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Intelligent reflecting surface (IRS) is an emerging technology that is able to significantly improve the performance of wireless communications, by smartly tuning signal reflections at a large number of passive reflecting elements. On the…

信号处理 · 电气工程与系统科学 2023-02-14 Xiaodan Shao , Changsheng You , Rui Zhang

Prior studies on intelligent reflecting surface (IRS) have mostly considered wireless communication systems aided by a single passive IRS, which, however, has limited control over wireless propagation environment and suffers from…

信息论 · 计算机科学 2022-08-26 Yunpu Zhang , Changsheng You

Intelligent reflecting surfaces (IRSs) are a promising technology for enhancing coverage and spectral efficiency, both in the sub-6 GHz and the millimeter wave (mmWave) bands. Existing approaches to leverage the benefits of IRS involve the…

信息论 · 计算机科学 2023-07-03 L. Yashvanth , Chandra R. Murthy

In this paper, an intelligent reflecting surface (IRS)-aided two-way decode-and-forward (DF) relay wireless network is considered, where two users exchange information via IRS and DF relay. To enhance the sum rate performance, three power…

信息论 · 计算机科学 2022-03-29 Xuehui Wang , Peng Zhang , Feng Shu , Weiping Shi , Jiangzhou Wang

Intelligent Reflecting Surface (IRS) is a promising technology for next generation wireless networks. Despite substantial research in IRS-aided communications, the assumed antenna and channel models are typically simplified without…

信息论 · 计算机科学 2024-05-07 Dongsheng Fu , Xintong Chen , Jiangbin Lyu , Liqun Fu

In this paper, we propose to utilize intelligent reflecting surfaces (IRSs) for enhancing the physical layer security of wireless communications systems. In particular, an IRS-assisted secure wireless system is considered, where a…

信息论 · 计算机科学 2020-02-26 Xianghao Yu , Dongfang Xu , Robert Schober

Although the fifth-generation (5G) technologies will significantly improve the spectrum and energy efficiency of today's wireless communication networks, their high complexity and hardware cost as well as increasingly more energy…

信息论 · 计算机科学 2019-09-02 Qingqing Wu , Rui Zhang

Intelligent reflecting surface (IRS) is a promising technology for achieving high spectrum efficiency in future wireless networks by leveraging massive low-cost reflecting elements with each reflecting the incident signal with a proper…

信息论 · 计算机科学 2018-10-29 Qingqing Wu , 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

Compute-and-forward is a promising strategy to tackle interference and obtain high rates between the transmitting users in a wireless network. However, the quality of the wireless channels between the users substantially limits the…

信息论 · 计算机科学 2021-06-25 Mahdi Jafari Siavoshani , Seyed Pooya Shariatpanahi , Naeimeh Omidvar

This paper investigates intelligent reflecting surface (IRS)-aided multi-antenna wireless powered communications in a multi-link interference channel, where multiple IRSs are deployed to enhance the downlink/uplink communications between…

信息论 · 计算机科学 2024-07-31 Ying Gao , Qingqing Wu , Wen Chen

Intelligent Reflecting Surface (IRS) is envisioned to be a promising green and cost-effective solution to enhance wireless network performance by smartly reconfiguring the signal propagation. In this paper, we study an IRS-aided…

网络与互联网体系结构 · 计算机科学 2020-12-25 Xu Huaqiang , Zhang Guodong , Zhao Jun , Quoc-Viet Pham

In this paper, we investigate resource allocation algorithm design for intelligent reflecting surface (IRS)-assisted multiuser cognitive radio (CR) systems. In particular, an IRS is deployed to mitigate the interference caused by the…

信息论 · 计算机科学 2020-03-03 Dongfang Xu , Xianghao Yu , Robert Schober

This paper considers an active intelligent reflecting surface (IRS)-aided wireless powered communication network (WPCN), where devices first harvest energy and then transmit information to a hybrid access point (HAP). Different from the…

信息论 · 计算机科学 2022-01-12 Piao Zeng , Deli Qiao , Qingqing Wu , Yuan Wu

Intelligent reflecting surface (IRS) is a new and revolutionary technology capable of reconfiguring the wireless propagation environment by controlling its massive low-cost passive reflecting elements. Different from prior works that focus…

信息论 · 计算机科学 2021-11-05 Bifeng Ling , Jiangbin Lyu , Liqun Fu

Intelligent reflecting surface (IRS) assisted unmanned aerial vehicle (UAV) systems provide a new paradigm for reconfigurable and flexible wireless communications. To enable more energy efficient and spectrum efficient IRS assisted UAV…

系统与控制 · 电气工程与系统科学 2025-10-22 Yiheng Wang

In this paper, the feasibility of adopting an intelligent reflective surface (IRS) in a cell-free wireless communication system is studied. The received signal-to-noise ratio (SNR) for this IRS-enabled cell-free set-up is optimized by…

信号处理 · 电气工程与系统科学 2021-09-28 Diluka Loku Galappaththige , Dhanushka Kudathanthirige , Gayan Amarasuriya

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

Intelligent reflecting surface (IRS) is a new promising technology that is able to reconfigure the wireless propagation channel via smart and passive signal reflection. In this paper, we investigate the capacity region of a two-user…

信息论 · 计算机科学 2021-07-12 Shuowen Zhang , Rui Zhang

Cognitive radio (CR) is an effective solution to improve the spectral efficiency (SE) of wireless communications by allowing the secondary users (SUs) to share spectrum with primary users. Meanwhile, intelligent reflecting surface (IRS),…

信号处理 · 电气工程与系统科学 2019-12-24 Jie Yuan , Ying-Chang Liang , Jingon Joung , Gang Feng , Erik G. Larsson