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Готові списки джерел за темами / Surface intelligent reconfigurable

Добірка наукової літератури з теми "Surface intelligent reconfigurable"

Автор: Grafiati

Опубліковано: 23 вересня 2022

Оновлено: 28 вересня 2022

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Статті в журналах
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Книги
Частини книг
Тези доповідей конференцій

Статті в журналах з теми "Surface intelligent reconfigurable":

1

Jun, Dongsoo, and Chan-Byoung Chae. "Design and Performance Analysis of Reconfigurable Intelligent Surface with Meta-Devices." Journal of Korean Institute of Communications and Information Sciences 47, no. 6 (June 30, 2022): 882–89. http://dx.doi.org/10.7840/kics.2022.47.6.882.

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2

Hou, Tianwei, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, and Lajos Hanzo. "Reconfigurable Intelligent Surface Aided NOMA Networks." IEEE Journal on Selected Areas in Communications 38, no. 11 (November 2020): 2575–88. http://dx.doi.org/10.1109/jsac.2020.3007039.

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3

Ma, Teng, Yue Xiao, Xia Lei, Wenhui Xiong, and Yuan Ding. "Indoor Localization With Reconfigurable Intelligent Surface." IEEE Communications Letters 25, no. 1 (January 2021): 161–65. http://dx.doi.org/10.1109/lcomm.2020.3025320.

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4

Jiang, Tao, and Wei Yu. "Interference Nulling Using Reconfigurable Intelligent Surface." IEEE Journal on Selected Areas in Communications 40, no. 5 (May 2022): 1392–406. http://dx.doi.org/10.1109/jsac.2022.3143220.

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5

Canbilen, Ayse E., Ertugrul Basar, and Salama S. Ikki. "Reconfigurable Intelligent Surface-Assisted Space Shift Keying." IEEE Wireless Communications Letters 9, no. 9 (September 2020): 1495–99. http://dx.doi.org/10.1109/lwc.2020.2994930.

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6

Long, Ruizhe, Ying-Chang Liang, Yiyang Pei, and Erik G. Larsson. "Active Reconfigurable Intelligent Surface-Aided Wireless Communications." IEEE Transactions on Wireless Communications 20, no. 8 (August 2021): 4962–75. http://dx.doi.org/10.1109/twc.2021.3064024.

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7

Hua, Sheng, Yong Zhou, Kai Yang, Yuanming Shi, and Kunlun Wang. "Reconfigurable Intelligent Surface for Green Edge Inference." IEEE Transactions on Green Communications and Networking 5, no. 2 (June 2021): 964–79. http://dx.doi.org/10.1109/tgcn.2021.3058657.

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8

Dong, Limeng, Hui-Ming Wang, and Jiale Bai. "Active Reconfigurable Intelligent Surface Aided Secure Transmission." IEEE Transactions on Vehicular Technology 71, no. 2 (February 2022): 2181–86. http://dx.doi.org/10.1109/tvt.2021.3135498.

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9

Zhu, Xusheng, Lei Yuan, Kyeong Jin Kim, Qingqing Li, and Jiliang Zhang. "Reconfigurable Intelligent Surface-Assisted Spatial Scattering Modulation." IEEE Communications Letters 26, no. 1 (January 2022): 192–96. http://dx.doi.org/10.1109/lcomm.2021.3127020.

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10

Bai, Tong, Cunhua Pan, Chao Han, and Lajos Hanzo. "Reconfigurable Intelligent Surface Aided Mobile Edge Computing." IEEE Wireless Communications 28, no. 6 (December 2021): 80–86. http://dx.doi.org/10.1109/mwc.001.2100142.

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Більше джерел

Дисертації з теми "Surface intelligent reconfigurable":

1

Bachu, Krishna Prasad. "Signal processing at EM level using metasurfaces." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24693/.

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The thesis is focused on the description of Metamaterials and Metasurfaces, as well as their development, in order to process signals at the electromagnetic level using a variety of approaches that reduce latency, complexity, power consumption, and cost.

2

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/.

