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Compared to passive intelligent reflecting surface (IRS), active IRS is viewed as a more efficient promising technique to combat the double-fading impact in IRS-aided wireless network. In this paper, in order to boost the achievable rate of…

信号处理 · 电气工程与系统科学 2023-05-16 Yeqing Lin , Feng Shu , Rongen Dong , Riqing Chen , Siling Feng , Weiping Shi , Jing Liu , Jiangzhou Wang

Due to their passive nature and thus low energy consumption, intelligent reflecting surfaces (IRSs) have shown promise as means of extending coverage as a proxy for connection reliability. The relative locations of the base station (BS),…

信号处理 · 电气工程与系统科学 2023-05-08 Ehsan Tohidi , Sven Haesloop , Lars Thiele , Slawomir Stanczak

Due to its ability of breaking the double-fading effect experienced by passive intelligent reflecting surface (IRS), active IRS is evolving a potential technique for future 6G wireless networks. To fully exploit the amplifying gain achieved…

信号处理 · 电气工程与系统科学 2023-05-17 Feng Shu , Jing liu , Yeqing Lin , Yang Liu , Zhilin Chen , Xuehui Wang , Rongen Dong , Jiangzhou Wang

Intelligent reflecting surface (IRS) is a new and revolutionizing technology for achieving spectrum and energy efficient wireless networks. By leveraging massive low-cost passive elements that are able to reflect radio-frequency (RF)…

信息论 · 计算机科学 2019-11-12 Qingqing Wu , Rui Zhang

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

Intelligent reflecting surface (IRS) has drawn a lot of attention recently as a promising new solution to achieve high spectral and energy efficiency for future wireless networks. By utilizing massive low-cost passive reflecting elements,…

信息论 · 计算机科学 2022-10-17 Ming-Min Zhao , Qingqing Wu , Min-Jian Zhao , Rui Zhang

This paper proposes a new three-dimensional (3D) wireless passive relaying system enabled by aerial IRS (AIRS). Compared to the conventional terrestrial IRS, AIRS enjoys more deployment flexibility as well as wider-range signal reflection,…

信号处理 · 电气工程与系统科学 2020-11-30 Haiquan Lu , Yong Zeng , Shi Jin , Rui Zhang

Intelligent reflecting surface (IRS) can be densely deployed in wireless networks to significantly enhance the communication channels. In this letter, we consider the downlink transmission from a multi-antenna base station (BS) to a…

信息论 · 计算机科学 2022-02-16 Weidong Mei , Rui Zhang

Intelligent reflecting surface (IRS) is regarded as a revolutionary paradigm that can reconfigure the wireless propagation environment for enhancing the desired signal and/or weakening the interference, and thus improving the quality of…

信息论 · 计算机科学 2023-12-19 Xintong Chen , Jiangbin Lyu , Liqun Fu

In this letter, we consider a double-active-intelligent reflecting surface (IRS) aided wireless communication system, where two active IRSs are properly deployed to assist the communication from a base station (BS) to multiple users located…

信息论 · 计算机科学 2023-07-25 Zhenyu Kang , Changsheng You , Rui Zhang

The intelligent reflecting surface (IRS) is emphasized as a controlled scattering cluster. To this end, scatterers and traveling paths of multipath components are classified to build a new channel model. Unlike the conventional modeling,…

信号处理 · 电气工程与系统科学 2021-11-18 Musab Alayasra , Huseyin Arslan

Both passive and active intelligent reflecting surfaces (IRSs) can be deployed in complex environments to enhance wireless network coverage by creating multiple blockage-free cascaded line-of-sight (LoS) links. In this paper, we study a…

信号处理 · 电气工程与系统科学 2023-09-22 Min Fu , Weidong Mei , Rui Zhang

Intelligent reflecting surface (IRS) is a promising technology being considered for future wireless communications due to its ability to control signal propagation. This paper considers the joint active and passive beamforming problem for…

信号处理 · 电气工程与系统科学 2022-02-09 Fangzhou Wang , Hongbin Li , Jun Fang

Intelligent reflecting surface (IRS) is a promising technology for the 6th generation of wireless systems, realizing the smart radio environment concept. In this paper, we present a novel tensor-based receiver for IRS-assisted…

Intelligent reflecting surface (IRS) has been widely studied in recent years, it has emerged as a new technology which can reflect the incident signal by intelligently configuring the reflection elements, thus changing the signal…

信息论 · 计算机科学 2024-05-07 Jintao Luo , Sixing Yin

Intelligent reflecting surface (IRS) is a cost-efficient technique to improve power efficiency and spectral efficiency. However, IRS-aided multi-antenna transmission needs to jointly optimize the passive and active beamforming, imposing a…

信息论 · 计算机科学 2022-05-03 Wei Jiang , Hans Dieter Schotten

In this paper, we consider an intelligent reflecting surface (IRS)-aided single-user system where an IRS with discrete phase shifts is deployed to assist the uplink communication. A practical transmission protocol is proposed to execute…

信息论 · 计算机科学 2019-12-24 Changsheng You , Beixiong Zheng , Rui Zhang

Combining intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) is an effective solution to enhance communication coverage and energy efficiency. In this paper, we focus on an IRS-assisted NOMA network and propose…

信号处理 · 电气工程与系统科学 2020-09-14 Fang Fang , Yanqing Xu , Quoc-Viet Pham , Zhiguo Ding

Intelligent reflecting surface (IRS) has emerged as a key enabling technology to realize smart and reconfigurable radio environment for wireless communications, by digitally controlling the signal reflection via a large number of passive…

信息论 · 计算机科学 2022-02-02 Beixiong Zheng , Changsheng You , Weidong Mei , Rui Zhang

Integrated sensing and communication (ISAC) has attracted growing interests for enabling the future 6G wireless networks, due to its capability of sharing spectrum and hardware resources between communication and sensing systems. However,…

信息论 · 计算机科学 2025-01-27 Renwang Li , Xiaodan Shao , Shu Sun , Meixia Tao , Rui Zhang