Cited by 105Advanced Wireless Communication TechnologiesAdvanced Data and IoT TechnologiesSoftware-Defined Networks and 5G

6G: Connecting Everything by 1000 Times Price Reduction

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Zhang, Shunqing, Xiang, Chenlu, Xu, Shugong·2020·IEEE Open Journal of Vehicular Technology

Abstract

The commercial deployment of 5G communication networks makes the industry and academia to seriously consider the possible solutions for the next generation. Although the conventional approach indicates that 6G vision and requirements can be figured out by simply multiplying a certain amount of magnitude on top of the previous generations, we argue in this article that 1000 times price reduction from the customer's view point is the key to success. Guided by this vision, we categorize the current candidate technologies in a well organized manner and select AI-assisted intelligent communications as an example to elaborate the drive-force behind. Although it is impossible to identify every detail of 6G during the current time frame, we believe this article will help to eliminate the technical uncertainties and aggregate the efforts towards key breakthrough innovations for 6G.

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Research works printed but not linked: 4

  1. W. Saad, M. Bennis, and M. Chen, "A vision of 6G wireless systems: Applications, trends, technologies, and open research problems," IEEE Netw., to be published.
  2. K. B. Letaief, W. Chen, Y. Shi, J. Zhang, and Y.-J. A. Zhang, "The roadmap to 6G: AI empowered wireless networks," IEEE Commun. Mag., vol. 57, no. 8, pp. 84-90, Aug. 2019.
  3. W. Shi et al., "Real-time single image and video super-resolution using an efficient bub-pixel convolutional neural network," in Proc. IEEE Conf. Comput. Vision Pattern Recognit., 2016, pp. 1874-1883.
  4. M. Kotaru, K. Joshi, D. Bharadia, and S. Katti, "SpotFi: Decimeter level localization using WiFi," in Proc. ACM Conf. Special Interest Group Data Commun., 2015, pp. 269-282.

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Authors
Zhang, S., Xiang, C., & Xu, S.
Affiliations
Shanghai University (CN)
Venue
IEEE Open Journal of Vehicular Technology
Published
2020
Volume
1
Pages
107-115
ISSN
2644-1330 (ISSN-L)
OpenAlex
W3011296336
Cited by
105
References
58
Citations by year
2026: 5 · 2025: 18 · 2024: 14 · 2023: 20 · 2022: 15 · 2021: 22 · 2020: 11
FWCI
5.84
Type
journal article
Language
en
Open access
Locations
  • IEEE Open Journal of Vehicular Technology (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • arXiv (Cornell University)
Funders
  • National Natural Science Foundation of China (61701293, 61871262)
  • National Science and Technology Major Project (2018ZX03001009)
  • National Key Research and Development Program of China (2017YFE0121400)
  • Huawei Innovation Research Program
  • Shanghai Institute for Advanced Communication and Data Science
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
  • Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
Keywords
6G, next-generation wireless networks, cost reduction, customer perspective, network requirements, technology categorization

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