Literatura académica sobre el tema "Reconfigurable Intelligent Surfaces (RIS)"
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Artículos de revistas sobre el tema "Reconfigurable Intelligent Surfaces (RIS)"
Wang, Wenhe y Kang Song. "Hybrid Active–Passive Reconfigurable Intelligent Surface for Cooperative Transmission Systems". Applied Sciences 14, n.º 1 (27 de diciembre de 2023): 231. http://dx.doi.org/10.3390/app14010231.
Texto completoRana, Biswarup, Sung-Sil Cho y Ic-Pyo Hong. "Parameters and Measurement Techniques of Reconfigurable Intelligent Surfaces". Micromachines 13, n.º 11 (27 de octubre de 2022): 1841. http://dx.doi.org/10.3390/mi13111841.
Texto completoNi, Li, Yonggang Zhu y Wenlong Guo. "Controllable Multiple Active Reconfigurable Intelligent Surfaces Assisted Anti-Jamming Communication". Electronics 12, n.º 18 (18 de septiembre de 2023): 3933. http://dx.doi.org/10.3390/electronics12183933.
Texto completoNguyen, Nhan Duc, Minh-Sang Van Nguyen y Munyaradzi Munochiveyi. "Empowering Reconfigurable Intelligent Surfaces for Security of Downlink NOMA". Wireless Communications and Mobile Computing 2022 (25 de mayo de 2022): 1–15. http://dx.doi.org/10.1155/2022/1498918.
Texto completoUmaMaheswari, Kaveti, Arjun Chakravarthi Pogaku, Dinh-Thuan Do, Anh-Tu Le y Munyaradzi Munochiveyi. "Improving Performance of User Pair Using Reconfigurable Intelligent Surfaces". Wireless Communications and Mobile Computing 2021 (23 de diciembre de 2021): 1–12. http://dx.doi.org/10.1155/2021/2036778.
Texto completoLiu, Yiping, Jianwu Dou, Yijun Cui, Yijian Chen, Jun Yang, Fan Qin y Yuxin Wang. "Reconfigurable Intelligent Surface Physical Model in Channel Modeling". Electronics 11, n.º 17 (5 de septiembre de 2022): 2798. http://dx.doi.org/10.3390/electronics11172798.
Texto completoPatra, Radhashyam y Arunanshu Mahapatro. "Reconfigurable Intelligent Surface-based Propagation Control in FBMC/OQAM Systems". Journal of Telecommunications and Information Technology, n.º 1 (28 de febrero de 2024): 83–90. http://dx.doi.org/10.26636/jtit.2024.1.1326.
Texto completoDemmer, David, Francesco Foglia Manzillo, Samara Gharbieh, Maciej Śmierzchalski, Raffaele D’Errico, Jean-Baptiste Doré y Antonio Clemente. "Hybrid Precoding Applied to Multi-Beam Transmitting Reconfigurable Intelligent Surfaces (T-RIS)". Electronics 12, n.º 5 (27 de febrero de 2023): 1162. http://dx.doi.org/10.3390/electronics12051162.
Texto completoRana, Biswarup, Sung-Sil Cho y Ic-Pyo Hong. "Passive Type Reconfigurable Intelligent Surface: Measurement of Radiation Patterns". Micromachines 14, n.º 4 (5 de abril de 2023): 818. http://dx.doi.org/10.3390/mi14040818.
Texto completoGoh, Chi Yen, Chee Yen Leow y Rosdiadee Nordin. "Energy Efficiency of Unmanned Aerial Vehicle with Reconfigurable Intelligent Surfaces: A Comparative Study". Drones 7, n.º 2 (31 de enero de 2023): 98. http://dx.doi.org/10.3390/drones7020098.
Texto completoTesis sobre el tema "Reconfigurable Intelligent Surfaces (RIS)"
Liu, Yicong. "A Dynamic Subarray Structure in Reconfigurable Intelligent Surfaces for TeraHertz Communication Systems". Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29611.
Texto completoMohamed, Abdelhamed. "Optimization Techniques for Reconfigurable Intelligent Surfaces Assisted Wireless Networks". Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPAST137.
