5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches
Antennas; Energy efficiency; Machine learning; Natural resources management; Network function virtualization; Radio communication; Radio transmission; Resource allocation; Time division multiplexing; Exponential increase; Interference management; Machine learning methods; Radio resource management;...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-265022023-05-29T17:11:16Z 5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches Samidi F.S. Radzi N.A.M. Ahmad W.S.H.M.W. Abdullah F. Jamaludin M.Z. Ismail A. 57215054855 57218936786 25928314500 56613644500 57216839721 36023817800 Antennas; Energy efficiency; Machine learning; Natural resources management; Network function virtualization; Radio communication; Radio transmission; Resource allocation; Time division multiplexing; Exponential increase; Interference management; Machine learning methods; Radio resource management; Resource management schemes; Rule based algorithms; Time division duplex; Transmission power; 5G mobile communication systems The Internet of Everything is currently in demand and has burdened the network tremendously. Accommodating this exponential increase in demand will require improved Radio Resource Management technology. This problem can be curbed with higher spectrum bands, reevaluation of Time Division Duplex, deployment of Software Defined Network, and Network Function Virtualization into 5G New Radio (NR) network. Therefore, this work aims to provide an in-depth survey on the recent resource management schemes that can be proposed for 5G NR enhancement by exploiting both rule-based algorithms and machine learning methods. Radio resource management consists of managing user allocation, the antenna transmission power, bandwidth, and modulation scheme. Therefore, in this paper, three categories of radio resource management technologies are introduced: resource allocation, energy efficiency, and interference management. The discussion revolves around their potentials and contributions as well as challenges faced to produce efficient 5G resource management schemes. � 2013 IEEE. Final 2023-05-29T09:11:16Z 2023-05-29T09:11:16Z 2021 Article 10.1109/ACCESS.2021.3104277 2-s2.0-85113337420 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113337420&doi=10.1109%2fACCESS.2021.3104277&partnerID=40&md5=5ca2905eb7b6b312cdaea358278f08d5 https://irepository.uniten.edu.my/handle/123456789/26502 9 9512094 113850 113865 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus |
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Antennas; Energy efficiency; Machine learning; Natural resources management; Network function virtualization; Radio communication; Radio transmission; Resource allocation; Time division multiplexing; Exponential increase; Interference management; Machine learning methods; Radio resource management; Resource management schemes; Rule based algorithms; Time division duplex; Transmission power; 5G mobile communication systems |
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57215054855 |
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57215054855 Samidi F.S. Radzi N.A.M. Ahmad W.S.H.M.W. Abdullah F. Jamaludin M.Z. Ismail A. |
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Samidi F.S. Radzi N.A.M. Ahmad W.S.H.M.W. Abdullah F. Jamaludin M.Z. Ismail A. |
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Samidi F.S. Radzi N.A.M. Ahmad W.S.H.M.W. Abdullah F. Jamaludin M.Z. Ismail A. 5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches |
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Samidi F.S. |
title |
5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches |
title_short |
5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches |
title_full |
5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches |
title_fullStr |
5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches |
title_full_unstemmed |
5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches |
title_sort |
5g new radio: dynamic time division duplex radio resource management approaches |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
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1806427396234018816 |
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13.18916 |