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相关论文: MIMO Assisted Networks Relying on Intelligent Refl…

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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

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 Surface (IRS) has been recently proposed as a promising solution to enhance the spectral and energy efficiency of future wireless networks by tuning a massive number of low-cost passive reflecting elements and thereby…

信息论 · 计算机科学 2020-02-27 Jiangbin Lyu , Rui Zhang

In this paper, we consider a multi-user multiple-input multiple-output (MIMO) system aided by multiple intelligent reflecting surfaces (IRSs) that are deployed to increase the coverage and, possibly, the rank of the channel. We propose an…

信息论 · 计算机科学 2020-12-22 Andrea Abrardo , Davide Dardari , Marco Di Renzo

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

This letter presents a detailed performance analysis of the intelligent reflecting surface (IRS) aided single-input single-output communication systems, taking into account of the direct link between the transmitter and receiver. A…

信息论 · 计算机科学 2020-08-04 Qin Tao , Junwei Wang , Caijun Zhong

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 a potential candidate for massive multiple-input multiple-output (MIMO) 2.0 technology due to its low cost, ease of deployment, energy efficiency and extended coverage. This chapter investigates the…

信号处理 · 电气工程与系统科学 2026-02-24 Yashuai Cao , Hetong Wang , Tiejun Lv , Wei Ni

Intelligent reflecting surfaces (IRSs) are promising enablers for high-capacity wireless communication systems by constructing favorable channels between the transmitter and receiver. However, general, accurate, and tractable outage…

信息论 · 计算机科学 2022-09-14 Xin Zhang , Xianghao Yu , S. H. Song

Intelligent reflecting surface (IRS) is a new and promising paradigm to substantially improve the spectral and energy efficiency of wireless networks, by constructing favorable communication channels via tuning massive low-cost passive…

信息论 · 计算机科学 2021-05-18 Jiangbin Lyu , Rui Zhang

A statistical characterization of the fundamental performance bounds of an intelligent reflective surface (IRS) intended for aiding wireless communications is presented. To this end, the outage probability, average symbol error probability,…

信号处理 · 电气工程与系统科学 2020-02-14 Dhanushka Kudathanthirige , Dulaj Gunasinghe , Gayan Amarasuriya

The concept of intelligent reflecting surfaces (IRSs) is considered as a promising technology for increasing the efficiency of mobile wireless networks. This is achieved by employing a vast amount of low-cost individually adjustable passive…

网络与互联网体系结构 · 计算机科学 2020-12-01 Kevin Weinberger , Alaa Alameer Ahmad , Aydin Sezgin

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

Intelligent reflecting surfaces (IRSs) are regarded as key enablers of next-generation wireless communications, due to their capability of customizing the wireless propagation environment. In this paper, we investigate power-efficient…

信息论 · 计算机科学 2020-05-15 Xianghao Yu , Dongfang Xu , Derrick Wing Kwan Ng , Robert Schober

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

Intelligent reflecting surface (IRS) has emerged as a promising technique to enhance wireless communication performance cost effectively. The existing literature has mainly considered IRS being deployed near user terminals to improve their…

信息论 · 计算机科学 2022-05-27 Yuwei Huang , Weidong Mei , Rui Zhang

Intelligent reflecting surfaces (IRSs) have recently attracted the attention of communication theorists as a means to control the wireless propagation channel. It has been shown that the signal-to-noise ratio (SNR) of a single-user…

信号处理 · 电气工程与系统科学 2019-11-12 Emil Björnson , Luca Sanguinetti

Intelligent reflecting surface (IRS) is a promising technology to enhance the coverage and performance of wireless networks. We consider the application of IRS to non-orthogonal multiple access (NOMA), where a base station transmits…

信息论 · 计算机科学 2021-01-29 Xinwei Yue , Yuanwei Liu

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

In this paper, we investigate an intelligent reflecting surface (IRS) assisted cell-free multiple input multiple output (MIMO) communication system, where distributed multiple IRSs are dedicated deployed to assist distributed multiple base…

信息论 · 计算机科学 2021-08-18 Xie Xie , Chen He , Xiaoya Li , Kun Yang , Z. Jane Wang
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