RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence

Abstract Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments and are lately being considered as a candidate physical-layer technology for the demanding connectivity, reliability, localisation, and sustainability requirements...
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Autor*in:	Alexandropoulos, George C. [verfasserIn] Phan-Huy, Dinh-Thuy Katsanos, Konstantinos D. Crozzoli, Maurizio Wymeersch, Henk Popovski, Petar Ratajczak, Philippe Bénédic, Yohann Hamon, Marie-Helene Gonzalez, Sebastien Herraiz Mursia, Placido Rossanese, Marco Sciancalepore, Vincenzo Gros, Jean-Baptiste Terranova, Sergio Gradoni, Gabriele Di Lorenzo, Paolo Rahal, Moustafa Denis, Benoit D’Errico, Raffaele Clemente, Antonio Strinati, Emilio Calvanese

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Reconfigurable intelligent surfaces Deployment scenarios Network architecture Area of influence Bandwidth of influence Smart wireless environments Wave propagation control

Anmerkung:	© The Author(s) 2023

Übergeordnetes Werk:	Enthalten in: EURASIP journal on wireless communications and networking - Heidelberg : Springer, 2004, 2023(2023), 1 vom: 10. Okt.
Übergeordnetes Werk:	volume:2023 ; year:2023 ; number:1 ; day:10 ; month:10

Links:	Volltext

DOI / URN:	10.1186/s13638-023-02295-8

Katalog-ID:	SPR053366069

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520			\|a Abstract Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments and are lately being considered as a candidate physical-layer technology for the demanding connectivity, reliability, localisation, and sustainability requirements of next-generation wireless networks. In this paper, we first present the deployment scenarios for RIS-enabled smart wireless environments that have been recently designed within the ongoing European Union Horizon 2020 RISE-6G project, as well as a network architecture integrating RISs with existing standardised interfaces. We identify various RIS deployment strategies and sketch the core architectural requirements in terms of RIS control and signalling, depending on the RIS hardware architectures and respective capabilities. Furthermore, we introduce and discuss, with the aid of simulations and reflect array measurements, two novel metrics that emerge in the context of RIS-empowered wireless systems: the RIS bandwidth of influence and the RIS area of influence. Their extensive investigation corroborates the need for careful deployment and planning of the RIS technology in future wireless networks.
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allfields	10.1186/s13638-023-02295-8 doi (DE-627)SPR053366069 (SPR)s13638-023-02295-8-e DE-627 ger DE-627 rakwb eng Alexandropoulos, George C. verfasserin (orcid)0000-0002-6587-1371 aut RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments and are lately being considered as a candidate physical-layer technology for the demanding connectivity, reliability, localisation, and sustainability requirements of next-generation wireless networks. In this paper, we first present the deployment scenarios for RIS-enabled smart wireless environments that have been recently designed within the ongoing European Union Horizon 2020 RISE-6G project, as well as a network architecture integrating RISs with existing standardised interfaces. We identify various RIS deployment strategies and sketch the core architectural requirements in terms of RIS control and signalling, depending on the RIS hardware architectures and respective capabilities. Furthermore, we introduce and discuss, with the aid of simulations and reflect array measurements, two novel metrics that emerge in the context of RIS-empowered wireless systems: the RIS bandwidth of influence and the RIS area of influence. Their extensive investigation corroborates the need for careful deployment and planning of the RIS technology in future wireless networks. Reconfigurable intelligent surfaces (dpeaa)DE-He213 Deployment scenarios (dpeaa)DE-He213 Network architecture (dpeaa)DE-He213 Area of influence (dpeaa)DE-He213 Bandwidth of influence (dpeaa)DE-He213 Smart wireless environments (dpeaa)DE-He213 Wave propagation control (dpeaa)DE-He213 Phan-Huy, Dinh-Thuy aut Katsanos, Konstantinos D. aut Crozzoli, Maurizio aut Wymeersch, Henk aut Popovski, Petar aut Ratajczak, Philippe aut Bénédic, Yohann aut Hamon, Marie-Helene aut Gonzalez, Sebastien Herraiz aut Mursia, Placido aut Rossanese, Marco aut Sciancalepore, Vincenzo aut Gros, Jean-Baptiste aut Terranova, Sergio aut Gradoni, Gabriele aut Di Lorenzo, Paolo aut Rahal, Moustafa aut Denis, Benoit aut D’Errico, Raffaele aut Clemente, Antonio aut Strinati, Emilio Calvanese aut Enthalten in EURASIP journal on wireless communications and networking Heidelberg : Springer, 2004 2023(2023), 1 vom: 10. Okt. (DE-627)47265151X (DE-600)2168613-0 1687-1499 nnns volume:2023 year:2023 number:1 day:10 month:10 https://dx.doi.org/10.1186/s13638-023-02295-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2023 2023 1 10 10
spelling	10.1186/s13638-023-02295-8 doi (DE-627)SPR053366069 (SPR)s13638-023-02295-8-e DE-627 ger DE-627 rakwb eng Alexandropoulos, George C. verfasserin (orcid)0000-0002-6587-1371 aut RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments and are lately being considered as a candidate physical-layer technology for the demanding connectivity, reliability, localisation, and sustainability requirements of next-generation wireless networks. In this paper, we first present the deployment scenarios for RIS-enabled smart wireless environments that have been recently designed within the ongoing European Union Horizon 2020 RISE-6G project, as well as a network architecture integrating RISs with existing standardised interfaces. We identify various RIS deployment strategies and sketch the core architectural requirements in terms of RIS control and signalling, depending on the RIS hardware architectures and respective capabilities. Furthermore, we introduce and discuss, with the aid of simulations and reflect array measurements, two novel metrics that emerge in the context of RIS-empowered wireless systems: the RIS bandwidth of influence and the RIS area of influence. Their extensive investigation corroborates the need for careful deployment and planning of the RIS technology in future wireless networks. Reconfigurable intelligent surfaces (dpeaa)DE-He213 Deployment scenarios (dpeaa)DE-He213 Network architecture (dpeaa)DE-He213 Area of influence (dpeaa)DE-He213 Bandwidth of influence (dpeaa)DE-He213 Smart wireless environments (dpeaa)DE-He213 Wave propagation control (dpeaa)DE-He213 Phan-Huy, Dinh-Thuy aut Katsanos, Konstantinos D. aut Crozzoli, Maurizio aut Wymeersch, Henk aut Popovski, Petar aut Ratajczak, Philippe aut Bénédic, Yohann aut Hamon, Marie-Helene aut Gonzalez, Sebastien Herraiz aut Mursia, Placido aut Rossanese, Marco aut Sciancalepore, Vincenzo aut Gros, Jean-Baptiste aut Terranova, Sergio aut Gradoni, Gabriele aut Di Lorenzo, Paolo aut Rahal, Moustafa aut Denis, Benoit aut D’Errico, Raffaele aut Clemente, Antonio aut Strinati, Emilio Calvanese aut Enthalten in EURASIP journal on wireless communications and networking Heidelberg : Springer, 2004 2023(2023), 1 vom: 10. Okt. (DE-627)47265151X (DE-600)2168613-0 1687-1499 nnns volume:2023 year:2023 number:1 day:10 month:10 https://dx.doi.org/10.1186/s13638-023-02295-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2023 2023 1 10 10