Texto completoRecently, the emergence of reconfigurable intelligent surface (RIS) has attracted heated attention from both industry and academia. An RIS is a planar surface that consists of a large number of low-cost passive reflecting elements. By carefully adjusting the phase shifts of the reflecting elements, an RIS can reshape the wireless environment for better communication. In general, this thesis provides contributions on: (i) the performance of RISs based on accurate and realistic electromagnetic reradiation models. Moreover, it provides some of optimization frameworks for enhancing the communication system performance on the following two use case: (i) To jointly improves the information rate and the amount of harvested power in a RIS-aided MISO downlink multiuser wireless network. (ii) enhancing spectral efficiency for large number of users located on cell edge or on the other side of the RIS by utilizing the intelligent omni-surfaces (IOSs).Chapter 1 introduces the challenges of fulfilling the requirements of of 6G networks, the concept of smart radio environments and RIS as it is one of the enabling technologies. In future communications, RIS is a key technique that will have potential applications which will achieve seamless connectivity and less energy consumption at the same time. Chapter 2 also introduces the state-of-art optimization techniques developed for RIS-aided systems. Firstly, it introduces the system models of RIS-aided MIMO systems and then investigates the reflection principle of RISs. In addition, it introduces the Optimization techniques challenges of RIS-assisted systems. Also, the proposed optimization techniques for designing the continuous and discrete phase shifts are presented in detail. Chapter 3 studies the impact of realistic reradiation models for RISs as a function of the sub-wavelength inter-distance between nearby elements of the RIS, the quantization levels of the reflection coefficients, the interplay between the amplitude and phase of the reflection coefficients, and the presence of electromagnetic interference. In conclusion, our study shows that, due to design constraints, such as the need to use quantized reflection coefficients or the inherent interplay between the phase and the amplitude of the reflection coefficients, a RIS may reradiate power towards unwanted directions that depend on the intended and interfering electromagnetic waves. Chapter 4 considers the problem of simultaneously optimizing the information rate and the harvested power in a reconfigurable intelligent surface (RIS)-aided MISO downlink multiuser wireless network with simultaneous wireless information, and power transfer (SWIPT) is addressed. A practical algorithm is developed through an interplay of alternating optimization, sequential optimization, and pricing-based methods. Chapter 5 proposes an optimization algorithm that has a rapid convergence rate in a few iterations for maximizing the sum rate in IOS-aided MIMO broadcast channels, which can be exploited to serve the cell-edge user and enhance network coverage. This work's distinguishable feature lies in considering that the reflection and transmission coefficients of an IOS are tightly coupled. Finally, Chapter 6 summarizes the main findings of the thesis and discusses possible future directions that are worth investigating to unlock the full potential of RIS and bring it into practice
Giorgini, Giacomo. "Channel estimation schemes in the presence of reconfigurable intelligent surfaces". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22878/.
Texto completoLiu, Jiang. "Wireless Communications Assisted by Reconfigurable Intelligent Surfaces". Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG111.
Texto completoRecently, the emergence of reconfigurable intelligent surface (RIS) has attracted heated attention from both industry and academia. A RIS is a planar surface that consists of a large number of low-cost passive reflecting elements. By carefully adjusting the phase shifts of the reflecting elements, an RIS can reshape the wireless environment for better communication. In this thesis, we focus on two subjects: (i) To study the modeling and optimization of RIS-aided communication systems. (ii) To study RIS-aided spatial modulation, especially the detection using deep learning techniques. Chapter 1 introduces the concept of smart radio environments and RIS. In 5G and future communications, RIS is a key technique to achieve seamless connectivity and less energy consumption at the same time. Chapter 2 introduces RIS-aided communication systems. The reflection principle, channel estimation problem and system design problem are introduced in detail. State-of-the-art research on the problems of channel estimation and system design are overviewed. Chapter 3 investigates the distribution of the signal-to-noise ratio (SNR) as a random variable in an RIS-aided multiple-input multiple-output (MIMO) system. Rayleigh fading and line-of-sight propagation are considered separately. The theoretical derivation and numerical simulation prove that the SNR is equivalent in distribution to the product of three (Rayleigh fading) or two (line-of-sight propagation) independent random variables. Chapter 4 studies the behavior of interference in an RIS-aided MIMO system, where each base station serves a user equipment (UE) through an RIS. The interference at a UE is caused by its non-serving RIS. It is proven that the interference-to-noise ratio is equivalent in distribution to the product of a Chi-squared random variable and a random variable which can be approximated with a Gamma distribution. Chapter 5 focuses on RIS-aided spatial modulation. First, we introduce deep learning aided detection for MIMO systems. Then, by generalizing RIS-aided spatial modulation systems as a special case of traditional spatial modulation systems, we investigate deep learning based detection for RIS-aided spatial modulation systems. Numerical results validate the proposed data-based and model-based deep learning detection schemes for RIS-aided spatial modulation systems. Finally, Chapter 6 concludes the thesis and discusses possible future research directions
Danufane, Fadil. "Wireless communications assisted by reconfigurable intelligent surfaces : an electromagnetic model". Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG038.
