Assuming imperfect user location information, the effective angles from the IRS to the users are estimated, which is then used to…

信息论 · 计算机科学 2020-08-24 Xiaoling Hu , Caijun Zhong , Yu Zhang , Xiaoming Chen , Zhaoyang Zhang

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

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…

In this paper, we study the intelligent reflecting surface (IRS) deployment problem where a number of IRSs are optimally placed in a target area to improve its signal coverage with the serving base station (BS). To achieve this, we assume…

信号处理 · 电气工程与系统科学 2024-10-29 Min Fu , Lipeng Zhu , Rui Zhang

Intelligent Reflecting Surface (IRS) is envisioned to be a technical enabler for the sixth-generation (6G) wireless system. Its potential lies in delivering high performance while maintaining both power efficiency and cost-effectiveness.…

信息论 · 计算机科学 2024-05-17 Wei Jiang , Hans Schotten

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

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

Intelligent reflecting surface (IRS) and movable antenna (MA)/fluid antenna (FA) techniques have both received increasing attention in the realm of wireless communications due to their ability to reconfigure and improve wireless channel…

信息论 · 计算机科学 2024-09-04 Xin Wei , Weidong Mei , Qingqing Wu , Boyu Ning , Zhi Chen

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

Intelligent reflecting surface (IRS) can be densely deployed in complex environment to create cascaded line-of-sight (LoS) paths between multiple base stations (BSs) and users via tunable IRS reflections, thereby significantly enhancing the…

信息论 · 计算机科学 2023-04-07 Weidong Mei , Rui Zhang

Autonomous driving and intelligent transportation applications have dramatically increased the demand for high-accuracy and low-latency localization services. While cellular networks are potentially capable of target detection and…

信息论 · 计算机科学 2024-01-08 Kaitao Meng , Qingqing Wu , Wen Chen , Deshi Li

This paper studies a multiple intelligent reflecting surfaces (IRSs) collaborative localization system where multiple semi-passive IRSs are deployed in the network to locate one or more targets based on time-of-arrival. It is assumed that…

信息论 · 计算机科学 2024-06-18 Ziheng Zhang , Wen Chen , Qingqing Wu , Zhendong Li , Xusheng Zhu , Jingfeng Chen , Nan Cheng

Intelligent reflect surface (IRS) is a potential technology to build programmable wireless environment in future communication systems. In this paper, we consider an IRS-assisted multi-base station (multi-BS) multi-user millimeter wave…

信息论 · 计算机科学 2020-11-04 Dan Zhao , Hancheng Lu , Yazheng Wang , Huan Sun , Yongqiang Gui

Intelligent reflecting surfaces (IRSs) have recently received significant attention for 6G wireless communications as they enable the control of the wireless propagation environment. The use of IRS also provides reducing the hardware…

信号处理 · 电气工程与系统科学 2025-10-06 Ahmet M. Elbir , Kumar Vijay Mishra

Intelligent Reflecting Surface (IRS) has been a promising solution to enhance wireless networks both spectral-efficiently and energy-efficiently. This paper considers an IRS-assisted the Internet of Things network for massive connectivity.…

信号处理 · 电气工程与系统科学 2019-11-28 Shuhao Xia , Yuanming Shi

The analysis and optimization of single intelligent reflecting surface (IRS)-assisted systems have been extensively studied, whereas little is known regarding multiple-IRS-assisted systems. This paper investigates the analysis and…

信息论 · 计算机科学 2022-06-07 Gengfa Ding , Feng Yang , Lianghui Ding , Ying Cui

Intelligent reflecting surfaces (IRSs) have emerged as a transformative technology for wireless networks by improving coverage, capacity, and energy efficiency through intelligent manipulation of wireless propagation environments. This…

信号处理 · 电气工程与系统科学 2025-03-06 Qingqing Wu , Guangji Chen , Qiaoyan Peng , Wen Chen , Yifei Yuan , Zhenqiao Cheng , Jianwu Dou , Zhiyong Zhao , Ping Li