allfields_unstemmed	10.1186/s13638-023-02295-8 doi (DE-627)SPR053366069 (SPR)s13638-023-02295-8-e DE-627 ger DE-627 rakwb eng Alexandropoulos, George C. verfasserin (orcid)0000-0002-6587-1371 aut RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments and are lately being considered as a candidate physical-layer technology for the demanding connectivity, reliability, localisation, and sustainability requirements of next-generation wireless networks. In this paper, we first present the deployment scenarios for RIS-enabled smart wireless environments that have been recently designed within the ongoing European Union Horizon 2020 RISE-6G project, as well as a network architecture integrating RISs with existing standardised interfaces. We identify various RIS deployment strategies and sketch the core architectural requirements in terms of RIS control and signalling, depending on the RIS hardware architectures and respective capabilities. Furthermore, we introduce and discuss, with the aid of simulations and reflect array measurements, two novel metrics that emerge in the context of RIS-empowered wireless systems: the RIS bandwidth of influence and the RIS area of influence. Their extensive investigation corroborates the need for careful deployment and planning of the RIS technology in future wireless networks. Reconfigurable intelligent surfaces (dpeaa)DE-He213 Deployment scenarios (dpeaa)DE-He213 Network architecture (dpeaa)DE-He213 Area of influence (dpeaa)DE-He213 Bandwidth of influence (dpeaa)DE-He213 Smart wireless environments (dpeaa)DE-He213 Wave propagation control (dpeaa)DE-He213 Phan-Huy, Dinh-Thuy aut Katsanos, Konstantinos D. aut Crozzoli, Maurizio aut Wymeersch, Henk aut Popovski, Petar aut Ratajczak, Philippe aut Bénédic, Yohann aut Hamon, Marie-Helene aut Gonzalez, Sebastien Herraiz aut Mursia, Placido aut Rossanese, Marco aut Sciancalepore, Vincenzo aut Gros, Jean-Baptiste aut Terranova, Sergio aut Gradoni, Gabriele aut Di Lorenzo, Paolo aut Rahal, Moustafa aut Denis, Benoit aut D’Errico, Raffaele aut Clemente, Antonio aut Strinati, Emilio Calvanese aut Enthalten in EURASIP journal on wireless communications and networking Heidelberg : Springer, 2004 2023(2023), 1 vom: 10. Okt. (DE-627)47265151X (DE-600)2168613-0 1687-1499 nnns volume:2023 year:2023 number:1 day:10 month:10 https://dx.doi.org/10.1186/s13638-023-02295-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2023 2023 1 10 10
allfieldsGer	10.1186/s13638-023-02295-8 doi (DE-627)SPR053366069 (SPR)s13638-023-02295-8-e DE-627 ger DE-627 rakwb eng Alexandropoulos, George C. verfasserin (orcid)0000-0002-6587-1371 aut RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments and are lately being considered as a candidate physical-layer technology for the demanding connectivity, reliability, localisation, and sustainability requirements of next-generation wireless networks. In this paper, we first present the deployment scenarios for RIS-enabled smart wireless environments that have been recently designed within the ongoing European Union Horizon 2020 RISE-6G project, as well as a network architecture integrating RISs with existing standardised interfaces. We identify various RIS deployment strategies and sketch the core architectural requirements in terms of RIS control and signalling, depending on the RIS hardware architectures and respective capabilities. Furthermore, we introduce and discuss, with the aid of simulations and reflect array measurements, two novel metrics that emerge in the context of RIS-empowered wireless systems: the RIS bandwidth of influence and the RIS area of influence. Their extensive investigation corroborates the need for careful deployment and planning of the RIS technology in future wireless networks. Reconfigurable intelligent surfaces (dpeaa)DE-He213 Deployment scenarios (dpeaa)DE-He213 Network architecture (dpeaa)DE-He213 Area of influence (dpeaa)DE-He213 Bandwidth of influence (dpeaa)DE-He213 Smart wireless environments (dpeaa)DE-He213 Wave propagation control (dpeaa)DE-He213 Phan-Huy, Dinh-Thuy aut Katsanos, Konstantinos D. aut Crozzoli, Maurizio aut Wymeersch, Henk aut Popovski, Petar aut Ratajczak, Philippe aut Bénédic, Yohann aut Hamon, Marie-Helene aut Gonzalez, Sebastien Herraiz aut Mursia, Placido aut Rossanese, Marco aut Sciancalepore, Vincenzo aut Gros, Jean-Baptiste aut Terranova, Sergio aut Gradoni, Gabriele aut Di Lorenzo, Paolo aut Rahal, Moustafa aut Denis, Benoit aut D’Errico, Raffaele aut Clemente, Antonio aut Strinati, Emilio Calvanese aut Enthalten in EURASIP journal on wireless communications and networking Heidelberg : Springer, 2004 2023(2023), 1 vom: 10. Okt. (DE-627)47265151X (DE-600)2168613-0 1687-1499 nnns volume:2023 year:2023 number:1 day:10 month:10 https://dx.doi.org/10.1186/s13638-023-02295-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2023 2023 1 10 10
