High Spectrum Efficiency Wireless Resource Management Based on Network Slicing

doi:10.13190/j.jbupt.2018-235

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2019, Vol. 42 ›› Issue (4): 50-56.doi: 10.13190/j.jbupt.2018-235

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High Spectrum Efficiency Wireless Resource Management Based on Network Slicing

LI Qiang¹, LU Chang-long², CAO Bin^1,3, ZHANG Qin-yu^1,3

1. School of Electronic and Information Engineering, Harbin Institute of Technology(Shenzhen), Guangdong Shenzhen 518055, China;
2. School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jiangxi Jingdezhen 333000, China;
3. Shenzhen Cyberspace Laboratory, Guangdong Shenzhen 518055, China

Received:2018-09-18 Online:2019-08-28 Published:2019-08-26

Abstract

Abstract: In order to meet the quality of service requirements of different types of users in different application scenarios and improve spectrum efficiency, the wireless resource allocation model is constructed based on network slicing. In order to obtain the optimal resource allocation scheme, the quality of service requirements of users are transformed into the wireless resources requirements, and the wireless resource optimization problem is formulated with the goal of maximizing the total system rate. Since the optimization is a mixed integer nonlinear optimization, the complexity of optimal solution is considerably high. A solution based on Lagrange duality is proposed and the solving algorithm is given. Finally, compared with the proportional fairness algorithm and the maximum system capacity algorithm, the simulation results show that the proposed algorithm improves the system capacity while sacrificing partial fairness, which verifies the effectiveness of the proposed algorithm.

Key words: network slicing, resource allocation, quality of service, spectrum efficiency

CLC Number:

TN929.53

LI Qiang, LU Chang-long, CAO Bin, ZHANG Qin-yu. High Spectrum Efficiency Wireless Resource Management Based on Network Slicing[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(4): 50-56.

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High Spectrum Efficiency Wireless Resource Management Based on Network Slicing

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