Heterogeneous Computational Resource Allocation for C-RAN: A Contract-Theoretic Approach
文献类型:期刊论文
作者 | Gao, Mingjin10,11; Shen, Rujing9,10,11; Yan, Shihao8; Li, Jun5,6,7; Guan, Haibing4; Li, Yonghui3; Shi, Jinglin10,11; Han, Zhu1,2 |
刊名 | IEEE TRANSACTIONS ON SERVICES COMPUTING |
出版日期 | 2021-11-01 |
卷号 | 14期号:6页码:2026-2040 |
ISSN号 | 1939-1374 |
关键词 | Contracts Resource management Indium phosphide III-V semiconductor materials Base stations Closed-form solutions Computer science Heterogeneous computational resources allocation virtualized base station cloud-RAN cellular networks contract theory incentive mechanism |
DOI | 10.1109/TSC.2019.2911509 |
英文摘要 | In this work, we develop a contract theory framework to tackle the allocations of heterogeneous baseband processing units (BBUs) in cloud radio access network. We first model a monopoly market by viewing the BBUs as a kind of resource. The infrastructure provider (InP), as the monopolist, owns all the heterogeneous BBUs of different processing abilities and maintaining costs, and leases them to multiple mobile network operators (MNOs) to gain profit. At the same time, the MNOs intend to rent reasonable amount of BBUs to provide services to their mobile clients. Then we propose a contract theory framework, in which contract items are optimized to maximize the InP's utility, while maintain the welfare of the MNOs. We design the optimal contracts with complete and asymmetric information on the MNOs. Our contract design achieves the near optimum solution to heterogeneous computational resource allocation even under the information asymmetric case. Our derivations indicate that the optimal contracts with asymmetric information achieve a lower utility for the InP than the ones with complete information and the utility reduction is higher when the BBUs are heterogeneous rather than homogeneous. Numerical results demonstrate that, the InP having heterogeneous BBUs can achieve a higher utility relative to having homogeneous BBUs, which is more profitable and realistic for the InP. Moreover, we regard Stackelberg game theoretic approach as a comparison, and show that our method is more realistic. |
资助项目 | National Key RD Program[2018YFB1004800] ; National Natural Science Foundation of China[61431001] ; US MURI AFOSR MURI[18RT0073] ; NSF[CNS-1717454] ; NSF[CNS-1731424] ; NSF[CNS-1702850] ; NSF[CNS-1646607] |
WOS研究方向 | Computer Science |
语种 | 英语 |
出版者 | IEEE COMPUTER SOC |
WOS记录号 | WOS:000728144600033 |
源URL | [http://119.78.100.204/handle/2XEOYT63/18074] |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Li, Jun |
作者单位 | 1.Kyung Hee Univ, Dept Comp Sci & Engn, Seoul 446701, South Korea 2.Univ Houston, Houston, TX 77004 USA 3.Univ Sydney, Sch Elect & Informat Engn, Camperdown, NSW 2006, Australia 4.Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Dept Comp Sci & Engn, Shanghai 200240, Peoples R China 5.Natl Res Tomsk Polytech Univ, Sch Comp Sci & Robot, Tomsk 634050, Russia 6.Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R China 7.Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Peoples R China 8.Macquarie Univ, Sch Engn, Sydney, NSW 2109, Australia 9.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 10.Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Gao, Mingjin,Shen, Rujing,Yan, Shihao,et al. Heterogeneous Computational Resource Allocation for C-RAN: A Contract-Theoretic Approach[J]. IEEE TRANSACTIONS ON SERVICES COMPUTING,2021,14(6):2026-2040. |
APA | Gao, Mingjin.,Shen, Rujing.,Yan, Shihao.,Li, Jun.,Guan, Haibing.,...&Han, Zhu.(2021).Heterogeneous Computational Resource Allocation for C-RAN: A Contract-Theoretic Approach.IEEE TRANSACTIONS ON SERVICES COMPUTING,14(6),2026-2040. |
MLA | Gao, Mingjin,et al."Heterogeneous Computational Resource Allocation for C-RAN: A Contract-Theoretic Approach".IEEE TRANSACTIONS ON SERVICES COMPUTING 14.6(2021):2026-2040. |
入库方式: OAI收割
来源:计算技术研究所
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