sis 22(2): e3

Research Article

An Overview on Active Transmission Techniques for Wireless Scalable Networks

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  • @ARTICLE{10.4108/eetsis.v9i6.2419,
        author={Yajuan Tang and Shiwei Lai and Zichao Zhao 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 Huang Huang and Xuan Zhou and Wei Zhou and Zhao Wang and Kai Chen and Chao Li and Yun Li and Kaimeno Dube and Abbarbas Muazu and Nakilavai Rono and Suili Feng and Jiayin Qin and Haige Xiang and Zhigang Cao and Lieguang Zeng and Zhixing Yang and Zhi Wang and Yan Xu and Xiaosheng Lin and Zizhi Wang and Yu Zhang and Bowen Lu and Wanxin Zou},
        title={An Overview on Active Transmission Techniques for Wireless Scalable Networks},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={10},
        number={2},
        publisher={EAI},
        journal_a={SIS},
        year={2022},
        month={9},
        keywords={Active transmission, latency, data rate, energy consumption},
        doi={10.4108/eetsis.v9i6.2419}
    }
    
  • Yajuan Tang
    Shiwei Lai
    Zichao Zhao
    Yanyi Rao
    Wen Zhou
    Fusheng Zhu
    Liming Chen
    Dan Deng
    Jing Wang
    Tao Cui
    Yuwei Zhang
    Jun Liu
    Di Wu
    Huang Huang
    Xuan Zhou
    Wei Zhou
    Zhao Wang
    Kai Chen
    Chao Li
    Yun Li
    Kaimeno Dube
    Abbarbas Muazu
    Nakilavai Rono
    Suili Feng
    Jiayin Qin
    Haige Xiang
    Zhigang Cao
    Lieguang Zeng
    Zhixing Yang
    Zhi Wang
    Yan Xu
    Xiaosheng Lin
    Zizhi Wang
    Yu Zhang
    Bowen Lu
    Wanxin Zou
    Year: 2022
    An Overview on Active Transmission Techniques for Wireless Scalable Networks
    SIS
    EAI
    DOI: 10.4108/eetsis.v9i6.2419
Yajuan Tang1,*, Shiwei Lai2, Zichao Zhao2, Yanyi Rao2, Wen Zhou3, Fusheng Zhu4, Liming Chen5, Dan Deng6, Jing Wang7, Tao Cui7, Yuwei Zhang7, Jun Liu7, Di Wu8, Huang Huang9, Xuan Zhou10, Wei Zhou11, Zhao Wang12, Kai Chen13, Chao Li14, Yun Li15, Kaimeno Dube16, Abbarbas Muazu17, Nakilavai Rono18, Suili Feng14, Jiayin Qin19, Haige Xiang20, Zhigang Cao19, Lieguang Zeng16, Zhixing Yang17, Zhi Wang16, Yan Xu17, Xiaosheng Lin18, Zizhi Wang18, Yu Zhang14, Bowen Lu21, Wanxin Zou21
  • 1: Shantou University
  • 2: Guangzhou University
  • 3: Nanjing Forestry University
  • 4: Guangdong New Generation Communication and Network Innovative Institute (GDCNi), Guangzhou, China
  • 5: Electric Power Research Institute of CSG, Guangzhou, China
  • 6: University of Science and Technology of China
  • 7: Tsinghua University
  • 8: Beijing University of Posts and Telecommunications
  • 9: Huawei Technologies (Germany)
  • 10: Huawei Technologies (France)
  • 11: Huawei Technologies (Canada)
  • 12: Ericsson (Sweden)
  • 13: Huawei Technologies (Sweden)
  • 14: Hamdard University
  • 15: University of Illinois Urbana-Champaign
  • 16: Vaal University of Technology
  • 17: Baze University
  • 18: Rongo University
  • 19: King Abdullah University of Science and Technology
  • 20: Ahmedabad University
  • 21: Vishwakarma University
*Contact email: yjtang@ieee.org

Abstract

Currently, massive data communication and computing pose a severe challenge on existing wireless network architecture, from various aspects such as data rate, latency, energy consumption and pricing. Hence, it is of vital importance to investigate active wireless transmission for wireless networks. To this end, we first overview the data rate of wireless active transmission. We then overview the latency of wireless active transmission, which is particularly important for the applications of monitoring services. We further overview the spectral efficiency of the active transmission, which is particularly important for the battery-limited Internet of Things (IoT) networks. After these overviews, we give several critical challenges on the active transmission, and we finally present feasible solutions to meet these challenges. The work in this paper can serve as an important reference to the wireless networks and IoT networks.