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In this paper, intelligent reflecting surface (IRS) is proposed to enhance the physical layer security in the Rician fading channel where the angular direction of the eavesdropper is aligned with a legitimate user. In this scenario, we…

信号处理 · 电气工程与系统科学 2021-06-29 Gui Zhou , Cunhua Pan , Hong Ren , Kezhi Wang , Kok Keong Chai , Kai-Kit Wong

In this paper, we investigate the integration of integrated sensing and communication (ISAC) and reconfigurable intelligent surfaces (RIS) for providing wide-coverage and ultra-reliable communication and high-accuracy sensing functions. In…

信号处理 · 电气工程与系统科学 2025-02-17 Rang Liu , Ming Li , Qian Liu , A. Lee Swindlehurst

Intelligent reflecting surface (IRS) has recently been identified as a prominent technology with the ability of enhancing wireless communication by dynamically manipulating the propagation environment. This paper investigates a…

信息论 · 计算机科学 2020-09-15 Yuwei Gao , Jindan Xu , Wei Xu , Derrick Wing Kwan Ng , Mohamed Slim Alouini

In this letter, an intelligent reflecting surface (IRS) enhanced full-duplex MIMO two-way communication system is studied. The system sum rate is maximized through jointly optimizing the source precoders and the IRS phase shift matrix.…

信号处理 · 电气工程与系统科学 2020-03-03 Yu Zhang , Caijun Zhong , Zhaoyang Zhang , Weidang Lu

In opportunistic cognitive radio networks, when the primary signal is very weak compared to the background noise, the secondary user requires long sensing time to achieve a reliable spectrum sensing performance, leading to little remaining…

信息论 · 计算机科学 2024-04-29 Jungang Ge , Ying-Chang Liang , Sumei Sun , Yonghong Zeng , Zhidong Bai

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

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

Intelligent reflecting surface (IRS) has become a promising technology to aid next generation wireless communication systems. In this paper, we develop an alternating beamforming technique with a novel concept of IRS element allocation for…

信息论 · 计算机科学 2022-06-28 Hyesang Cho , Junil Choi

Intelligent reflecting surface (IRS) is envisioned to change the paradigm of wireless communications from "adapting to wireless channels" to "changing wireless channels". However, current IRS configuration schemes, consisting of sub-channel…

信号处理 · 电气工程与系统科学 2022-05-12 Wei Wang , Wei Zhang

This paper investigates an intelligent reflective surface (IRS) assisted secure multi-user two-way communication system. The aim of this paper is to enhance the physical layer security by optimizing the minimum secrecy-rate among all…

Integrated sensing and communication (ISAC) is expected to be offered as a fundamental service in the upcoming sixth-generation (6G) communications standard. However, due to the exposure of information-bearing signals to the sensing…

信号处理 · 电气工程与系统科学 2023-05-09 Vaibhav Kumar , Marwa Chafii , A. Lee Swindlehurst , Le-Nam Tran , Mark F. Flanagan

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 letter, we study the wireless point-to-point communication from a transmitter (Tx) to a receiver (Rx), which is jointly aided by an active intelligent reflecting surface (AIRS) and a passive IRS (PIRS). We consider two practical…

信号处理 · 电气工程与系统科学 2023-01-02 Min Fu , Rui 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

In this paper, we study the resource allocation for an intelligent reflecting surface (IRS)-assisted uplink system, where the base station is equipped with multiple antennas. We propose to jointly optimize the transmit power of the users,…

信息论 · 计算机科学 2020-07-21 M Zeng , E. B. Mohamed , O. A. Dobre , P. Fortier , Q. V. Pham

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 new paradigm to achieve high spectral and energy efficiency for future wireless networks by reconfiguring the wireless signal propagation via passive reflection. To reap the potential…

信息论 · 计算机科学 2022-10-26 Ming-Min Zhao , Qingqing Wu , Min-Jian Zhao , Rui Zhang

Inspired by recent developments in full-duplex communications, we propose and study new modes of operation for cognitive radios with the goal of achieving improved primary user (PU) detection and/or secondary user (SU) throughput.…

网络与互联网体系结构 · 计算机科学 2013-05-28 Wessam Afifi , Marwan Krunz

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 study an intelligent reflecting surface (IRS)-aided wireless secure communication system for physical layer security, where an IRS is deployed to adjust its surface reflecting elements to guarantee secure communication of…

信号处理 · 电气工程与系统科学 2020-12-25 Helin Yang , Zehui Xiong , Jun Zhao , Dusit Niyato , Liang Xiao , Qingqing Wu
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