Multi-Service Resource Allocation in Future Network With Wireless Virtualization

被引:15
|
作者
Li, Letian [1 ]
Deng, Na [2 ]
Ren, Weilong [1 ]
Kou, Baohua [3 ]
Zhou, Wuyang [1 ]
Yu, Shui [4 ]
机构
[1] Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230026, Anhui, Peoples R China
[2] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[3] China Telecom Satellite Commun, Beijing 100190, Peoples R China
[4] Univ Technol Sydney, Sch Software, Sydney, NSW 2007, Australia
来源
IEEE ACCESS | 2018年 / 6卷
基金
中国国家自然科学基金;
关键词
Multi-service; resource allocation; user scheduling; wireless virtualization; PACKET SCHEDULING ALGORITHM; MACHINE-TYPE COMMUNICATIONS; CELLULAR NETWORKS; OFDMA SYSTEMS; CHALLENGES; UTILITY; ACCESS; STATE; GAME;
D O I
10.1109/ACCESS.2018.2871506
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Future network is envisioned to be a multi-service network which can support various types of terminal devices with diverse quality of service requirements. As one of the key technologies, wireless virtualization establishes different virtual networks dependent on different application scenarios and user requirements through flexibly slicing and sharing wireless resources in future networks. In this paper, we first propose a service-centric wireless virtualization model to slice network according to service types. In this model, how to share and slice wireless resource is one of the fundamental issues to be addressed. Therefore, we formulate and solve a multi-service resource allocation problem to realize spectrum virtualization. Different from the existing strategies, we decouple the multi-service resource allocation problem in the proposed virtualization model to make it easier to solve. Specifically, it is solved in two stages: inter-slice resource allocation and intra-slice resource scheduling. In the first stage, we formulate the inter-slice resource allocation as a discrete optimization problem and propose a heuristic algorithm to get sub-optimal solution of this NP-hard problem. In the second stage, we modify several existing scheduling algorithms suitable for scheduling users of several specific services. Numerical results show the superiority of the proposed scheduling algorithms over the existing ones when applied to schedule specific services. Moreover, proposed resource allocation scheme is verified to meet the properties of virtualization and solves the multi-service resource allocation problem well.
引用
收藏
页码:53854 / 53868
页数:15
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