allfieldsSound	10.1186/s13638-023-02295-8 doi (DE-627)SPR053366069 (SPR)s13638-023-02295-8-e DE-627 ger DE-627 rakwb eng Alexandropoulos, George C. verfasserin (orcid)0000-0002-6587-1371 aut RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments and are lately being considered as a candidate physical-layer technology for the demanding connectivity, reliability, localisation, and sustainability requirements of next-generation wireless networks. In this paper, we first present the deployment scenarios for RIS-enabled smart wireless environments that have been recently designed within the ongoing European Union Horizon 2020 RISE-6G project, as well as a network architecture integrating RISs with existing standardised interfaces. We identify various RIS deployment strategies and sketch the core architectural requirements in terms of RIS control and signalling, depending on the RIS hardware architectures and respective capabilities. Furthermore, we introduce and discuss, with the aid of simulations and reflect array measurements, two novel metrics that emerge in the context of RIS-empowered wireless systems: the RIS bandwidth of influence and the RIS area of influence. Their extensive investigation corroborates the need for careful deployment and planning of the RIS technology in future wireless networks. Reconfigurable intelligent surfaces (dpeaa)DE-He213 Deployment scenarios (dpeaa)DE-He213 Network architecture (dpeaa)DE-He213 Area of influence (dpeaa)DE-He213 Bandwidth of influence (dpeaa)DE-He213 Smart wireless environments (dpeaa)DE-He213 Wave propagation control (dpeaa)DE-He213 Phan-Huy, Dinh-Thuy aut Katsanos, Konstantinos D. aut Crozzoli, Maurizio aut Wymeersch, Henk aut Popovski, Petar aut Ratajczak, Philippe aut Bénédic, Yohann aut Hamon, Marie-Helene aut Gonzalez, Sebastien Herraiz aut Mursia, Placido aut Rossanese, Marco aut Sciancalepore, Vincenzo aut Gros, Jean-Baptiste aut Terranova, Sergio aut Gradoni, Gabriele aut Di Lorenzo, Paolo aut Rahal, Moustafa aut Denis, Benoit aut D’Errico, Raffaele aut Clemente, Antonio aut Strinati, Emilio Calvanese aut Enthalten in EURASIP journal on wireless communications and networking Heidelberg : Springer, 2004 2023(2023), 1 vom: 10. Okt. (DE-627)47265151X (DE-600)2168613-0 1687-1499 nnns volume:2023 year:2023 number:1 day:10 month:10 https://dx.doi.org/10.1186/s13638-023-02295-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2023 2023 1 10 10
language	English
source	Enthalten in EURASIP journal on wireless communications and networking 2023(2023), 1 vom: 10. Okt. volume:2023 year:2023 number:1 day:10 month:10
sourceStr	Enthalten in EURASIP journal on wireless communications and networking 2023(2023), 1 vom: 10. Okt. volume:2023 year:2023 number:1 day:10 month:10
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Reconfigurable intelligent surfaces Deployment scenarios Network architecture Area of influence Bandwidth of influence Smart wireless environments Wave propagation control
isfreeaccess_bool	true
container_title	EURASIP journal on wireless communications and networking
authorswithroles_txt_mv	Alexandropoulos, George C. @@aut@@ Phan-Huy, Dinh-Thuy @@aut@@ Katsanos, Konstantinos D. @@aut@@ Crozzoli, Maurizio @@aut@@ Wymeersch, Henk @@aut@@ Popovski, Petar @@aut@@ Ratajczak, Philippe @@aut@@ Bénédic, Yohann @@aut@@ Hamon, Marie-Helene @@aut@@ Gonzalez, Sebastien Herraiz @@aut@@ Mursia, Placido @@aut@@ Rossanese, Marco @@aut@@ Sciancalepore, Vincenzo @@aut@@ Gros, Jean-Baptiste @@aut@@ Terranova, Sergio @@aut@@ Gradoni, Gabriele @@aut@@ Di Lorenzo, Paolo @@aut@@ Rahal, Moustafa @@aut@@ Denis, Benoit @@aut@@ D’Errico, Raffaele @@aut@@ Clemente, Antonio @@aut@@ Strinati, Emilio Calvanese @@aut@@
publishDateDaySort_date	2023-10-10T00:00:00Z
