Intelligent Distributed Data Storage for Wireless Communications in B5G Networks

Yajuan Tang; Shiwei Lai; Yanyi Rao; Wen Zhou; Fusheng Zhu; Liming Chen; Dan Deng; Jing Wang; Tao Cui; Yuwei Zhang; Jun Liu; Di Wu; Zhusong Liu; Huang Huang; Xuan Zhou; Zhao Wang; Zichao Zhao; Chao  Li; Kai Chen; Wei Zhou; Yun  Li; Kaimeno Dube; Abbarbas Muazu; Nakilavai Rono; Sunli  Feng; Jiayin Qin; Haige Xiang; Zhigang Cao; Lieguang  Zeng; Zhixing Yang

Research Article

Intelligent Distributed Data Storage for Wireless Communications in B5G Networks

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@ARTICLE{10.4108/eetmca.v7i2.2415,
    author={Yajuan Tang and Shiwei Lai and Yanyi Rao and Wen Zhou and Fusheng Zhu and Liming Chen and Dan Deng and Jing Wang and Tao Cui and Yuwei Zhang and Jun Liu and Di Wu and Zhusong Liu and Huang Huang and Xuan Zhou and Zhao Wang and Zichao Zhao and Chao  Li and Kai Chen and Wei Zhou and Yun  Li and Kaimeno Dube and Abbarbas Muazu and Nakilavai Rono and Sunli  Feng and Jiayin Qin and Haige Xiang and Zhigang Cao and Lieguang  Zeng and Zhixing Yang},
    title={Intelligent Distributed Data Storage for Wireless Communications in B5G Networks},
    journal={EAI Endorsed Transactions on Mobile Communications and Applications},
    volume={7},
    number={2},
    publisher={EAI},
    journal_a={MCA},
    year={2022},
    month={8},
    keywords={Data storage, wireless transmission, B5G},
    doi={10.4108/eetmca.v7i2.2415}
}

Yajuan Tang
Shiwei Lai
Yanyi Rao
Wen Zhou
Fusheng Zhu
Liming Chen
Dan Deng
Jing Wang
Tao Cui
Yuwei Zhang
Jun Liu
Di Wu
Zhusong Liu
Huang Huang
Xuan Zhou
Zhao Wang
Zichao Zhao
Chao Li
Kai Chen
Wei Zhou
Yun Li
Kaimeno Dube
Abbarbas Muazu
Nakilavai Rono
Sunli Feng
Jiayin Qin
Haige Xiang
Zhigang Cao
Lieguang Zeng
Zhixing Yang
Year: 2022
Intelligent Distributed Data Storage for Wireless Communications in B5G Networks
MCA
EAI
DOI: 10.4108/eetmca.v7i2.2415

Yajuan Tang¹, Shiwei Lai², Yanyi Rao², Wen Zhou³, Fusheng Zhu⁴, Liming Chen⁵, Dan Deng⁶, Jing Wang⁷, Tao Cui⁷, Yuwei Zhang⁷, Jun Liu⁷^,*, Di Wu⁸, Zhusong Liu⁹, Huang Huang¹⁰, Xuan Zhou¹¹, Zhao Wang¹², Zichao Zhao², Chao Li¹³, Kai Chen¹⁴, Wei Zhou¹⁵, Yun Li¹⁶, Kaimeno Dube¹⁷, Abbarbas Muazu¹⁸, Nakilavai Rono¹⁹, Sunli Feng²⁰, Jiayin Qin²⁰, Haige Xiang²¹, Zhigang Cao²⁰, Lieguang Zeng²⁰, Zhixing Yang²⁰

1: Shantou University
2: Guangzhou University
3: Nanjing Forestry University
4: Guangdong New Generation Communication and Network Innovative Institute, China
5: Electric Power Research Institute of CSG, China
6: University of Science and Technology of China
7: Tsinghua University
8: Beijing University of Posts and Telecommunications
9: Anhui University of Technology
10: Huawei Technologies (Germany)
11: Huawei Technologies (France)
12: Ericsson (Sweden)
13: Hamdard University
14: Huawei Technologies (Sweden)
15: Huawei Technologies (Canada)
16: University of Illinois Urbana-Champaign
17: Vaal University of Technology
18: Baze University
19: Rongo University
20: King Abdullah University of Science and Technology
21: Peking University

*Contact email: junliu.thu@ieee.org

Abstract

With the deployment and commercialization of the fifth-generation (5G) mobile communication network, the access nodes and data volume of wireless network show a massive and blowout growth trend. Taking beyond 5G (B5G) edge intelligent network as the research object, based on the deep integration of storage / computing and communication, this paper focuses on the theory and key technology of system intelligent transmission, so as to effectively support the related applications of B5G edge intelligent network in the future. This paper analyzes the research status of data storage, studies the real field distributed storage computing system, and designs the corresponding flashback shift code and error correction scheme with low storage space overhead.

Keywords: Data storage, wireless transmission, B5G

Received: 2022-08-05
Accepted: 2022-08-22
Published: 2022-08-25
Publisher: EAI

: http://dx.doi.org/10.4108/eetmca.v7i2.2415

Copyright © 2022 Yajuan Tang et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.