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Анотація:

Il progetto di tesi svolto riguarda lo studio di alcuni schemi di stima del canale di propagazione in presenza di superfici intelligenti riconfigurabili (comunemente chiamate RIS). Nel Capitolo 1 viene mostrato il vantaggio di adottare una RIS, mentre nel Capitolo 2 quest'ultima viene analizzata più nel dettaglio, introducendo anche il problema di stima del canale in scenari simili. Nel Capitolo 3 viene presentato lo stato dell'arte relativo ai principali approcci di stima del canale studiati in letteratura e viene analizzato nel dettaglio uno dei principali approcci ottimi validi nel caso di sistemi singola antenna, in cui la comunicazione viene assistita da una singola RIS, ed un secondo approccio valido nel caso di sistemi multi-antenna. Essendo il numero elevato di toni pilota necessari per la stima del CSI negli algoritmi presenti in letteratura il principale problema da affrontare, nel Capitolo 4 viene proposto un nuovo algoritmo, valido nel caso SISO, in grado di superare questo grosso limite. In particolare, viene analizzato il profilo di fase del canale sia in condizioni di campo lontano che campo vicino, e viene poi illustrato nel dettaglio come tali informazioni possono essere sfruttare per stimare il canale tramite un approccio ML. Le simulazioni che seguono, fanno vedere come un simile approccio sia in grado di ottenere delle valide stime delle informazioni di canale sfruttando solamente il 10/15$\%$ dei toni pilota necessari nell'approccio ottimo descritto nel Capitolo 3. Viene poi evidenziato come il problema di stima del canale sia equivalente al problema di stima della posizione del ricevitore. In particolare, note le posizioni del trasmettitore e della RIS adottata, viene illustrato un metodo (strettamente collegato all'approccio di stima del canale) di stima della posizione del ricevitore. Infine, nel Capitolo 5, vengono presentate le conclusioni e possibili sviluppi futuri correlati all'algoritmo proposto nel capitolo precedente.

3

Mursia, Placido. "Multi-antenna methods for scalable beyond-5G access networks." Thesis, Sorbonne université, 2021. http://www.theses.fr/2021SORUS532.

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L’augmentation exponentielle des équipements d’utilisateurs sans fil (UEs) et des services des réseaux associés aux déploiements actuels de cinquième génération (5G) pose plusieurs défis de conception sans précédent qui doivent être résolus avec l’avènement des futurs réseaux au-delà de la 5G. Plus précisément, la demande croissante de débits de données élevés ainsi que la nécessité de desservir un grand nombre d’appareils hétérogènes, allant des téléphones mobiles classiques aux objets connectés formant l’internet des objets (IoT), motivent l’étude de nouveaux schémas de traitement et de transmission du signal. À cet égard, les sorties multiples massives à entrées multiples (massive MIMO) sont une technologie d’accès bien établie, qui permet de desservir plusieurs dizaines d’UEs en utilisant lesmêmes ressources temps-fréquence au moyen de techniques de formation de faisceau hautement directionnelles. Cependant, le massive MIMO présente des problèmes d’évolutivité dans les scénarios accès massif où la population UE est composée d’un grand nombre de périphériques hétérogènes. En effet, si la disponibilité d’un grand nombre d’antennes dans les émetteurs-récepteurs massive MIMO apporte des gains de performances substantiels, elle augmente également considérablement la surcharge et la complexité du système. Plus précisément, la dimensionnalité élevée des canaux nécessite l’allocation de ressources temps-fréquence considérables pour acquérir les informations d’état de canal (CSI) et se traduit par de grandes opérations matricielles pour construire des précodeurs/décodeurs. De plus, dans le contexte de communications de multidiffusion comme, par exemple, la mise en cache périphérique sans fil ou la diffusion de messages critiques pour la mission, les techniques d’antennes multiples conventionnelles présentent des taux de disparition lorsque le nombre d’UEs augmente même dans le régime d’antenne massif. Enfin, le grand nombre de chaînes de radiofréquences (RF) associées aux émetteurs-récepteurs massive MIMO, qui sont utilisés pour contrer les pertes de propagation dans des environnements difficiles tels que, par exemple, à des fréquences d’ondes millimétriques (mmWave), se heurte au budget de puissance limité des appareils IoT. Dans cette thèse, nous proposons de nouvelles méthodes à antennes multiples évolutives pour l’amélioration des performances dans les scénarios d’intérêt susmentionnés. Plus précisément, nous décrivons le rôle fondamental joué par le CSI statistique qui peut être mis à profit pour réduire à la fois la complexité et la surcharge pour l’acquisition de CSI et pour la suppression des interférences multi-utilisateurs. En effet, lorsque les UEs sont équipés au moins de duex antennes, leurs propriétés de sélectivité spatiale peuvent être exploitées pour imposer une orthogonalité statistique parmi les transmissions interférentes. De plus, nous exploitons les communications de périphérique à périphérique (D2D) pour surmonter le goulot d’étranglement fondamental de la multidiffusion conventionnelle. En particulier, nous exploitons les capacités de précodage d’un émetteur multi-antennes pour sélectionner soigneusement les UEs dans des conditions de canal favorables, qui à leur tour agissent comme des relais opportunistes et retransmettent le message via les liaisons D2D. Enfin, dans le cadre des communications mmWave, nous explorons les avantages des surfaces intelligentes reconfigurables (RISs) récemment proposées, qui sont un catalyseur clé de l’innovation grâce à leur structure intrinsèquement passive qui permet de contrôler l’environnement de propagation et de contrer efficacement les pertes de propagation. En particulier, nous utilisons la formation de faisceaux passive au niveau du RIS, c’est-à-dire sans aucune dépense d’énergie significative, ainsi que la formation de faisceaux active conventionnelle au niveau de l’émetteur pour augmenter considérablement les performances du réseau
The 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