hierarchy_top_id	47265151X
id	SPR053366069
language_de	englisch
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author	Alexandropoulos, George C.
spellingShingle	Alexandropoulos, George C. misc Reconfigurable intelligent surfaces misc Deployment scenarios misc Network architecture misc Area of influence misc Bandwidth of influence misc Smart wireless environments misc Wave propagation control RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence
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topic_title	RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence Reconfigurable intelligent surfaces (dpeaa)DE-He213 Deployment scenarios (dpeaa)DE-He213 Network architecture (dpeaa)DE-He213 Area of influence (dpeaa)DE-He213 Bandwidth of influence (dpeaa)DE-He213 Smart wireless environments (dpeaa)DE-He213 Wave propagation control (dpeaa)DE-He213
topic	misc Reconfigurable intelligent surfaces misc Deployment scenarios misc Network architecture misc Area of influence misc Bandwidth of influence misc Smart wireless environments misc Wave propagation control
topic_unstemmed	misc Reconfigurable intelligent surfaces misc Deployment scenarios misc Network architecture misc Area of influence misc Bandwidth of influence misc Smart wireless environments misc Wave propagation control
topic_browse	misc Reconfigurable intelligent surfaces misc Deployment scenarios misc Network architecture misc Area of influence misc Bandwidth of influence misc Smart wireless environments misc Wave propagation control
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title	RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence
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title_full	RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence
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author_browse	Alexandropoulos, George C. Phan-Huy, Dinh-Thuy Katsanos, Konstantinos D. Crozzoli, Maurizio Wymeersch, Henk Popovski, Petar Ratajczak, Philippe Bénédic, Yohann Hamon, Marie-Helene Gonzalez, Sebastien Herraiz Mursia, Placido Rossanese, Marco Sciancalepore, Vincenzo Gros, Jean-Baptiste Terranova, Sergio Gradoni, Gabriele Di Lorenzo, Paolo Rahal, Moustafa Denis, Benoit D’Errico, Raffaele Clemente, Antonio Strinati, Emilio Calvanese
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title_sort	ris-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence
title_auth	RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence
abstract	Abstract Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments and are lately being considered as a candidate physical-layer technology for the demanding connectivity, reliability, localisation, and sustainability requirements of next-generation wireless networks. In this paper, we first present the deployment scenarios for RIS-enabled smart wireless environments that have been recently designed within the ongoing European Union Horizon 2020 RISE-6G project, as well as a network architecture integrating RISs with existing standardised interfaces. We identify various RIS deployment strategies and sketch the core architectural requirements in terms of RIS control and signalling, depending on the RIS hardware architectures and respective capabilities. Furthermore, we introduce and discuss, with the aid of simulations and reflect array measurements, two novel metrics that emerge in the context of RIS-empowered wireless systems: the RIS bandwidth of influence and the RIS area of influence. Their extensive investigation corroborates the need for careful deployment and planning of the RIS technology in future wireless networks. © The Author(s) 2023
