6G: Connecting Everything by 1000 Times Price Reduction
Open accessAbstract
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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Transforming Vehicular Networks: How 6G can Revolutionize Intelligent Transportation?
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From Standard Policy-Based Zero Trust to Absolute Zero Trust (AZT): A Quantum Leap to Q-Day Security
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A Novel Routing Strategy Towards Achieving Ultra-Low End-to-End Latency in 6G Networks
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A Comprehensive Survey on 6G Networks: Key Technologies and Challenges
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6G Wireless Communication Systems and Its Applications
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A Complex Network and Evolutionary Game Theory Framework for 6G Function Placement
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Full-Duplex mmWave Radio-Over-Fiber Architecture With Simplified Photonic Frequency Translation
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Generation rate control with AoI under traffic hole problem in vehicular networks
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Self-citation
- 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
- gold
- doi.org
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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