IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings

Research Article

Distributed Resource Allocation Policy for Network Slicing with Inter-operator Bandwidth Borrowing

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  • @INPROCEEDINGS{10.1007/978-3-030-44751-9_8,
        author={Jiajia Chen and Jie Gong and Xiang Chen and Xijun Wang},
        title={Distributed Resource Allocation Policy for Network Slicing with Inter-operator Bandwidth Borrowing},
        proceedings={IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings},
        proceedings_a={IOTAAS},
        year={2020},
        month={6},
        keywords={Spectrum leasing Network slicing Alternating direction method of multipliers (ADMM)},
        doi={10.1007/978-3-030-44751-9_8}
    }
    
  • Jiajia Chen
    Jie Gong
    Xiang Chen
    Xijun Wang
    Year: 2020
    Distributed Resource Allocation Policy for Network Slicing with Inter-operator Bandwidth Borrowing
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-44751-9_8
Jiajia Chen, Jie Gong1, Xiang Chen,*, Xijun Wang
  • 1: Sun Yat-sen University
*Contact email: chenxiang@mail.sysu.edu.cn

Abstract

Network slicing is a novel technology to effectively provide solutions for heterogeneous mobile service requirements in 5G network. Meanwhile, the shortage of spectrum resources becomes more severe with massive access requirement of Internet-of-Things (IoT) applications. In this paper, we study how to allocate spectrum resources to satisfy the diversified traffic requirements with network slicing and improve the utilization of spectrum resources. A spectrum resource allocation model with three layers is considered, including operator layer, slice layer and user layer. At the mobile operator layer, mobile operators can borrow frequency bandwidth from one another to improve the spectrum efficiency. Then, the mobile operator allocates its frequency bandwidth to the slices according to users’ demand. At last, the slice assigns bandwidth to users. A network utility maximization problem is formulated and a distributed resource allocation algorithm is proposed based on alternating direction method of multipliers (ADMM). Simulation results show that the proposed algorithm can quickly converge to the optimal solution. In addition, the overall network utility can be effectively improved by lending or borrowing spectrum resources among operators. By adding the slice layer, the network can meet different types of service requirements.