abstractGer	Abstract Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments and are lately being considered as a candidate physical-layer technology for the demanding connectivity, reliability, localisation, and sustainability requirements of next-generation wireless networks. In this paper, we first present the deployment scenarios for RIS-enabled smart wireless environments that have been recently designed within the ongoing European Union Horizon 2020 RISE-6G project, as well as a network architecture integrating RISs with existing standardised interfaces. We identify various RIS deployment strategies and sketch the core architectural requirements in terms of RIS control and signalling, depending on the RIS hardware architectures and respective capabilities. Furthermore, we introduce and discuss, with the aid of simulations and reflect array measurements, two novel metrics that emerge in the context of RIS-empowered wireless systems: the RIS bandwidth of influence and the RIS area of influence. Their extensive investigation corroborates the need for careful deployment and planning of the RIS technology in future wireless networks. © The Author(s) 2023
abstract_unstemmed	Abstract Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable electromagnetic propagation environments and are lately being considered as a candidate physical-layer technology for the demanding connectivity, reliability, localisation, and sustainability requirements of next-generation wireless networks. In this paper, we first present the deployment scenarios for RIS-enabled smart wireless environments that have been recently designed within the ongoing European Union Horizon 2020 RISE-6G project, as well as a network architecture integrating RISs with existing standardised interfaces. We identify various RIS deployment strategies and sketch the core architectural requirements in terms of RIS control and signalling, depending on the RIS hardware architectures and respective capabilities. Furthermore, we introduce and discuss, with the aid of simulations and reflect array measurements, two novel metrics that emerge in the context of RIS-empowered wireless systems: the RIS bandwidth of influence and the RIS area of influence. Their extensive investigation corroborates the need for careful deployment and planning of the RIS technology in future wireless networks. © The Author(s) 2023
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title_short	RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence
url	https://dx.doi.org/10.1186/s13638-023-02295-8
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author2	Phan-Huy, Dinh-Thuy Katsanos, Konstantinos D. Crozzoli, Maurizio Wymeersch, Henk Popovski, Petar Ratajczak, Philippe Bénédic, Yohann Hamon, Marie-Helene Gonzalez, Sebastien Herraiz Mursia, Placido Rossanese, Marco Sciancalepore, Vincenzo Gros, Jean-Baptiste Terranova, Sergio Gradoni, Gabriele Di Lorenzo, Paolo Rahal, Moustafa Denis, Benoit D’Errico, Raffaele Clemente, Antonio Strinati, Emilio Calvanese
author2Str	Phan-Huy, Dinh-Thuy Katsanos, Konstantinos D. Crozzoli, Maurizio Wymeersch, Henk Popovski, Petar Ratajczak, Philippe Bénédic, Yohann Hamon, Marie-Helene Gonzalez, Sebastien Herraiz Mursia, Placido Rossanese, Marco Sciancalepore, Vincenzo Gros, Jean-Baptiste Terranova, Sergio Gradoni, Gabriele Di Lorenzo, Paolo Rahal, Moustafa Denis, Benoit D’Errico, Raffaele Clemente, Antonio Strinati, Emilio Calvanese
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In this paper, we first present the deployment scenarios for RIS-enabled smart wireless environments that have been recently designed within the ongoing European Union Horizon 2020 RISE-6G project, as well as a network architecture integrating RISs with existing standardised interfaces. We identify various RIS deployment strategies and sketch the core architectural requirements in terms of RIS control and signalling, depending on the RIS hardware architectures and respective capabilities. Furthermore, we introduce and discuss, with the aid of simulations and reflect array measurements, two novel metrics that emerge in the context of RIS-empowered wireless systems: the RIS bandwidth of influence and the RIS area of influence. 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RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence

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