R
Russell Ford
Researcher at New York University
Publications - 33
Citations - 1242
Russell Ford is an academic researcher from New York University. The author has contributed to research in topics: Cellular network & Physical layer. The author has an hindex of 14, co-authored 32 publications receiving 1019 citations. Previous affiliations of Russell Ford include Harbin Institute of Technology & Samsung.
Papers
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Journal ArticleDOI
End-to-End Simulation of 5G mmWave Networks
Marco Mezzavilla,Menglei Zhang,Michele Polese,Russell Ford,Sourjya Dutta,Sundeep Rangan,Michele Zorzi +6 more
TL;DR: In this article, the authors provide a tutorial on a recently developed full-stack mmWave module integrated into the widely used ns-3 simulator, which includes a number of detailed statistical channel models as well as the ability to incorporate real measurements or ray tracing data.
Journal ArticleDOI
End-to-End Simulation of 5G mmWave Networks
Marco Mezzavilla,Menglei Zhang,Michele Polese,Russell Ford,Sourjya Dutta,Sundeep Rangan,Michele Zorzi +6 more
TL;DR: This paper provides a tutorial on a recently developed full-stack mmWave module integrated into the widely used open-source ns–3 simulator, and provides several examples that show the performance of the custom mmWave stack as well as custom congestion control algorithms designed specifically for efficient utilization of the mmWave channel.
Journal ArticleDOI
Achieving Ultra-Low Latency in 5G Millimeter Wave Cellular Networks
TL;DR: This article surveys some of the challenges and possible solutions for delivering end-to-end, reliable, ultra-low-latency services in mmWave cellular systems in terms of the MAC layer, congestion control, and core network architecture.
Proceedings ArticleDOI
Transport layer performance in 5G mmWave cellular
Menglei Zhang,Marco Mezzavilla,Russell Ford,Sundeep Rangan,Shivendra S. Panwar,Evangelos Mellios,Di Kong,Andrew R Nix,Michele Zorzi +8 more
TL;DR: In this article, the authors present the first performance evaluation of TCP congestion control in next-generation mmWave networks, which can incorporate detailed models of the mmWave channel, beamforming and tracking algorithms, and builds on statistical channel models derived from real measurements in New York City, as well as detailed ray traces.
Posted Content
Achieving Ultra-Low Latency in 5G Millimeter Wave Cellular Networks
TL;DR: In this paper, the authors survey the challenges and possible solutions for delivering end-to-end, reliable, ultra-low latency services in mmWave cellular systems in terms of the Medium Access Control (MAC) layer, congestion control and core network architecture.