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Dong In Kim | Zehui Xiong | Dusit Niyato | Nguyen Cong Luong | Tran The Anh | D. Niyato | D. Kim | Zehui Xiong
[1] P. Consul,et al. A Generalization of the Poisson Distribution , 1973 .
[2] Ghassan O. Karame,et al. Double-spending fast payments in bitcoin , 2012, CCS.
[3] David Wetherall,et al. Ambient backscatter: wireless communication out of thin air , 2013, SIGCOMM.
[4] J. Koenderink. Q… , 2014, Les noms officiels des communes de Wallonie, de Bruxelles-Capitale et de la communaute germanophone.
[5] Meni Rosenfeld,et al. Analysis of Hashrate-Based Double Spending , 2014, ArXiv.
[6] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[7] Tom Schaul,et al. Dueling Network Architectures for Deep Reinforcement Learning , 2015, ICML.
[8] Tim Roughgarden,et al. Incentive Compatibility of Bitcoin Mining Pool Reward Functions , 2016, Financial Cryptography.
[9] Dong In Kim,et al. Optimal Data Scheduling and Admission Control for Backscatter Sensor Networks , 2017, IEEE Transactions on Communications.
[10] Liming Zhu,et al. Blockchain Based Data Integrity Service Framework for IoT Data , 2017, 2017 IEEE International Conference on Web Services (ICWS).
[11] Walid Saad,et al. Liquid State Machine Learning for Resource Allocation in a Network of Cache-Enabled LTE-U UAVs , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.
[12] Ricardo Neisse,et al. A Blockchain-based Approach for Data Accountability and Provenance Tracking , 2017, ARES.
[13] Jitender S. Deogun,et al. Identity management using blockchain for cognitive cellular networks , 2017, 2017 IEEE International Conference on Communications (ICC).
[14] Khashayar Kotobi,et al. Blockchain-enabled spectrum access in cognitive radio networks , 2017, 2017 Wireless Telecommunications Symposium (WTS).
[15] Ingo Weber,et al. On Availability for Blockchain-Based Systems , 2017, 2017 IEEE 36th Symposium on Reliable Distributed Systems (SRDS).
[16] Yanhua Zhang,et al. A Big Data Deep Reinforcement Learning Approach to Next Generation Green Wireless Networks , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.
[17] Mubashir Husain Rehmani,et al. Cognitive-Radio-Based Internet of Things: Applications, Architectures, Spectrum Related Functionalities, and Future Research Directions , 2017, IEEE Wireless Communications.
[18] Ying-Chang Liang,et al. Riding on the Primary: A New Spectrum Sharing Paradigm for Wireless-Powered IoT Devices , 2018, IEEE Transactions on Wireless Communications.
[19] Qiang Ma,et al. Channel-Aware Rate Adaptation for Backscatter Networks , 2018, IEEE/ACM Transactions on Networking.
[20] Eryk Dutkiewicz,et al. Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).
[21] Guan Gui,et al. Throughput Maximization for Hybrid Backscatter Assisted Cognitive Wireless Powered Radio Networks , 2018, IEEE Internet of Things Journal.
[22] Bhaskar Krishnamachari,et al. Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks , 2018, IEEE Transactions on Cognitive Communications and Networking.
[23] Zhu Han,et al. Wireless Powered Asynchronous Backscatter Networks With Sporadic Short Packets: Performance Analysis and Optimization , 2018, IEEE Internet of Things Journal.
[24] Abraham O. Fapojuwo,et al. Sum-Throughput Maximization in Wireless Sensor Networks With Radio Frequency Energy Harvesting and Backscatter Communication , 2018, IEEE Sensors Journal.
[25] Khaled Salah,et al. IoT security: Review, blockchain solutions, and open challenges , 2017, Future Gener. Comput. Syst..
[26] Guan Gui,et al. The Optimal Control Policy for RF-Powered Backscatter Communication Networks , 2018, IEEE Transactions on Vehicular Technology.
[27] Mehdi Dehghan,et al. A framework for cognitive Internet of Things based on blockchain , 2018, 2018 4th International Conference on Web Research (ICWR).
[28] Ying-Chang Liang,et al. Hybrid Ambient Backscatter Communication Systems With Harvest-Then-Transmit Protocols , 2018, IEEE Access.
[29] Dong In Kim,et al. Stackelberg Game for Distributed Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks , 2018, IEEE Transactions on Wireless Communications.
[30] Dusit Niyato,et al. Auction-Based Time Scheduling for Backscatter-Aided RF-Powered Cognitive Radio Networks , 2019, IEEE Transactions on Wireless Communications.
[31] Victor C. M. Leung,et al. Blockchain-Based Decentralized Trust Management in Vehicular Networks , 2019, IEEE Internet of Things Journal.
[32] Gulshan Kumar,et al. Proof-of-Work Consensus Approach in Blockchain Technology for Cloud and Fog Computing Using Maximization-Factorization Statistics , 2019, IEEE Internet of Things Journal.
[33] Ying-Chang Liang,et al. Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[34] Ying-Chang Liang,et al. Applications of Deep Reinforcement Learning in Communications and Networking: A Survey , 2018, IEEE Communications Surveys & Tutorials.
[35] Ying-Chang Liang,et al. Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks , 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC).
[36] Seong-Lyun Kim,et al. Blockchained On-Device Federated Learning , 2018, IEEE Communications Letters.