中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
DOI10.1109/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

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。