A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges

Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Jawad, Aqeel Thamer [verfasserIn] Maaloul, Rihab [verfasserIn] Chaari, Lamia [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	6G Machine learning Deep learning Quantum machine learning Artificial intelligent Internet of things Internet of every thing Internet of space Internet of nano-things Internet of BioNano-things

Übergeordnetes Werk:	Enthalten in: Computer networks - Amsterdam [u.a.] : Elsevier, 1976, 237
Übergeordnetes Werk:	volume:237

DOI / URN:	10.1016/j.comnet.2023.110085

Katalog-ID:	ELV065958144

Internformat


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520			\|a Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that the 6G generation would have even more severe performance criteria than the 5G generation had. New sophisticated technologies and paradigms must be included into 6G network designs and procedures to satisfy the requirements and standards of the sixth generation. As a result, several publications and studies covering the relevant technologies, techniques, algorithms, and architectures have appeared in the recent few years. The current paper fills a gap in the literature by offering informative recommendations for further study of 6G networks. Connectivity targets within 6G are outlined, and the study explains the wireless progression toward 6G networks. The technologies are outlined, as are the obstacles that must be surmounted. This chapter also provides a thorough and up-to-date overview of the state of the art. Additionally, multiple classifications of 6G capabilities and techniques are provided, with an emphasis on the advantages and disadvantages of each process. In order to accelerate the advancement of 6G technologies and fulfill their needs, we also identify open problems and potential future possibilities.
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allfields	10.1016/j.comnet.2023.110085 doi (DE-627)ELV065958144 (ELSEVIER)S1389-1286(23)00530-3 DE-627 ger DE-627 rda eng 004 620 VZ 54.32 bkl 53.76 bkl Jawad, Aqeel Thamer verfasserin aut A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that the 6G generation would have even more severe performance criteria than the 5G generation had. New sophisticated technologies and paradigms must be included into 6G network designs and procedures to satisfy the requirements and standards of the sixth generation. As a result, several publications and studies covering the relevant technologies, techniques, algorithms, and architectures have appeared in the recent few years. The current paper fills a gap in the literature by offering informative recommendations for further study of 6G networks. Connectivity targets within 6G are outlined, and the study explains the wireless progression toward 6G networks. The technologies are outlined, as are the obstacles that must be surmounted. This chapter also provides a thorough and up-to-date overview of the state of the art. Additionally, multiple classifications of 6G capabilities and techniques are provided, with an emphasis on the advantages and disadvantages of each process. In order to accelerate the advancement of 6G technologies and fulfill their needs, we also identify open problems and potential future possibilities. 6G Machine learning Deep learning Quantum machine learning Artificial intelligent Internet of things Internet of every thing Internet of space Internet of nano-things Internet of BioNano-things Maaloul, Rihab verfasserin (orcid)0000-0002-4500-1010 aut Chaari, Lamia verfasserin aut Enthalten in Computer networks Amsterdam [u.a.] : Elsevier, 1976 237 Online-Ressource (DE-627)306652749 (DE-600)1499744-7 (DE-576)081954360 nnns volume:237 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.32 Rechnerkommunikation VZ 53.76 Kommunikationsdienste Fernmeldetechnik VZ AR 237
spelling	10.1016/j.comnet.2023.110085 doi (DE-627)ELV065958144 (ELSEVIER)S1389-1286(23)00530-3 DE-627 ger DE-627 rda eng 004 620 VZ 54.32 bkl 53.76 bkl Jawad, Aqeel Thamer verfasserin aut A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that the 6G generation would have even more severe performance criteria than the 5G generation had. New sophisticated technologies and paradigms must be included into 6G network designs and procedures to satisfy the requirements and standards of the sixth generation. As a result, several publications and studies covering the relevant technologies, techniques, algorithms, and architectures have appeared in the recent few years. The current paper fills a gap in the literature by offering informative recommendations for further study of 6G networks. Connectivity targets within 6G are outlined, and the study explains the wireless progression toward 6G networks. The technologies are outlined, as are the obstacles that must be surmounted. This chapter also provides a thorough and up-to-date overview of the state of the art. Additionally, multiple classifications of 6G capabilities and techniques are provided, with an emphasis on the advantages and disadvantages of each process. In order to accelerate the advancement of 6G technologies and fulfill their needs, we also identify open problems and potential future possibilities. 6G Machine learning Deep learning Quantum machine learning Artificial intelligent Internet of things Internet of every thing Internet of space Internet of nano-things Internet of BioNano-things Maaloul, Rihab verfasserin (orcid)0000-0002-4500-1010 aut Chaari, Lamia verfasserin aut Enthalten in Computer networks Amsterdam [u.a.] : Elsevier, 1976 237 Online-Ressource (DE-627)306652749 (DE-600)1499744-7 (DE-576)081954360 nnns volume:237 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.32 Rechnerkommunikation VZ 53.76 Kommunikationsdienste Fernmeldetechnik VZ AR 237
