Matches in SemOpenAlex for { <https://semopenalex.org/work/W3127355490> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W3127355490 endingPage "23488" @default.
- W3127355490 startingPage "23472" @default.
- W3127355490 abstract "Wireless communication systems play a very crucial role in modern society for entertainment, business, commercial, health and safety applications. These systems keep evolving from one generation to next generation and currently we are seeing deployment of fifth generation (5G) wireless systems around the world. Academics and industries are already discussing beyond 5G wireless systems which will be sixth generation (6G) of the evolution. One of the main and key components of 6G systems will be the use of Artificial Intelligence (AI) and Machine Learning (ML) for such wireless networks. Every component and building block of a wireless system that we currently are familiar with from our knowledge of wireless technologies up to 5G, such as physical, network and application layers, will involve one or another AI/ML techniques. This overview paper, presents an up-to-date review of future wireless system concepts such as 6G and role of ML techniques in these future wireless systems. In particular, we present a conceptual model for 6G and show the use and role of ML techniques in each layer of the model. We review some classical and contemporary ML techniques such as supervised and un-supervised learning, Reinforcement Learning (RL), Deep Learning (DL) and Federated Learning (FL) in the context of wireless communication systems. We conclude the paper with some future applications and research challenges in the area of ML and AI for 6G networks." @default.
- W3127355490 created "2021-02-15" @default.
- W3127355490 creator A5030755294 @default.
- W3127355490 creator A5031927335 @default.
- W3127355490 creator A5047445338 @default.
- W3127355490 creator A5065309356 @default.
- W3127355490 creator A5079717057 @default.
- W3127355490 date "2021-01-01" @default.
- W3127355490 modified "2023-10-10" @default.
- W3127355490 title "Machine Learning Techniques for 5G and Beyond" @default.
- W3127355490 cites W1902748306 @default.
- W3127355490 cites W2053279442 @default.
- W3127355490 cites W2076063813 @default.
- W3127355490 cites W2118167481 @default.
- W3127355490 cites W2161992584 @default.
- W3127355490 cites W2193279092 @default.
- W3127355490 cites W2294511912 @default.
- W3127355490 cites W2891564944 @default.
- W3127355490 cites W2892077825 @default.
- W3127355490 cites W2910531128 @default.
- W3127355490 cites W2926519916 @default.
- W3127355490 cites W2929612105 @default.
- W3127355490 cites W2964101383 @default.
- W3127355490 cites W2964248614 @default.
- W3127355490 cites W2964474528 @default.
- W3127355490 cites W2981096252 @default.
- W3127355490 cites W2997275652 @default.
- W3127355490 cites W2998266342 @default.
- W3127355490 cites W2999561085 @default.
- W3127355490 cites W3000094279 @default.
- W3127355490 cites W3007749181 @default.
- W3127355490 cites W3008695648 @default.
- W3127355490 cites W3013411140 @default.
- W3127355490 cites W3043953517 @default.
- W3127355490 cites W3059813204 @default.
- W3127355490 cites W3099136274 @default.
- W3127355490 cites W3102859365 @default.
- W3127355490 doi "https://doi.org/10.1109/access.2021.3051557" @default.
- W3127355490 hasPublicationYear "2021" @default.
- W3127355490 type Work @default.
- W3127355490 sameAs 3127355490 @default.
- W3127355490 citedByCount "92" @default.
- W3127355490 countsByYear W31273554902021 @default.
- W3127355490 countsByYear W31273554902022 @default.
- W3127355490 countsByYear W31273554902023 @default.
- W3127355490 crossrefType "journal-article" @default.
- W3127355490 hasAuthorship W3127355490A5030755294 @default.
- W3127355490 hasAuthorship W3127355490A5031927335 @default.
- W3127355490 hasAuthorship W3127355490A5047445338 @default.
- W3127355490 hasAuthorship W3127355490A5065309356 @default.
- W3127355490 hasAuthorship W3127355490A5079717057 @default.
- W3127355490 hasBestOaLocation W31273554901 @default.
- W3127355490 hasConcept C105339364 @default.
- W3127355490 hasConcept C108037233 @default.
- W3127355490 hasConcept C115903868 @default.
- W3127355490 hasConcept C119857082 @default.
- W3127355490 hasConcept C151730666 @default.
- W3127355490 hasConcept C154945302 @default.
- W3127355490 hasConcept C2779343474 @default.
- W3127355490 hasConcept C41008148 @default.
- W3127355490 hasConcept C555944384 @default.
- W3127355490 hasConcept C76155785 @default.
- W3127355490 hasConcept C86803240 @default.
- W3127355490 hasConceptScore W3127355490C105339364 @default.
- W3127355490 hasConceptScore W3127355490C108037233 @default.
- W3127355490 hasConceptScore W3127355490C115903868 @default.
- W3127355490 hasConceptScore W3127355490C119857082 @default.
- W3127355490 hasConceptScore W3127355490C151730666 @default.
- W3127355490 hasConceptScore W3127355490C154945302 @default.
- W3127355490 hasConceptScore W3127355490C2779343474 @default.
- W3127355490 hasConceptScore W3127355490C41008148 @default.
- W3127355490 hasConceptScore W3127355490C555944384 @default.
- W3127355490 hasConceptScore W3127355490C76155785 @default.
- W3127355490 hasConceptScore W3127355490C86803240 @default.
- W3127355490 hasFunder F4320335726 @default.
- W3127355490 hasLocation W31273554901 @default.
- W3127355490 hasLocation W31273554902 @default.
- W3127355490 hasOpenAccess W3127355490 @default.
- W3127355490 hasPrimaryLocation W31273554901 @default.
- W3127355490 hasRelatedWork W2021850411 @default.
- W3127355490 hasRelatedWork W2536344710 @default.
- W3127355490 hasRelatedWork W2961085424 @default.
- W3127355490 hasRelatedWork W3113137637 @default.
- W3127355490 hasRelatedWork W4286629047 @default.
- W3127355490 hasRelatedWork W4306674287 @default.
- W3127355490 hasRelatedWork W4312263439 @default.
- W3127355490 hasRelatedWork W4318423191 @default.
- W3127355490 hasRelatedWork W2477570907 @default.
- W3127355490 hasRelatedWork W4224009465 @default.
- W3127355490 hasVolume "9" @default.
- W3127355490 isParatext "false" @default.
- W3127355490 isRetracted "false" @default.
- W3127355490 magId "3127355490" @default.
- W3127355490 workType "article" @default.