Research on allocation method based on network slicing technology

Yuxuan Wang; Zhihan Wang

doi:10.1117/12.2624875

13 December 2021 Research on allocation method based on network slicing technology

Yuxuan Wang, Zhihan Wang

Proceedings Volume 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021); 120870C (2021) https://doi.org/10.1117/12.2624875
Event: International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 2021, Kunming, China

Abstract

The emerging 5G communication technology has three features: enhanced mobile broadband (eMBB) based on the definition of 3GPP, Massive Machine Type Communication (mMTC), as well as Ultra-reliable and Low Latency Communication (uRLLC), which play a great role in promoting the smart city. Given the 5G network's important role in smart cities, research on the 5G network is becoming more and more important. However, there are inevitable challenges in constructing a 5G network, such as resource allocation and other issues. Based on the problem faced by the 5G network, this paper studies the following aspects: firstly, the main challenges of the network are discussed. Secondly, resource allocation is selected as the main research direction. Finally, the feasibility and effectiveness of network slicing technology for resource allocation are analyzed and discussed. At the same time, this paper also compares the more cutting-edge research results in related fields. The research in this paper is helpful to sort out the research status of resource allocation in the 5G network and look forward to the rational allocation of resources in the future to promote the development of a 5G+ smart city.

Citation Download Citation

Yuxuan Wang and Zhihan Wang "Research on allocation method based on network slicing technology", Proc. SPIE 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 120870C (13 December 2021); https://doi.org/10.1117/12.2624875

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