Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing

Guan, Xinrong; Wu, Qingqing; Zhang, Rui

doi:10.1109/lcomm.2020.2979709

Cited by 162 publications

(75 citation statements)

References 17 publications

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“…Recent researches on the capacity optimization of IRS-aided communication system mainly focus on jointly optimizing the active beamforming at the transmitter and the passive beamforming at the IRS [118,[125][126][127][128][129][130]. Specifically, a locally optimal solution for the achievable rate maximization problem can be obtained by iteratively optimizing one matrix variable (i.e.…”

Section: Capacity Optimizationmentioning

confidence: 99%

“…the active beamforming matrix or the phase shift matrix of the IRS) with the other matrix variable that is fixed [126]. The prior works in [118,[125][126][127][128] all consider that the IRS uses the continuous phase shift. However, the reflecting elements with continuous phase shifts are practically difficult to implement due to the complex hardware design, and definitely result in much higher system cost.…”

Section: Capacity Optimizationmentioning

confidence: 99%

“…Specifically, the ability of the IRS fulfills the concepts of beamforming and beam tracking. With respect to the beam control, although the beamforming technique for the IRS assisted communication system is extensively studied in [118,[125][126][127][128][129][130], the beam tracking technique, which requires the dynamic CSI acquisition between the IRS and the mobile station (MS), is still a major challenge for IRS assisted THz communications due to the passive reflecting elements at IRS side. As shown in Figure 9, a typical IRS-aided beam tracking scenario is presented, where a BS serves a MS via the IRS.…”

Section: Beam Controlmentioning

confidence: 99%

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Towards intelligent reflecting surface empowered 6G terahertz communications: A survey

et al. 2021

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Terahertz (THz) communications have been widely envisioned as a promising enabler to provide adequate bandwidth and achieve ultra-high data rates for sixth generation (6G) wireless networks. In order to mitigate blockage vulnerability caused by serious propagation attenuation and poor diffraction of THz waves, an intelligent reflecting surface (IRS), which manipulates the propagation of incident electromagnetic waves in a programmable manner by adjusting the phase shifts of passive reflecting elements, is proposed to create smart radio environments, improve spectrum efficiency and enhance coverage capability. Firstly, some prospective application scenarios driven by the IRS empowered THz communications are introduced, including wireless mobile communications, secure communications, unmanned aerial vehicle (UAV) scenario, mobile edge computing (MEC) scenario and THz localization scenario. Then, we discuss the enabling technologies employed by the IRS empowered THz system, involving hardware design, channel estimation, capacity optimization, beam control, resource allocation and robustness design. Moreover, the arising challenges and open problems encountered in the future IRS empowered THz communications are also highlighted. Concretely, these emerging problems possibly originate from channel modeling, new material exploration, experimental IRS testbeds and intensive deployment. Ultimately, the combination of THz communications and IRS is capable of accelerating the

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Section: Capacity Optimizationmentioning

confidence: 99%

Section: Capacity Optimizationmentioning

confidence: 99%

Section: Beam Controlmentioning

confidence: 99%

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Towards intelligent reflecting surface empowered 6G terahertz communications: A survey

et al. 2021

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“…CR is an effective solution to improve spectrum utilization by allowing the unlicensed SUs to share the spectrum with licensed PUs [178]. Also, RIS has been proposed as a promising approach to enhance Energy Efficiency (EE), achievable rate of the secondary system, physical layer security, resource allocation and spectrum sensing problems of CR networks through intelligently controlling the channel environment [23], [178], [180] - [183]. Also, the integration of RIS in CR networks has the potential to provide robustness against imperfect CSI.…”

Section: B Ris-aided Cognitive Radio Systemsmentioning

confidence: 99%

“…The authors jointly optimized the BS Transmit Precoding (TPC) matrix and IRS reflection coefficients subject to transmit power and unit-modulus constraints. On the other hand, in [23], the authors also proved numerically that IRS can maximize the Secondary User (SU) rate in the presence of strong cross-link Primary User (PU) interference in Cognitive Radio (CR) systems. By jointly optimizing the IRS continuous phase shifts and the SU transmit power subject to the PU link target SINR.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Munochiveyi

Pogaku

Do³

et al. 2021

IEEE Access

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Reconfigurable intelligent surface (RIS)-aided communication is considered as an exciting research topic in academic and industrial communities since it provides an emerging affordable solution to achieve high quality and secure next-generation wireless systems. Especially, the deployment of RIS in multi-user wireless networks promises to reduce system hardware costs, signal processing complexity, as well as energy consumption due to small size, lightweight and ability to actively shape the wireless propagation environment. Further, by realizing a cost-effective radio environment, RIS-aided communication can be implemented to be an appealing technology for future integration with other emerging wireless applications and communication systems. Despite the positive appeal, RISs face new challenges that hinder integrating efficiently into wireless networks, such as network secrecy performance and system sum-rates, as well as achieving efficient deployment design in highly dynamic and time-varying wireless environments. To this end, we overview recent state-of-the-art techniques to address the above issues faced in the integration of RISs with various emerging multi-user communication techniques, such as Unmanned Aerial Vehicles (UAVs), Non-Orthogonal Multiple Access (NOMA), Millimeter Wave (mmWave) and Terahertz (THz) communications, Physical Layer Security (PLS), massive antennas, and Simultaneous Wireless Information and Power Transfer (SWIPT). Finally, we highlight promising future research directions of RIS-aided communication in Cell-Free Massive Multiple-Input-Multiple-Output (MIMO) systems, Rate-Splitting Multiple Access (RSMA), Light Fidelity (LiFi), and Cognitive Radio (CR) systems.

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Maximizing the energy efficiency in intelligent reflecting surface‐aided unmanned aerial vehicle data collection system in presence of malicious jammers

Zhi

2022

Trans Emerging Tel Tech

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In this article, intelligent reflecting surface (IRS) aided an unmanned aerial vehicle (UAV) data collection system is investigated, where an IRS is deployed to assist in the communication from a cluster of Internet‐of‐Things (IoT) devices to a UAV in the presence of a jammer. We aim to improve the energy efficiency (EE) via the joint design of UAV trajectory, IRS passive beamforming, device power allocation and communication scheduling. However, the formulated nonlinear fractional programming problem is challenging to solve due to its nonconvexity and coupled variables. To overcome the difficulty, we propose an alternating optimization based algorithm to solve it sub‐optimally by leveraging the Dinkelbach's algorithm, successive convex approximation (SCA) technique, and block coordinate descent (BCD) method. Extensive simulation results show that the proposed design can significantly improve the anti‐jamming performance. In particular, for the remote jammer case, the proposed design can largely shorten the flight path and thus decrease the energy consumption via the signal enhancement; while for the local jammer case, which is deemed highly challenging in conventional systems without IRS since the retreating away strategy becomes ineffective, our proposed design even achieves a higher performance gain owing to the efficient jamming signal mitigation.

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Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing

Cited by 162 publications

References 17 publications

Towards intelligent reflecting surface empowered 6G terahertz communications: A survey

Towards intelligent reflecting surface empowered 6G terahertz communications: A survey

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Maximizing the energy efficiency in intelligent reflecting surface‐aided unmanned aerial vehicle data collection system in presence of malicious jammers

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