4

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.

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Cette thèse porte principalement sur la modélisation, l'évaluation des performances et l'optimisation au niveau système des réseaux cellulaires de nouvelle génération à l'aide de la géométrie stochastique. En plus, la technologie émergente des surfaces intelligentes reconfigurables (RISs) est étudiée pour l'application aux futurs réseaux sans fil. En particulier, reposant sur un modèle d’abstraction basé sur la loi de Poisson pour la distribution spatiale des nœuds et des points d’accès, cette thèse développe un ensemble de nouveaux cadres analytiques pour le calcul d’importantes métriques de performance, telles que la probabilité de couverture et l'efficacité spectrale potentielle, qui peuvent être utilisés pour l'analyse et l'optimisation au niveau système. Plus spécifiquement, une nouvelle méthodologie d'analyse pour l'analyse de réseaux cellulaires tridimensionnels est introduite et utilisée pour l'optimisation du système. Un nouveau problème d’allocation de ressources est formulé et résolu en combinant pour la première fois géométrie stochastique et programmation non linéaire mixte en nombres entiers. L'impact du déploiement de surfaces réfléchissantes intelligentes sur un réseau sans fil est quantifié à l'aide de processus ponctuels, et les avantages potentiels des RISs contre le relais sont étudiés à l'aide de simulations numériques
The 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

5

Massari, Devis. "Smart Radio Environments using Reconfigurable Meta-Surfaces." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19590/.

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Al giorno d'oggi le comunicazioni wireless hanno raggiunto un elevato livello di pervasività da essere presenti in tutto l'ambiente circostante. Sebbene la loro presenza abbia portato allo sviluppo di nuove tecnologie di comunicazione che favoriscono la mobilità, lo sfruttamento dello spettro radio degli ultimi decenni è stato intensivo. Il numero di dispositivi è aumentato notevolmente e con loro sono aumentate anche le richieste degli utenti in termini di data rate. Infatti la propagazione in ambienti caratterizzati da ostacoli, introduce riflessioni generando multipath che può essere più o meno ricco a seconda del numero di dispositivi in comunicazione o della densità di ostacoli. Questo tipo di fenomeno risulta essere particolarmente fastidioso perchè è causa di interferenze. Esistono diverse tecniche che permettono di fronteggiare il multipath, come ad esempio le modulazioni OFDM o che consentono di sfruttarlo, come nel caso dei sistemi MIMO-5G. In questo lavoro una nuova prospettiva è stata descritta: l'uso dei metamateriali. I metamateriali sono una nuova classe di materiali che, se opportunamente programmati, possono essere sfruttati per ottenere particolari coefficienti di riflessione. Inoltre, possono anche cambiare la fase dell'onda incidente. In questo scenario si apre la possibilità di poter installare nell'ambiente superfici composte da metamateriali dette metasuperfici, in modo da ottenere dei percorsi di riflessione del campo EM alternativi. Questa nuova tipologia di ambiente si differenzia dalla precedente concezione statica percepita come un avversario e viene definito intelligente. Da qui il concetto di smart environment, ovvero un'entità fisica completamente programmabile che permette all'utente di cambiare la risposta del canale arbitrariamente.