allfields_unstemmed	10.1016/j.comnet.2023.110085 doi (DE-627)ELV065958144 (ELSEVIER)S1389-1286(23)00530-3 DE-627 ger DE-627 rda eng 004 620 VZ 54.32 bkl 53.76 bkl Jawad, Aqeel Thamer verfasserin aut A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that the 6G generation would have even more severe performance criteria than the 5G generation had. New sophisticated technologies and paradigms must be included into 6G network designs and procedures to satisfy the requirements and standards of the sixth generation. As a result, several publications and studies covering the relevant technologies, techniques, algorithms, and architectures have appeared in the recent few years. The current paper fills a gap in the literature by offering informative recommendations for further study of 6G networks. Connectivity targets within 6G are outlined, and the study explains the wireless progression toward 6G networks. The technologies are outlined, as are the obstacles that must be surmounted. This chapter also provides a thorough and up-to-date overview of the state of the art. Additionally, multiple classifications of 6G capabilities and techniques are provided, with an emphasis on the advantages and disadvantages of each process. In order to accelerate the advancement of 6G technologies and fulfill their needs, we also identify open problems and potential future possibilities. 6G Machine learning Deep learning Quantum machine learning Artificial intelligent Internet of things Internet of every thing Internet of space Internet of nano-things Internet of BioNano-things Maaloul, Rihab verfasserin (orcid)0000-0002-4500-1010 aut Chaari, Lamia verfasserin aut Enthalten in Computer networks Amsterdam [u.a.] : Elsevier, 1976 237 Online-Ressource (DE-627)306652749 (DE-600)1499744-7 (DE-576)081954360 nnns volume:237 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.32 Rechnerkommunikation VZ 53.76 Kommunikationsdienste Fernmeldetechnik VZ AR 237
allfieldsGer	10.1016/j.comnet.2023.110085 doi (DE-627)ELV065958144 (ELSEVIER)S1389-1286(23)00530-3 DE-627 ger DE-627 rda eng 004 620 VZ 54.32 bkl 53.76 bkl Jawad, Aqeel Thamer verfasserin aut A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that the 6G generation would have even more severe performance criteria than the 5G generation had. New sophisticated technologies and paradigms must be included into 6G network designs and procedures to satisfy the requirements and standards of the sixth generation. As a result, several publications and studies covering the relevant technologies, techniques, algorithms, and architectures have appeared in the recent few years. The current paper fills a gap in the literature by offering informative recommendations for further study of 6G networks. Connectivity targets within 6G are outlined, and the study explains the wireless progression toward 6G networks. The technologies are outlined, as are the obstacles that must be surmounted. This chapter also provides a thorough and up-to-date overview of the state of the art. Additionally, multiple classifications of 6G capabilities and techniques are provided, with an emphasis on the advantages and disadvantages of each process. In order to accelerate the advancement of 6G technologies and fulfill their needs, we also identify open problems and potential future possibilities. 6G Machine learning Deep learning Quantum machine learning Artificial intelligent Internet of things Internet of every thing Internet of space Internet of nano-things Internet of BioNano-things Maaloul, Rihab verfasserin (orcid)0000-0002-4500-1010 aut Chaari, Lamia verfasserin aut Enthalten in Computer networks Amsterdam [u.a.] : Elsevier, 1976 237 Online-Ressource (DE-627)306652749 (DE-600)1499744-7 (DE-576)081954360 nnns volume:237 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.32 Rechnerkommunikation VZ 53.76 Kommunikationsdienste Fernmeldetechnik VZ AR 237
allfieldsSound	10.1016/j.comnet.2023.110085 doi (DE-627)ELV065958144 (ELSEVIER)S1389-1286(23)00530-3 DE-627 ger DE-627 rda eng 004 620 VZ 54.32 bkl 53.76 bkl Jawad, Aqeel Thamer verfasserin aut A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that the 6G generation would have even more severe performance criteria than the 5G generation had. New sophisticated technologies and paradigms must be included into 6G network designs and procedures to satisfy the requirements and standards of the sixth generation. As a result, several publications and studies covering the relevant technologies, techniques, algorithms, and architectures have appeared in the recent few years. The current paper fills a gap in the literature by offering informative recommendations for further study of 6G networks. Connectivity targets within 6G are outlined, and the study explains the wireless progression toward 6G networks. The technologies are outlined, as are the obstacles that must be surmounted. This chapter also provides a thorough and up-to-date overview of the state of the art. Additionally, multiple classifications of 6G capabilities and techniques are provided, with an emphasis on the advantages and disadvantages of each process. In order to accelerate the advancement of 6G technologies and fulfill their needs, we also identify open problems and potential future possibilities. 6G Machine learning Deep learning Quantum machine learning Artificial intelligent Internet of things Internet of every thing Internet of space Internet of nano-things Internet of BioNano-things Maaloul, Rihab verfasserin (orcid)0000-0002-4500-1010 aut Chaari, Lamia verfasserin aut Enthalten in Computer networks Amsterdam [u.a.] : Elsevier, 1976 237 Online-Ressource (DE-627)306652749 (DE-600)1499744-7 (DE-576)081954360 nnns volume:237 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.32 Rechnerkommunikation VZ 53.76 Kommunikationsdienste Fernmeldetechnik VZ AR 237
