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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 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

In this paper, we introduce an intelligent reflecting surface (IRS) to provide a programmable wireless environment for physical layer security. By adjusting the reflecting coefficients, the IRS can change the attenuation and scattering of…

信号处理 · 电气工程与系统科学 2019-06-21 Jie Chen , Ying-Chang Liang , Yiyang Pei , Huayan Guo

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

A dual-polarized intelligent reflecting surface (IRS) can contribute to a better multiplexing of interfering wireless users. In this paper, we use this feature to improve the performance of dual-polarized massive multiple-input…

Intelligent reflecting surface (IRS) has emerged as an enabling technology to achieve smart and reconfigurable wireless communication environment cost-effectively. Prior works on IRS mainly consider its passive beamforming design and…

信息论 · 计算机科学 2021-03-12 Beixiong Zheng , Changsheng You , Rui Zhang

Intelligent reflecting surface (IRS), which consists of a large number of tunable reflective elements, is capable of enhancing the wireless propagation environment in a cellular network by intelligently reflecting the electromagnetic waves…

信号处理 · 电气工程与系统科学 2021-06-10 Tao Jiang , Hei Victor Cheng , Wei Yu

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

In this paper, we study an intelligent reflecting surface (IRS)-assisted system where a multi-antenna base station (BS) serves a single-antenna user with the help of a multi-element IRS in the presence of interference generated by a…

信息论 · 计算机科学 2020-09-25 Yuhang Jia , Chencheng Ye , Ying Cui

This paper investigates a downlink multiple-input single-output intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) system, where a base station (BS) serves multiple users with the aid of IRSs. Our goal is to…

信号处理 · 电气工程与系统科学 2020-11-12 Xidong Mu , Yuanwei Liu , Li Guo , Jiaru Lin , Naofal Al-Dhahir

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 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

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) 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

Intelligent reflecting surfaces (IRSs) constitute passive devices, which are capable of adjusting the phase shifts of their reflected signals, and hence they are suitable for passive beamforming. In this paper, we conceive their design with…

信号处理 · 电气工程与系统科学 2021-06-03 Chenghao Feng , Wenqian Shen , Xinyu Gao , Jianping An

In cognitive radio (CR) communication systems, achieving high secondary user (SU) rate in the presence of strong cross-link interference with the primary user (PU) is challenging. In this letter, we exploit the emerging intelligent…

信息论 · 计算机科学 2020-03-10 Xinrong Guan , Qingqing Wu , Rui 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

In this paper, the adoption of an intelligent reflecting surface (IRS) for multiple single-antenna source terminal (ST)-DT pairs in two-hop networks is investigated. Different from the previous studies on IRS that merely focused on tuning…

信息论 · 计算机科学 2020-10-01 Yulan Gao , Chao Yong , Zehui Xiong , Jun Zhao , Yue Xiao , Dusit Niyato

Intelligent reflecting surface (IRS) is a promising solution to build a programmable wireless environment for future communication systems. In practice, an IRS consists of massive low-cost elements, which can steer the incident signal in…

信号处理 · 电气工程与系统科学 2019-05-31 Huayan Guo , Ying-Chang Liang , Jie Chen , Erik G. Larsson

Intelligent reflecting surface (IRS) has become a cost-effective solution for constructing a smart and adaptive radio environment. Most previous works on IRS have jointly designed the active and passive precoding based on perfectly or…

信息论 · 计算机科学 2024-09-24 Beixiong Zheng , Tiantian Ma , Jie Tang , Changsheng You , Shaoe Lin , Kai-Kit Wong