Texto completoThe emergence of smart radio environment (SRE) as a new paradigm that challenges the status quo in wireless communication has motivated the use of metasurface-based reconfigurable intelligent surface (RIS) to improve the performance limits in wireless communication systems. The main focus of this thesis is the modeling of reconfigurable intelligent surfaces (RIS)-aided communication systems using electromagnetic based methods.Chapter 1 introduces the concept of smart radio environment. We also give the definition of RIS and how RIS can be used in context of SRE. To give some historical perspectives, we also discuss several important milestone papers throughout the development of research activities that lead to the current state of the art.Chapter 2 introduces theoretical concepts that are necessary to understand the results in the subsequent chapters. This chapter is divided into two parts. The first part discusses the metasurfaces modeling where we move from a physics-based microscopic description of a metasurface and introduces a macroscopic representation for it, which is shown to be suitable for application in wireless communications. The second part introduces several analytical approaches that allow us to compute the EM field at any point of a given volume that contains the metasurface.Chapter 3 provides a performance comparison between RISs operating as anomalous reflectors and a decode-and-forward relaying scheme that is representative of competing candidate technologies to realize SREs. The comparison is qualitative and covers multitude metrics. Furthermore, a quantitative comparison in terms of achievable data rates is presented. In particular, the numerical results show that sufficiently large RISs can outperform relay-aided systems in terms of data rate, while reducing the implementation complexity.Chapter 4 proposes an electromagnetic-based analytical characterization of the free-space path-loss of a wireless link in the presence of a RIS that is modeled as a two-dimensional homogenized metasurface made of sub-wavelength scattering elements and that operate either in reflection or transmission mode. The analytical method of physical optics is employed. Closed-form expressions are also obtained in two asymptotic regimes that are representative of far-field and near-field deployments. Based on the proposed approach, the impact of several design parameters and operating regimes is unveiled.Finally, Chapter 5 summarizes the main findings of the thesis and discusses possible future directions that are worth investigating to unlock the full potential of RIS and bring it into practice
Song, Jian. "A Stochastic Geometry Approach to the Analysis and Optimization of Cellular Networks". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS545.
Texto completoThe main focus of this thesis is on modeling, performance evaluation and system-level optimization of next-generation cellular networks by using stochastic geometry. In addition, the emerging technology of Reconfigurable Intelligent Surfaces (RISs) is investigated for application to future wireless networks. In particular, relying on a Poisson-based abstraction model for the spatial distribution of nodes and access points, this thesis develops a set of new analytical frameworks for the computation of important performance metrics, such as the coverage probability and potential spectral efficiency, which can be used for system-level analysis and optimization. More specifically, a new analytical methodology for the analysis of three-dimensional cellular networks is introduced and employed for system optimization. A novel resource allocation problem is formulated and solved by jointly combining for the first time stochastic geometry and mixed-integer non-linear programming. The impact of deploying intelligent reflecting surfaces throughout a wireless network is quantified with the aid of line point processes, and the potential benefits of RISs against relaying are investigated with the aid of numerical simulations
Mursia, Placido. "Multi-antenna methods for scalable beyond-5G access networks". Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS532.
Texto completoThe exponential increase of wireless user equipments (UEs) and network services associated with current 5G deployments poses several unprecedented design challenges that need to be addressed with the advent of future beyond-5G networks and novel signal processing and transmission schemes. In this regard, massive MIMO is a well-established access technology, which allows to serve many tens of UEs using the same time-frequency resources. However, massive MIMO exhibits scalability issues in massive access scenarios where the UE population is composed of a large number of heterogeneous devices. In this thesis, we propose novel scalable multiple antenna methods for performance enhancement in several scenarios of interest. Specifically, we describe the fundamental role played by statistical channel state information (CSI) that can be leveraged for reduction of both complexity and overhead for CSI acquisition, and for multiuser interference suppression. Moreover, we exploit device-to-device communications to overcome the fundamental bottleneck of conventional multicasting. Lastly, in the context of millimiter wave communications, we explore the benefits of the recently proposed reconfigurable intelligent surfaces (RISs). Thanks to their inherently passive structure, RISs allow to control the propagation environment and effectively counteract propagation losses and substantially increase the network performance
Praia, João Miguel Rocha. "Um projeto de sistema de comunicações com reconhecimento de contexto para a banda THz". Master's thesis, 2021. http://hdl.handle.net/10071/24172.
