Energy-Efficient Spectrum Sharing for 6G Ubiquitous IoT Networks Through Blockchain

被引：13

作者：

Sun, Zhenqiang ^{[1
]}

Qi, Fei ^{[1
]}

Liu, Lei ^{[1
]}

Xing, Yanxia ^{[1
]}

Xie, Weiliang ^{[1
]}

机构：

[1] China Telecom Res Inst, Mobile Commun Technol Dept, Beijing 102209, Peoples R China

来源：

IEEE INTERNET OF THINGS JOURNAL | 2023年 / 10卷 / 11期

关键词：

Blockchains; 6G mobile communication; Internet of Things; Energy efficiency; Cloud computing; Wireless communication; Satellites; Blockchain; sixth-generation mobile communication technology (6G); spectrum sharing; Ubiquitous IoT (UIoT)%;

D O I：

10.1109/JIOT.2022.3224849

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Ubiquitous Internet of Things (UIoT) is required a 3-D network that stretches from space to air to earth. It involves numerous network components, such as satellites, HAPs, UAVs, terrestrial cellular networks, data centers, terrestrial gateways, as well as sharing and openness among operators. Correspondingly, wireless spectrum sharing becomes essential to energy efficiency and, thus, has to be investigated for green UIoT. Meanwhile, both blockchain and sixth-generation mobile communication technology hybrid cloud are recently intriguing technologies, and the enormous potential of combining the two has grown in prominence. For the reason of dependability and security, these two technologies are proposed to apply to spectrum sharing among UIoT devices. Particularly the blockchain's unique smart contract technology can well complete the spectrum sharing procedure, as verified by the numerical results from our simulation study.

引用

页码：9342 / 9352

页数：11

共 18 条

[1] Toward a Decentralized, Trust-less Marketplace for Brokered IoT Data Trading using Blockchain [J].

Bajoudah, Shaimaa ;

Dong, Changyu ;

Missier, Paolo .

2019 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2019), 2019, :339-346

[2] A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing [J].

Doshi, Akash ;

Yerramalli, Srinivas ;

Ferrari, Lorenzo ;

Yoo, Taesang ;

Andrews, Jeffrey G. .

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021, 39 (08) :2526-2540

[3]

Farr Zachary, 2020, 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), P0188, DOI 10.1109/IEMCON51383.2020.9284881

[4] Enabling Massive IoT Toward 6G: A Comprehensive Survey [J].

Guo, Fengxian ;

Yu, F. Richard ;

Zhang, Heli ;

Li, Xi ;

Ji, Hong ;

Leung, Victor C. M. .

IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (15) :11891-11915

[5]

Hejazi H, 2018, 2018 IEEE INTERNATIONAL CONFERENCE ON FUTURE IOT TECHNOLOGIES (FUTURE IOT)

[6]

Kashyap R., 2019, 2019 IEEE INT C EL C, P1

[7] A Remote Monitoring and Diagnosis Method Based on Four-Layer IoT Frame Perception [J].

Li, Juanli ;

Liu, Yang ;

Xie, Jiacheng ;

Li, Menghui ;

Sun, Mengzhen ;

Liu, Zhaoyang ;

Jiang, Shuo .

IEEE ACCESS, 2019, 7 :144324-144338

[8] Energy-Efficient Fog Computing for 6G-Enabled Massive IoT: Recent Trends and Future Opportunities [J].

Malik, Usman Mahmood ;

Javed, Muhammad Awais ;

Zeadally, Sherali ;

ul Islam, Saif .

IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (16) :14572-14594

[9] AI Models for Green Communications Towards 6G [J].

Mao, Bomin ;

Tang, Fengxiao ;

Kawamoto, Yuichi ;

Kato, Nei .

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2022, 24 (01) :210-247

[10] Spectrum Management in the 6G Era: The Role of Regulation and Spectrum Sharing [J].

Matinmikko-Blue, Marja ;

Yijola, Seppo ;

Ahokangas, Petri .

2020 2ND 6G WIRELESS SUMMIT (6G SUMMIT), 2020,

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