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Wenchi Cheng
Researcher at Xidian University
Publications - 120
Citations - 2785
Wenchi Cheng is an academic researcher from Xidian University. The author has contributed to research in topics: Wireless & Wireless network. The author has an hindex of 25, co-authored 100 publications receiving 1830 citations. Previous affiliations of Wenchi Cheng include Texas A&M University.
Papers
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Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed
TL;DR: In this paper, a comprehensive discussion of 6G is given based on the review of 5G developments, covering visions and requirements, technology trends and challenges, aiming at tackling the challenge of coverage, capacity, the user data rate and movement speed of mobile communication system.
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Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity,User Data-Rate and Movement Speed
TL;DR: A comprehensive discussion of 6G is given based on the review of 5G developments, covering visions and requirements, technology trends and challenges, aiming at tackling the challenge of coverage, capacity, the user data rate and movement speed of mobile communication system.
Journal ArticleDOI
Reliable Computation Offloading for Edge-Computing-Enabled Software-Defined IoV
TL;DR: Performance evaluation results validate that the proposed scheme is indeed capable of reducing the latency as well as improving the reliability of the EC-SDIoV.
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Orbital Angular Momentum for Wireless Communications
TL;DR: In this article, the fundamental theory of OAM and the OAM-based wireless communications is introduced and the research challenges regarding OAM signal generation, OAM beam converging, and OAM reception are discussed.
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Heterogeneous statistical QoS provisioning over 5G mobile wireless networks
TL;DR: This article proposes a novel heterogeneous statistical QoS provisioning architecture for 5G mobile wireless networks and shows that the proposed architecture and schemes significantly outperform the existing traditional statistical delay-bounded QS provisioning schemes in terms of satisfying the heterogeneous delay- bounded QoS requirements while maximizing the aggregate system throughput over 5GMobile wireless networks.