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DC Field | Value | Language |
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dc.contributor.author | Dash, A | - |
dc.contributor.author | Pradhan, Devasis | - |
dc.contributor.author | Tun, Hla Myo | - |
dc.contributor.author | Naing, Zaw Min | - |
dc.date.accessioned | 2022-10-21T09:41:34Z | - |
dc.date.available | 2022-10-21T09:41:34Z | - |
dc.date.issued | 2022-09 | - |
dc.identifier.citation | Dash, A., Pradhan, Devasis.,Tun, Hla Myo & Naing, Zaw Min. (2022). m-MTC for Optimized Communication in 5G. Journal of Network Security Computer Networks, 8(3),1-8. | en_US |
dc.identifier.uri | http://13.232.72.61:8080/jspui/handle/123456789/5895 | - |
dc.description | use only for the academic purpose | en_US |
dc.description.abstract | As of late presented 5G New Radio is the primary remote standard intended to help basic and massive machine-type interchanges (m-MTC). Notwithstanding, it is previously becoming apparent that a portion of the additional requesting prerequisites for MTC cannot be completely upheld by 5G organizations. Close by, arising use cases and applications towards 2030 will lead to new and more rigid necessities on remote network and MTC specifically. This new age of portable correspondence frameworks will in general turn into an innovation stage that will empower the improvement of new applications, plans of action, and ventures, for example, huge machine-type correspondences. This will be conceivable through making a satisfactory environment that could give monstrous machine-type correspondence utilizing a solitary stage in light of the Internet of Things (IoT) idea. This paper reflects the brief importance of massiveness of machine type communication in 5G eras with challenges and other important issues. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Journal of Network Security Computer Networks | en_US |
dc.subject | MTC | en_US |
dc.subject | Random access | en_US |
dc.subject | Sensors | en_US |
dc.subject | u-RLC | en_US |
dc.title | m-MTC for Optimized Communication in 5G | en_US |
dc.type | Article | en_US |
Appears in Collections: | Articles |
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Article 1.pdf | 303.92 kB | Adobe PDF | View/Open |
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