Credit Payment for Radio Resources Transactions Based on Consortium Blockchain in SCMA mMTC
SUN Jun1, XIONG Guan2
1. Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Jiangsu, Nanjing 210003, China;
2. College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Jiangsu, Nanjing 210003, China
Abstract:The radio resources trading happened between the MTCGs and the LTE users.The credit degrees are built among the MTCGs according to the free radio resources trading based on the consortium blockchain.A consortium blockchain has been established on the BSs for publicly auditing and sharing of transaction records without depending on the trusted third parties.The resource transaction records are uploaded to the BS after encryption.After the transaction records pass the review and consensus process,the new blocks are stored on the BSs that can be accessed publicly by MTCGs,LTE users and the BSs connected to the consortium blockchain.In order to maximize the benefits of the system and support frequent resource transactions,a credit-based payment scheme and the corresponding optimal pricing strategy are proposed.
[1] Zheng K,Ou S,Alonso-Zarate J,et al.Challenges of massive access in highly dense lte-advanced networks with machine-to-machine communications[J].IEEE Wireless Communications,2014,21(3):12-18.
[2] Nikopour H,Baligh H.Sparse code multiple access[A].Personal Indoor and Mobile Radio Communications[C].London:IEEE,2013,332-336.
[3] Haykin S.Cognitive radio:brain-empowered wireless communications[J].IEEE Journal on Selected Areas in Communications,2005,23(2):201-220.
[4] Kang J,YU R,Huang S,et al.Enabling localized peer-to-peer electricity trading among plug-in hybrid electric vehicle using consortium blockchains[J].IEEE Transactions on Industrial Informatics,2017,13(6):3154-3164.
[5] Niyato D,Hossain E.Spectrum trading in cognitive radio networks:a market-equilibrium-based approach[J].IEEE Wireless Communications,2008,15(6):71-80.
[6] Aitzhan Z N,Svetinovic D.Security and privacy in decentralized energy trading through multi-signatures,blockchain and anonymous messaging streams[J].IEEE Transactions on Dependable and Secure Computing,2018,15(5):840-852.
[7] Yu D,He S,Huang Y,et al.A fast parallel matrix inversion algorithm based on heterogeneous multicore architectures[A].2015 IEEE Global Conference on Signal and Information Processing[C].2015.903-907.
[8] Castro M,Liskov B.Practical Byzantinefault tolerance[A].Symposium on Operating Systems Design and Implementation[C].USENIX Association,1999.173-186.
[9] Li Z,Kang J,Yu R,et al.Consortium blockchain for secure energy trading in industrial internet of things[J].IEEE Transactions on Industrial Informatics,2018,14(8):3690-3700.
[10] Wang J,et al.Perverse nudges:Minimum payments and debt paydown in consumer credit cards[A].Society for Economic Dynamics[C].TORONTO:Penn Wharton Public Policy Initiative,2014.Book 25.
[11] Tushar W,Chai B,Yuen C,et al.Energy management for a user interactive smart community:A Stackelberg game approach[A].IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA)[C].Kuala:IEEE,2014.709-714.
[12] Maharjan S,Zhu Q,Zhang Y,et al.Dependable demand response management in the smart grid:a stackelberg game approach[J].IEEE Transactions on Smart Grid,2018,4(1):120-132.
[13] Su Z,Xu Q,Hui Y,et al.A game theoretic approach to parked vehicle assisted content delivery in vehicular Ad hoc networks[J].IEEE Transactions on Vehicular Technology,2017,66(7):6461-6474.
[14] Linn L A,et al,Blockchain for health data and its potential use in health it and health care related research[A].ONC/NIST Use of Blockchain for Healthcare and Research Workshop[C].Gaithersburg,Maryland,United States:ONC/NIST;2016.
[15] Lending Club Loan Data[EB/OL],Available:https://www.kaggle.com/wendykan/lending-club-loan-data.2016.