Resource Management in 5G Mobile Networks: Survey and Challenges


Wei-Che Chie, Shih-Yun Huang, Chin-Feng Lai, Han-Chieh Chao, Journal of Information Processing Systems Vol. 16, No. 4, pp. 896-914, Aug. 2020  

10.3745/JIPS.03.0143
Keywords: Cloud computing, Edge Computing, Network Slicing, resource management, 5G, 5G RAN Techniques
Fulltext:

Abstract

With the rapid growth of network traffic, a large number of connected devices, and higher application services, the traditional network is facing several challenges. In addition to improving the current network architecture and hardware specifications, effective resource management means the development trend of 5G. Although many existing potential technologies have been proposed to solve the some of 5G challenges, such as multipleinput multiple-output (MIMO), software-defined networking (SDN), network functions virtualization (NFV), edge computing, millimeter-wave, etc., research studies in 5G continue to enrich its function and move toward B5G mobile networks. In this paper, focusing on the resource allocation issues of 5G core networks and radio access networks, we address the latest technological developments and discuss the current challenges for resource management in 5G.


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Cite this article
[APA Style]
Wei-Che Chie, Shih-Yun Huang, Chin-Feng Lai, & Han-Chieh Chao (2020). Resource Management in 5G Mobile Networks: Survey and Challenges. Journal of Information Processing Systems, 16(4), 896-914. DOI: 10.3745/JIPS.03.0143.

[IEEE Style]
W. Chie, S. Huang, C. Lai and H. Chao, "Resource Management in 5G Mobile Networks: Survey and Challenges," Journal of Information Processing Systems, vol. 16, no. 4, pp. 896-914, 2020. DOI: 10.3745/JIPS.03.0143.

[ACM Style]
Wei-Che Chie, Shih-Yun Huang, Chin-Feng Lai, and Han-Chieh Chao. 2020. Resource Management in 5G Mobile Networks: Survey and Challenges. Journal of Information Processing Systems, 16, 4, (2020), 896-914. DOI: 10.3745/JIPS.03.0143.