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Yuanpeng Liu
Researcher at New York University
Publications - 30
Citations - 2442
Yuanpeng Liu is an academic researcher from New York University. The author has contributed to research in topics: Computer science & Communication channel. The author has an hindex of 10, co-authored 18 publications receiving 2131 citations.
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Journal ArticleDOI
Millimeter Wave Channel Modeling and Cellular Capacity Evaluation
Mustafa Riza Akdeniz,Yuanpeng Liu,Mathew K. Samimi,Shu Sun,Sundeep Rangan,Theodore S. Rappaport,Elza Erkip +6 more
TL;DR: Detailed spatial statistical models of the channels are derived and it is found that, even in highly non-line-of-sight environments, strong signals can be detected 100-200 m from potential cell sites, potentially with multiple clusters to support spatial multiplexing.
Posted Content
Millimeter Wave Channel Modeling and Cellular Capacity Evaluation
Mustafa Riza Akdeniz,Yuanpeng Liu,Mathew K. Samimi,Shu Sun,Sundeep Rangan,Theodore S. Rappaport,Elza Erkip +6 more
TL;DR: In this article, the authors derived detailed spatial statistical models of the channels and used these models to provide a realistic assessment of mmW micro- and picocellular networks in a dense urban deployment.
Posted Content
Millimeter Wave Picocellular System Evaluation for Urban Deployments
TL;DR: It is found that millimeter wave systems can offer an order of magnitude increase in capacity over current state-of-the-art 4G cellular networks with similar cell density, however, it is also shown that such mmW networks will operate in an extremely power-limited regime where the full spatial and bandwidth degrees of freedom are not fully utilized.
Proceedings ArticleDOI
Millimeter wave picocellular system evaluation for urban deployments
TL;DR: In this paper, the authors used real-world measurements at 28 GHz to provide the first systematic assessment of mmW picocellular networks, and they found that even with its limited propagation characteristics, mmW systems can offer an order of magnitude increase in capacity over current state-of-the-art 4G cellular networks with similar cell density.
Proceedings ArticleDOI
Cooperative MAC for Rate Adaptive Randomized Distributed Space-Time Coding
TL;DR: A MAC layer solution that allows multiple relays to send information to the receiver at unison, using a randomized distributed space time code, which can recruit relays on the fly, thus significantly reducing signaling overhead is proposed.