A Novel Radio Network Information Service (RNIS) to MEC Framework in B5G Networks

Author:

Cunha Kaíque M. R.1ORCID,Correa Sand1ORCID,Soares Fabrizzio1ORCID,Ribeiro Maria23ORCID,Moreira Waldir4ORCID,Gomes Raphael5ORCID,Freitas Leandro A.6ORCID,Oliveira-Jr Antonio16ORCID

Affiliation:

1. Institute of Informatics (INF), Federal University of Goiás (UFG), Goiânia 74690-900, Brazil

2. Institute for Systems and Computer Engineering, Technology and Science (INESC-TEC), 4200-465 Porto, Portugal

3. Faculdade de Informação e Comunicação (FIC), Federal University of Goiás (UFG), Goiânia 74690-900, Brazil

4. Fraunhofer Portugal AICOS, 4200-135 Porto, Portugal

5. Center for Experimental and Technological Studies and Research, Instituto Federal de Goiás, Goiânia 74270-040, Brazil

6. Núcleo de Estudos Aplicados a Redes de Computadores e Sistemas Distribuídos (NumbERS), Instituto Federal de Goiás, Inhumas 75402-556, Brazil

Abstract

Multi-Access Edge Computing (MEC) reduces latency, provides high-bandwidth applications with real-time performance and reliability, supporting new applications and services for the present and future Beyond the Fifth Generation (B5G). Radio Network Information Service (RNIS) plays a crucial role in obtaining information from the Radio Access Network (RAN). With the advent of 5G, RNIS requires improvements to handle information from the new generations of RAN. In this scenario, improving the RNIS is essential to boost new applications according to the strict requirements imposed. Hence, this work proposes a new RNIS as a service to the MEC framework in B5G networks to improve MEC applications. The service is validated and evaluated, and demonstrates the ability to adequately serve a large number of MEC apps (two, four, six and eight) and from 100 to 2000 types of User Equipment (UE).

Funder

Fundação Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

the Fundação de Amparo à Pesquisa do Estado de Goiás (FAPEG)—Empresa Brasileira de Pesquisa Agropecuária

the MCTIC/CGI.br/São Paulo Research Foundation (FAPESP) through the Project Smart 5GC And MUltiRAn Integration

Publisher

MDPI AG

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