6

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.

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As comunicações na banda Terahertz (THz) são consideradas uma tecnologia crucial para a transmissão de dados a velocidades ultra-elevadas em sistemas de comunicação sem fios da futura geração. As extensas larguras de banda disponíveis nas frequências de THz têm o custo de graves perdas de propagação e limitações de potência, o que resulta em distâncias de comunicação muito curtas. Superfícies inteligentes reconfiguráveis (RIS) são uma tecnologia promissora para ultrapassar esta limitação uma vez que têm capacidade para moldar as ondas THz, ajustando adequadamente as mudanças de fase. Esta dissertação foca-se no estudo de um sistema eficaz em contexto de ambiente para as comunicações sem fio THz. Na presente dissertação concebemos um sistema de comunicação sem fios ultra-massivo de múltiplas entradas e saídas (UM-MIMO) assistido por RIS. Para maximizar a taxa alcançável do sistema, e ao mesmo tempo que se lida com a grande configuração de problemas que é típica dos sistemas UM-MIMO assistidos por RIS, é desenvolvido um algoritmo de gradiente proximal acelerado (APG) de baixa complexidade para o cálculo das mudanças de fase dos elementos do RIS. Também se considera a pré-codificação híbrida, a qual é necessária para tornar viável a implementação de comunicações UM-MIMO nos THz, e avalia-se a incidência de não-idealidades que são típicas na implementação prática do sistema. Os resultados numéricos demonstram que quanto maior o RIS maior taxa de dados o sistema alcança, e que o mesmo deve ficar situado na vizinhança do recetor ou do transmissor. A eficácia do algoritmo proposto também é comprovada, mesmo quando se considera a quantização realista das mudanças de fase discretas e o conhecimento imperfeito do canal.
Terahertz (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.

Книги з теми "Surface intelligent reconfigurable":

1

Zhang, Hongliang, Boya Di, Lingyang Song, and Zhu Han. Reconfigurable Intelligent Surface-Empowered 6G. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73499-2.

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Частини книг з теми "Surface intelligent reconfigurable":

1

Zhang, Hongliang, Boya Di, Lingyang Song, and Zhu Han. "RIS Aided MIMO Communications." In Reconfigurable Intelligent Surface-Empowered 6G, 19–104. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73499-2_2.

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2

Zhang, Hongliang, Boya Di, Lingyang Song, and Zhu Han. "Convergences of RISs with Existing Wireless Technologies." In Reconfigurable Intelligent Surface-Empowered 6G, 105–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73499-2_3.

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3

Zhang, Hongliang, Boya Di, Lingyang Song, and Zhu Han. "Introductions and Basics." In Reconfigurable Intelligent Surface-Empowered 6G, 1–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73499-2_1.

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4

Zhang, Hongliang, Boya Di, Lingyang Song, and Zhu Han. "RIS Aided RF Sensing and Localization." In Reconfigurable Intelligent Surface-Empowered 6G, 161–251. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73499-2_4.

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5

Liu, Hang, Xiaojun Yuan, and Ying-Jun Angela Zhang. "PHY-Layer Design Challenges in Reconfigurable Intelligent Surface Aided 6G Wireless Networks." In Computer Communications and Networks, 53–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72777-2_5.

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6

Le, Chi-Bao, Dinh-Thuan Do, and Samarendra Nath Sur. "Reconfigurable Intelligent Surface (RIS)-Assisted Wireless Systems: Potentials for 6G and a Case Study." In Advances in Communication, Devices and Networking, 367–78. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2911-2_39.

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7

Truong, Phuc Quang, and Ca Phan Van. "Reconfigurable Intelligent Surfaces for Downlink Cellular Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 20–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08878-0_2.