language	English
source	Enthalten in Computer networks 237 volume:237
sourceStr	Enthalten in Computer networks 237 volume:237
format_phy_str_mv	Article
bklname	Rechnerkommunikation Kommunikationsdienste Fernmeldetechnik
institution	findex.gbv.de
topic_facet	6G Machine learning Deep learning Quantum machine learning Artificial intelligent Internet of things Internet of every thing Internet of space Internet of nano-things Internet of BioNano-things
dewey-raw	004
isfreeaccess_bool	false
container_title	Computer networks
authorswithroles_txt_mv	Jawad, Aqeel Thamer @@aut@@ Maaloul, Rihab @@aut@@ Chaari, Lamia @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	306652749
dewey-sort	14
id	ELV065958144
language_de	englisch
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author	Jawad, Aqeel Thamer
spellingShingle	Jawad, Aqeel Thamer ddc 004 bkl 54.32 bkl 53.76 misc 6G misc Machine learning misc Deep learning misc Quantum machine learning misc Artificial intelligent misc Internet of things misc Internet of every thing misc Internet of space misc Internet of nano-things misc Internet of BioNano-things A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
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topic_title	004 620 VZ 54.32 bkl 53.76 bkl A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges 6G Machine learning Deep learning Quantum machine learning Artificial intelligent Internet of things Internet of every thing Internet of space Internet of nano-things Internet of BioNano-things
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title	A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
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title_full	A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
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title_sort	a comprehensive survey on 6g and beyond: enabling technologies, opportunities of machine learning and challenges
title_auth	A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
abstract	Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that the 6G generation would have even more severe performance criteria than the 5G generation had. New sophisticated technologies and paradigms must be included into 6G network designs and procedures to satisfy the requirements and standards of the sixth generation. As a result, several publications and studies covering the relevant technologies, techniques, algorithms, and architectures have appeared in the recent few years. The current paper fills a gap in the literature by offering informative recommendations for further study of 6G networks. Connectivity targets within 6G are outlined, and the study explains the wireless progression toward 6G networks. The technologies are outlined, as are the obstacles that must be surmounted. This chapter also provides a thorough and up-to-date overview of the state of the art. Additionally, multiple classifications of 6G capabilities and techniques are provided, with an emphasis on the advantages and disadvantages of each process. In order to accelerate the advancement of 6G technologies and fulfill their needs, we also identify open problems and potential future possibilities.
abstractGer	Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that the 6G generation would have even more severe performance criteria than the 5G generation had. New sophisticated technologies and paradigms must be included into 6G network designs and procedures to satisfy the requirements and standards of the sixth generation. As a result, several publications and studies covering the relevant technologies, techniques, algorithms, and architectures have appeared in the recent few years. The current paper fills a gap in the literature by offering informative recommendations for further study of 6G networks. Connectivity targets within 6G are outlined, and the study explains the wireless progression toward 6G networks. The technologies are outlined, as are the obstacles that must be surmounted. This chapter also provides a thorough and up-to-date overview of the state of the art. Additionally, multiple classifications of 6G capabilities and techniques are provided, with an emphasis on the advantages and disadvantages of each process. In order to accelerate the advancement of 6G technologies and fulfill their needs, we also identify open problems and potential future possibilities.
abstract_unstemmed	Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that the 6G generation would have even more severe performance criteria than the 5G generation had. New sophisticated technologies and paradigms must be included into 6G network designs and procedures to satisfy the requirements and standards of the sixth generation. As a result, several publications and studies covering the relevant technologies, techniques, algorithms, and architectures have appeared in the recent few years. The current paper fills a gap in the literature by offering informative recommendations for further study of 6G networks. Connectivity targets within 6G are outlined, and the study explains the wireless progression toward 6G networks. The technologies are outlined, as are the obstacles that must be surmounted. This chapter also provides a thorough and up-to-date overview of the state of the art. Additionally, multiple classifications of 6G capabilities and techniques are provided, with an emphasis on the advantages and disadvantages of each process. In order to accelerate the advancement of 6G technologies and fulfill their needs, we also identify open problems and potential future possibilities.
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title_short	A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
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score	7.3976517

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