一种划分小区域的区块链频谱共享管理方法

doi:10.19665/j.issn1001-2400.2020.06.018

Abstract

Abstract:

In view of the low capacity and vulnerability of the spectrum sharing system architecture in traditional RANs (Radio Access Networks), a method of the distributed spectrum sharing system based on the small area blockchain is proposed . To ensure the integrity and security of the user’s transaction data, the blockchain distributed ledger storage technology is used for storing the complete data of all nodes in the blockchain. The nodes are classified according to their functions, and the mobile end users act as light nodes which can reduce their energy consumption and cost. The spectrum resource providers are divided into different blockchains by the k-means clustering algorithm to reduce the delay caused by the consensus process. In this paper, the spectrum resource providers are used as consensus nodes, and the mobile end nodes are used as light nodes. Simulation results show that the method of the small area blockchain proposed in this paper increases the number of block confirmations, and the average time for all nodes to complete the confirmations in the system is 16 seconds, while the similar scheme studied in the related work shows that it would take 36 seconds to complete the minimum number of confirmations under the premise of ensuring the security of the system. The proposed method can both improve the security of the system and reduce the delay of the new block confirmation process.

Key words: spectrum sharing, blockchain, k-means clustering, blockchain node

CLC Number:

TN918.91

LI Jinze,WANG Zhonghao,LI Mengheng,QIN Tuanfa. Spectrum sharing management method for the small-area-blockchain based on district partition[J].Journal of Xidian University, 2020, 47(6): 122-130.

Figures/Tables 7

References 15

[1]	ZHANG Z, XIAO Y, MA Z, et al. 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies[J]. IEEE Vehicular Technology Magazine, 2019. 14(3): 28-41.
[2]	SAAD W, BENNIS M, CHEN M. A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems[J]. IEEE Network, 2020, 34(3): 134-142.
[3]	GIORDANI M, POLESE M, MEZZAVILLA M, et al. Toward 6G Networks: Use Cases and Technologies[J]. IEEE Communications Magazine, 2020. 58(3): 55-61. doi: 10.1109/MCOM.35
[4]	VISWANATHAN H, MOGENSEN P E. Communications in the 6G Era[J]. IEEE Access, 2020, 8: 57063-57074. doi: 10.1109/Access.6287639
[5]	易芝玲, 王森, 韩双锋, 等. 从5G到6G的思考:需求、挑战与技术发展趋势[J]. 北京邮电大学学报, 2020, 43(2): 1-9.
	YI Zhiling, WANG Sen, HAN Shuangfeng, et al. From 5G to 6G: Requirements, Challenges and Technical Trends[J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(2): 1-9.
[6]	DEVI M, SARMA N, DEKA S K. Allocation and access mechanisms for spectrum sharing in CRNs - a brief review[C]// Proceedings of the 2016 International Conference on Accessibility to Digital World. Piscataway: IEEE, 2016: 117-120.
[7]	HAO X, PAULO V K, OLUWAKAYODE O, et al. Blockchain-enabled Resource Management and Sharing for 6G Communications[J/OL]. [2020-09-10]. https://arxiv.org/pdf/2003.13083.pdf.
[8]	KHASHAYAR K, PHILIP B M, CONRAD S T, et al. Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio[J]. Electronics, 2015. 4(2): p. 221-238. doi: 10.3390/electronics4020221
[9]	MOHAMMED H, AHMAD A A, ALA A, et al. Distributed Opportunistic Spectrum Sharing in Cognitive Radio Networks[J]. International Journal of Communication Systems, 2017, 30(7): 1-30.
[10]	HANDOUF S, SABIR E, SADIK M. A Leasing-based Spectrum Sharing Framework for Cognitive Radio Networks[C]// Proceedings of the 2018 International Conference on Wireless Networks and Mobile Communications. Piscataway: IEEE, 2018: 8629740.
[11]	王钦辉, 叶保留, 田宇, 等. 认知无线电网络中频谱分配算法[J]. 电子学报, 2012. 40(1): 147-154. doi: 10.3969/j.issn.0372-2112.2012.01.024
	WANG Qinhui, YE Baoliu, TIAN Yu, et al. Survey on Spectrum Allocation Algorithms for Cognitive Radio Networks[J]. Acta Electronica Sinica, 2012, 40(1): 147-154. doi: 10.3969/j.issn.0372-2112.2012.01.024
[12]	WEISS M B H, WERBACH K, SICKER D C, et al. On the Application of Blockchains to Spectrum Management[J]. IEEE Transactions on Cognitive Communications and Networking, 2019. 5(2): 193-205. doi: 10.1109/TCCN.6687307
[13]	KOTOBI K, BILEN S G. Secure Blockchains for Dynamic Spectrum Access: A Decentralized Database in Moving Cognitive Radio Networks Enhances Security and User Access[J]. IEEE Vehicular Technology Magazine, 2018. 13(1): 32-39. doi: 10.1109/MVT.2017.2740458
[14]	LING X, WANG J, BOUCHOUCHA T, et al. Blockchain Radio Access Network (B-RAN): Towards Decentralized Secure Radio Access Paradigm[J]. IEEE Access, 2019. 7: 9714-9723. doi: 10.1109/Access.6287639
[15]	WANG W, HOANG D T, HU P, et al. A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks[J]. IEEE Access, 2019. 7: 22328-22370. doi: 10.1109/ACCESS.2019.2896108

