Incentive Mechanism for Resource Allocation in Wireless Virtualized Networks with Multiple Infrastructure Providers
Chang, Z., Zhang, D., Hämäläinen, T., Han, Z., & Ristaniemi, T. (2020). Incentive Mechanism for Resource Allocation in Wireless Virtualized Networks with Multiple Infrastructure Providers. IEEE Transactions on Mobile Computing, 19(1), 103-115. https://doi.org/10.1109/TMC.2018.2889046
Published in
IEEE Transactions on Mobile ComputingDate
2020Copyright
© 2018 IEEE
To accommodate the explosively growing demands for mobile traffic service, wireless network virtualization is proposed as the main evolution towards 5G. In this work, a novel contract theoretic incentive mechanism is proposed to study how to manage the resources and provide services to the users in the wireless virtualized networks. We consider that the infrastructure providers (InPs) own the physical networks and the mobile virtual network operator (MVNO) has the service information of the users and needs to lease the physical radio resources for providing services. In particular, we utilize the contract theoretic approach to model the resource trading process between the MVNO and multiple InPs. Two scenarios are considered according to whether the information (such as the radio resource they can provide) of the InPs are globally known. Subsequently, the corresponding optimal contracts regarding the user association and transmit power allocation are derived to maximize the payoff of the MVNOs while maintaining the requirements of the InPs in the trading process. To evaluate the proposed scheme, extensive simulation studies are conducted. It can be observed that the proposed contract theoretic approach can effectively stimulate InPs’ participation, improve the payoff of the MVNO, and outperform other schemes.
...
Publisher
Institute of Electrical and Electronics EngineersISSN Search the Publication Forum
2161-9875Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/28820802
Metadata
Show full item recordCollections
Additional information about funding
The research is partially supported by US MURI AFOSR MURI 18RT0073, and US National Science Foundation CNS-1717454, CNS-1731424, CNS-1702850, CNS-1646607, and ECCS-1547201.License
Related items
Showing items with similar title or keywords.
-
Virtual resource-sharing mechanisms in software-defined and virtualized wireless network
Zhang, Di (University of Jyväskylä, 2018) -
Virtual Resource Allocation for Wireless Virtualized Heterogeneous Network with Hybrid Energy Supply
Chang, Zheng; Chen, Tao (Institute of Electrical and Electronics Engineers (IEEE), 2022)In this work, two novel virtual user association and resource allocation algorithms are introduced for a wireless virtualized heterogeneous network with hybrid energy supply. In the considered system, macro base stations ... -
Service-Oriented Wireless Virtualized Networks : An Intelligent Resource Management Approach
Hu, Yun; Chang, Zheng; Chen, Yanhui; Han, Zhu (IEEE, 2022) -
Energy efficient and distributed resource allocation for wireless powered OFDMA multi-cell networks
Chang, Zheng; Wang, Zhongyu; Guo, Xijuan; Han, Zhu; Ristaniemi, Tapani (IEEE, 2017)In this paper, we investigate the energy efficient resource allocation problem for the wireless powered OFDMA multi-cell networks. In the considered system, the users who have data to transmit in the uplink can only be ... -
Transmission Optimization and Resource Allocation for Wireless Powered Dense Vehicle Area Network With Energy Recycling
Jin, Chi; Hu, Fengye; Ling, Zhuang; Mao, Zhi; Chang, Zheng; Li, Cheng (Institute of Electrical and Electronics Engineers (IEEE), 2022)The wireless-powered communication paradigm brings self-sustainability to the on-vehicle sensors by harvesting the energy from radiated radio frequency (RF) signals. This paper proposes a novel transmission and resource ...