Texto completoTerahertz (THz)-band communications are considered a crucial technology for ultrahigh data rate transmission in future-generation wireless communication systems. The extensive available bandwidths at THz frequencies come at the cost of severe propagation losses and power limitations, which results in very short communication distances. Reconfigurable intelligent surfaces are a promising technology to overcome this limitation as they can be used to shape THz waves by adequately adjusting the phase shifts. This dissertation focuses on the study of an effective system for THz wireless communications environment. In this dissertation, we design a RIS-assisted ultra-massive multiple-input multiple-output (UM-MIMO) wireless communication system. To maximize the achievable rate of the system, while coping with the large problem setting that is typical in RIS-aided UM-MIMO systems, a low complexity accelerated proximal gradient (APG) algorithm is developed for computing the phase-shifts of the RIS elements. We also consider the adoption of hybrid precoding which is necessary for viable UM-MIMO THz implementations and evaluate the impact of non-idealities that are typical in practical implementations of the system. Numerical results demonstrate that the larger the RIS is, the higher data rate the system achieves, and that it should be located in the vicinity of the receiver or transmitter. The effectiveness of the proposed algorithm is also proven, even when considering realistic quantization of discrete phase shifts and imperfect channel knowledge.
Libros sobre el tema "Reconfigurable Intelligent Surfaces (RIS)"
Faisal, Alice, Ibrahim Al-Nahhal, Octavia A. Dobre y Telex M. N. Ngatched. Reinforcement Learning for Reconfigurable Intelligent Surfaces. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52554-4.
Texto completoImran, Muhammad Ali, Lina Mohjazi, Lina Bariah, Sami Muhaidat y Tei Jun Cui. Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks. Wiley & Sons, Incorporated, John, 2022.
Buscar texto completoImran, Muhammad Ali, Lina Mohjazi, Lina Bariah, Sami Muhaidat y Tei Jun Cui. Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks. Wiley & Sons, Incorporated, John, 2022.
Buscar texto completoIntelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks. Wiley & Sons, Limited, John, 2023.
Buscar texto completoImran, Muhammad Ali, Lina Mohjazi, Lina Bariah, Sami Muhaidat y Tei Jun Cui. Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks. Wiley & Sons, Incorporated, John, 2022.
Buscar texto completoCapítulos de libros sobre el tema "Reconfigurable Intelligent Surfaces (RIS)"
Zhang, Hongliang, Boya Di, Lingyang Song y Zhu Han. "RIS Aided MIMO Communications". En Reconfigurable Intelligent Surface-Empowered 6G, 19–104. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73499-2_2.
Texto completoZhang, Hongliang, Boya Di, Lingyang Song y Zhu Han. "RIS Aided RF Sensing and Localization". En Reconfigurable Intelligent Surface-Empowered 6G, 161–251. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73499-2_4.
Texto completoIhsana Muhammed, P., Yasar Moidutty, N. M. Sreenarayanan y V. M. Meera. "Reconfigurable Intelligent Surface (RIS)-Assisted UAV Cellular Communication". En Unmanned Aerial Vehicle Cellular Communications, 115–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08395-2_6.
Texto completoHu, Xiaoling, Chenxi Liu, Mugen Peng y Caijun Zhong. "Introduction of RIS-Enabled ISAC". En Reconfigurable Intelligent Surface-Enabled Integrated Sensing and Communication in 6G, 1–23. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8299-8_1.
Texto completoHu, Xiaoling, Chenxi Liu, Mugen Peng y Caijun Zhong. "Angle Information Acquisition in RIS-Enabled ISAC". En Reconfigurable Intelligent Surface-Enabled Integrated Sensing and Communication in 6G, 51–76. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8299-8_3.
Texto completoHu, Xiaoling, Chenxi Liu, Mugen Peng y Caijun Zhong. "Sensing-Assisted Beamforming in RIS-Enabled ISAC". En Reconfigurable Intelligent Surface-Enabled Integrated Sensing and Communication in 6G, 101–33. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8299-8_5.
Texto completoHu, Xiaoling, Chenxi Liu, Mugen Peng y Caijun Zhong. "Theoretical Performance Analysis of RIS-Enabled ISAC". En Reconfigurable Intelligent Surface-Enabled Integrated Sensing and Communication in 6G, 25–49. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8299-8_2.
