2021
DOI: 10.3390/jsan10040060
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Trends in Intelligent Communication Systems: Review of Standards, Major Research Projects, and Identification of Research Gaps

Abstract: The increasing complexity of communication systems, following the advent of heterogeneous technologies, services and use cases with diverse technical requirements, provide a strong case for the use of artificial intelligence (AI) and data-driven machine learning (ML) techniques in studying, designing and operating emerging communication networks. At the same time, the access and ability to process large volumes of network data can unleash the full potential of a network orchestrated by AI/ML to optimise the us… Show more

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Cited by 15 publications
(11 citation statements)
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“…One of the most considerable advantages of BD, realistically, is predictive analysis. BID analytics tools can accurately predict possible outcomes, thereby allowing businesses and nonprofit organizations to make better decisions while simultaneously optimizing their operational efficiencies and appreciably reducing decision risks [65]. Therefore, the valuable information carefully extracted from BID analytics is rapidly transforming the principal media into an artificial ecosystem.…”
Section: Intelligent Communication Modelmentioning
confidence: 99%
“…One of the most considerable advantages of BD, realistically, is predictive analysis. BID analytics tools can accurately predict possible outcomes, thereby allowing businesses and nonprofit organizations to make better decisions while simultaneously optimizing their operational efficiencies and appreciably reducing decision risks [65]. Therefore, the valuable information carefully extracted from BID analytics is rapidly transforming the principal media into an artificial ecosystem.…”
Section: Intelligent Communication Modelmentioning
confidence: 99%
“…The surge of cloud computing and communication network connects the related industries, unleashing the full potential of the industrial network orchestrated by machine learning and AI due to their capability to collect and generate large volume of network data. 3 Moreover, AI-based control algorithms, characterized by robust autonomous learning and the ability to handle complexity, have revitalized various control schemes and led to new research avenues. 4 Consequently, a very important technological orientation of industrial intelligence is the systematic study of intelligent control.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, there has been a trend toward implementing comprehensive intelligence in industrial production. The surge of cloud computing and communication network connects the related industries, unleashing the full potential of the industrial network orchestrated by machine learning and AI due to their capability to collect and generate large volume of network data 3 . Moreover, AI‐based control algorithms, characterized by robust autonomous learning and the ability to handle complexity, have revitalized various control schemes and led to new research avenues 4 .…”
Section: Introductionmentioning
confidence: 99%
“…Fortunately, NextG networks can meet these 31 requirements and support these applications with advanced 32 communication, computing, and Artificial Intelligence (AI) 33 technologies. AI is an extraordinary contributor among 34 them to innovative technologies in NextG networks [3]. 35 Intelligent Reflecting Surfaces (IRS) is one of those innovative technologies, in addition to Massive Multiple-Input Multiple-Output (MIMO) and millimeter wave, to improve the performance of NextG wireless networks in terms of data rate and channel capacity.…”
Section: Introductionmentioning
confidence: 99%