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8

Jaafar, Wael, Lina Bariah, Sami Muhaidat, and Halim Yanikomeroglu. "Enhancing UAV-Based Public Safety Networks with Reconfigurable Intelligent Surfaces." In Intelligent Unmanned Air Vehicles Communications for Public Safety Networks, 145–67. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1292-4_7.

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9

Boulogeorgos, Alexandros-Apostolos A., and Angeliki Alexiou. "Reconfigurable Intelligent Surfaces for Exploitation of the Randomness of Wireless Environments." In Statistical Modeling of Reliability Structures and Industrial Processes, 195–216. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003203124-12.

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10

Pogaku, Arjun Chakravarthi, Nhan Duc Nguyen, Anh-Tu Le, and Dinh-Thuan Do. "Enabling Cognitive Radio in NOMA-Assisted Reconfigurable Intelligent Surfaces: Outage Performance Analysis." In Advances in Communication, Devices and Networking, 569–81. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2004-2_52.

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Тези доповідей конференцій з теми "Surface intelligent reconfigurable":

1

Liu, Yiming, Erwu Liu, Rui Wang, and Yuanzhe Geng. "Reconfigurable Intelligent Surface Aided Wireless Localization." In ICC 2021 - IEEE International Conference on Communications. IEEE, 2021. http://dx.doi.org/10.1109/icc42927.2021.9500437.

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2

Anim, Kyei, Md Abu Saleh Tajin, Chelsea E. Amanatides, Genevieve Dion, and Kapil R. Dandekar. "Conductive Fabric-Based Reconfigurable Intelligent Surface." In 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/USNC-URSI). IEEE, 2022. http://dx.doi.org/10.1109/ap-s/usnc-ursi47032.2022.9887182.

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3

Atapattu, Saman, Rongfei Fan, Prathapasinghe Dharmawansa, Gongpu Wang, and Jamie Evans. "Two–Way Communications via Reconfigurable Intelligent Surface." In 2020 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2020. http://dx.doi.org/10.1109/wcnc45663.2020.9120479.

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4

Tao, Yang, and Zhaoyang Zhang. "Distributed Computational Imaging with Reconfigurable Intelligent Surface." In 2020 International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2020. http://dx.doi.org/10.1109/wcsp49889.2020.9299878.

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He, Jinglian, Kaiqiang Yu, Yong Zhou, and Yuanming Shi. "Reconfigurable Intelligent Surface Enhanced Cognitive Radio Networks." In 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall). IEEE, 2020. http://dx.doi.org/10.1109/vtc2020-fall49728.2020.9348788.

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Lin, Shaoe, Miaowen Wen, Marco Di Renzo, and Fangjiong Chen. "Reconfigurable Intelligent Surface-Based Quadrature Reflection Modulation." In ICC 2021 - IEEE International Conference on Communications. IEEE, 2021. http://dx.doi.org/10.1109/icc42927.2021.9500782.

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Huang, Shanfeng, Shuai Wang, Rui Wang, Miaowen Wen, and Kaibin Huang. "Reconfigurable Intelligent Surface Assisted Edge Machine Learning." In ICC 2021 - IEEE International Conference on Communications. IEEE, 2021. http://dx.doi.org/10.1109/icc42927.2021.9500445.

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Wang, Wen, Hui Tian, Wanli Ni, and Meihui Hua. "Reconfigurable Intelligent Surface Aided Secure UAV Communications." In 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2021. http://dx.doi.org/10.1109/pimrc50174.2021.9569667.

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Wang, Jun, Ying-Chang Liang, Yiyang Pei, and Xuemin Sherman Shen. "Reconfigurable Intelligent Surface for Small Cell Network." In GLOBECOM 2021 - 2021 IEEE Global Communications Conference. IEEE, 2021. http://dx.doi.org/10.1109/globecom46510.2021.9685214.

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Mohammed, Neekar M., Stephen C. Creagh, Sergio Terranova, Hamidreza Taghvaee, Mir Lodro, Gregor Tanner, and Gabriele Gradoni. "Reconfigurable intelligent surface design in phase-space." In 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC). IEEE, 2022. http://dx.doi.org/10.23919/at-ap-rasc54737.2022.9814368.

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