Texto completoHu, Xiaoling, Chenxi Liu, Mugen Peng y Caijun Zhong. "Delay-Doppler Information Acquisition in RIS-Enabled ISAC". En Reconfigurable Intelligent Surface-Enabled Integrated Sensing and Communication in 6G, 77–100. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8299-8_4.
Texto completoLe, Chi-Bao, Dinh-Thuan Do y Samarendra Nath Sur. "Reconfigurable Intelligent Surface (RIS)-Assisted Wireless Systems: Potentials for 6G and a Case Study". En Advances in Communication, Devices and Networking, 367–78. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2911-2_39.
Texto completoRinchi, Omar, Ahmed Elzanaty y Ahmad Alsharoa. "Wireless Localization with Reconfigurable Intelligent Surfaces". En 6G Wireless, 73–116. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003282211-5.
Texto completoActas de conferencias sobre el tema "Reconfigurable Intelligent Surfaces (RIS)"
Amri, Muhammad Miftahul. "Recent Trends in the Reconfigurable Intelligent Surfaces (RIS): Active RIS to Brain-controlled RIS". En 2022 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). IEEE, 2022. http://dx.doi.org/10.1109/comnetsat56033.2022.9994338.
Texto completoYazdani, Reza, Manish Kizhakkeveettil Mathew, Zhekun Peng y DongHyun Kim. "Reconfigurable Intelligent Surface (RIS) Design for 5G n260 Frequency Band". En 2023 IEEE Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMC+SIPI). IEEE, 2023. http://dx.doi.org/10.1109/emcsipi50001.2023.10241407.
Texto completoEddine Zegrar, Salah, Liza Afeef y Huseyin Arslan. "Reconfigurable intelligent surface (RIS): Eigenvalue Decomposition-Based Separate Channel Estimation". En 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2021. http://dx.doi.org/10.1109/pimrc50174.2021.9569501.
Texto completoSadia, Haleema, Ziaul Haq Abbas, Ahmad Kamal Hassan y Ghulam Abbas. "Outage Probability Analysis of Reconfigurable Intelligent Surface (RIS)-Enabled NOMA Network". En 2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM). IEEE, 2023. http://dx.doi.org/10.1109/wincom59760.2023.10322994.
Texto completoYoun, Youngno, Donggeun An, Daehyeon Kim, Myeonggin Hwang y Wonbin Hong. "Cognitive Reconfigurable Intelligent Surface (RIS) for mmWave Integrated Sensing and Communication". En 2023 IEEE International Symposium On Antennas And Propagation (ISAP). IEEE, 2023. http://dx.doi.org/10.1109/isap57493.2023.10389072.
Texto completoHuang, Yiqian, Saviour Zammit, Ping Yang, Yue Xiao, Bo Zhang, Jienan Chen y Wei Xiang. "Over-the-RIS Modulation: A Reconfigurable Intelligent Surface Assisted Modulation Design". En 2023 8th International Conference on Communication, Image and Signal Processing (CCISP). IEEE, 2023. http://dx.doi.org/10.1109/ccisp59915.2023.10355851.
Texto completoOuyang, Chongjun, Hao Xu, Xujie Zang y Hongwen Yang. "On the Ergodic Capacity of Reconfigurable Intelligent Surface (RIS)-Aided MIMO Channels". En 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). IEEE, 2022. http://dx.doi.org/10.1109/vtc2022-fall57202.2022.10012964.
Texto completoZhao, Qichao, Wenfei Gong, Tianwei Hou, Xin Sun y Eliane Bodanese. "Global Navigation Satellite System (GNSS): A Reconfigurable Intelligent Surface (RIS)-aided Approach". En GLOBECOM 2022 - 2022 IEEE Global Communications Conference. IEEE, 2022. http://dx.doi.org/10.1109/globecom48099.2022.10001462.
Texto completoZhao, Qichao, Wenfei Gong, Tianwei Hou, Xin Sun, Anna Li y Eliane Bodanese. "Integrated-Navigation-and-Communication (INAC): A Reconfigurable Intelligent Surface (RIS)-aided Approach". En 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). IEEE, 2023. http://dx.doi.org/10.1109/vtc2023-spring57618.2023.10199514.
Texto completoDong, Limeng y Wanyu Yan. "Active Reconfigurable Intelligent Surface (RIS) Aided Secure Wireless Transmission Under a Shared Power Source Between Transmitter and RIS". En 2022 14th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2022. http://dx.doi.org/10.1109/wcsp55476.2022.10039260.
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