L
Li Su
Researcher at Tsinghua University
Publications - 174
Citations - 4122
Li Su is an academic researcher from Tsinghua University. The author has contributed to research in topics: Forwarding plane & Network on a chip. The author has an hindex of 27, co-authored 164 publications receiving 3602 citations. Previous affiliations of Li Su include Shanghai University.
Papers
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Journal ArticleDOI
A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges
TL;DR: A survey of existing solutions and standards is carried out, and design guidelines in architectures and protocols for mmWave communications are proposed, to facilitate the deployment of mmWave communication systems in the future 5G networks.
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A Survey of Millimeter Wave (mmWave) Communications for 5G: Opportunities and Challenges.
TL;DR: A survey of existing solutions and standards is carried out, and design guidelines in architectures and protocols for mmWave communications are proposed, which should be further investigated to facilitate the deployment of mmWave communication systems in the future 5G networks.
Journal ArticleDOI
Exploiting Device-to-Device Communications in Joint Scheduling of Access and Backhaul for mmWave Small Cells
TL;DR: In this paper, the authors proposed a joint transmission scheduling scheme for the radio access and backhaul of small cells in the mmWave band, where a path selection criterion is designed to enable device-to-device transmissions for performance improvement.
Proceedings ArticleDOI
OpenRAN: a software-defined ran architecture via virtualization
TL;DR: OpenRAN is proposed, an architecture for software-defined RAN via virtualization that achieves complete virtualization and programmability vertically, and benefits the convergence of heterogeneous network horizontally.
Journal ArticleDOI
Energy-Efficient Optimal Opportunistic Forwarding for Delay-Tolerant Networks
TL;DR: This paper investigates the problem of energy-efficient opportunistic forwarding for DTNs by introducing a continuous-time Markov framework, and finds that the threshold dynamic policy is optimal for both two-hop and epidemic forwarding.