Spectrum sharing management method for the small-area-blockchain based on district partition

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 15

Related Articles 15

Metrics

Comments

Recommended 10

[1]	ZHANG Chunxiang,ZHOU Xuesong,GAO Xueyao,LIU Huan. Semi-supervised word sense disambiguation by combining k-means clustering and the LSTM network [J]. Journal of Xidian University, 2021, 48(6): 161-171.
[2]	YANG Yanbo,ZHANG Jiawei,MA Jianfeng. Method for using the blockchain to protect data privacy of IoV [J]. Journal of Xidian University, 2021, 48(3): 21-30.
[3]	ZHAI Sheping,WANG Yijing,CHEN Siji. Research on the application of blockchain technology in the sharing of electronic medical records [J]. Journal of Xidian University, 2020, 47(5): 103-112.
[4]	ZHANG Yinghao,LIU Xiaofan. Preliminary research on the blockchain protocol in satellite broadcasting network environment [J]. Journal of Xidian University, 2020, 47(5): 11-18.
[5]	LI Han,ZHANG Chen,HUANG Hejiao,GUO Yu. Algorithm for encrypted search with forward secure updates and verification [J]. Journal of Xidian University, 2020, 47(5): 48-56.
[6]	DING Yong,XIANG Hengkui,LUO Decun,ZOU Xiuqing,LIANG Hai. Scheme for electronic certificate storage by combining Fabric technology [J]. Journal of Xidian University, 2020, 47(5): 113-121.
[7]	ZHAO Zijun,YING Zuobin,YANG Zhao,LIU Ximeng,MA Jianfeng. Recommendation of platoon members by combining the blockchain and vehicular social network [J]. Journal of Xidian University, 2020, 47(5): 122-129.
[8]	SI Chengxiang,GAO Feng,ZHU Liehuang,GONG Guopeng,ZHANG Can,CHEN Zhuo,LI Ruiguang. Covert data transmission mechanism based on dynamic label in blockchain [J]. Journal of Xidian University, 2020, 47(5): 94-102.
[9]	LAN Yiqin,ZHANG Fangguo,TIAN Haibo. Using Monero to realize covert communication [J]. Journal of Xidian University, 2020, 47(5): 19-27.
[10]	WANG Hui,WANG Licheng,BAI Xue,LIU Qinghua,SHEN Xiaoying. Research on key technology of blockchain privacy protection and scalability [J]. Journal of Xidian University, 2020, 47(5): 28-39.
[11]	WANG Jiaheng,LE Yuwei,ZHANG Bowen,GUO Ruiwei,GAO Zheng,WANG Ziyue,LING Xintong. Blockchain radio access network:a new architecture for future mobile communications [J]. Journal of Xidian University, 2020, 47(5): 3-10.
[12]	LIU Naian,CHEN Zhihao,LIU Guokun,LI Yang. Mechanism for proof-of-reputation consensus for blockchain validator nodes [J]. Journal of Xidian University, 2020, 47(5): 57-62.
[13]	MA Shiyang,DONG Xuewen,QUAN Yining,TONG Wei,YANG Lingxiao. Method for evaluation of web services compatibility based on the blockchain’s consensus algorithm [J]. Journal of Xidian University, 2020, 47(5): 63-69.
[14]	XIE Yixi,JI Lixin. Blockchain-based bio-inspired distributed detection approach [J]. Journal of Xidian University, 2020, 47(5): 70-76.
[15]	CHEN Siji,ZHAI Sheping,WANG Yijing. Blockchain privacy protection algorithm based on ring signature [J]. Journal of Xidian University, 2020, 47(5): 86-93.