Heterogeneous Computational Resource Allocation for C-RAN: A Contract-Theoretic Approach

doi:10.1109/TSC.2019.2911509

	Heterogeneous Computational Resource Allocation for C-RAN: A Contract-Theoretic Approach
	Gao, Mingjin 1,2; Shen, Rujing 1,2,3; Yan, Shihao 4; Li, Jun 5,6,7; Guan, Haibing 8; Li, Yonghui 9; Shi, Jinglin 1,2; Han, Zhu 10,11
	2021-11-01
发表期刊	IEEE TRANSACTIONS ON SERVICES COMPUTING
ISSN	1939-1374
卷号	14 期号:6 页码:2026-2040
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.
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
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000728144600033
出版者	IEEE COMPUTER SOC
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/18075
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.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 4.Macquarie Univ, Sch Engn, Sydney, NSW 2109, Australia 5.Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Peoples R China 6.Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R China 7.Natl Res Tomsk Polytech Univ, Sch Comp Sci & Robot, Tomsk 634050, Russia 8.Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Dept Comp Sci & Engn, Shanghai 200240, Peoples R China 9.Univ Sydney, Sch Elect & Informat Engn, Camperdown, NSW 2006, Australia 10.Univ Houston, Houston, TX 77004 USA 11.Kyung Hee Univ, Dept Comp Sci & Engn, Seoul 446701, South Korea
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.