S
Shivendra S. Panwar
Researcher at New York University
Publications - 332
Citations - 9246
Shivendra S. Panwar is an academic researcher from New York University. The author has contributed to research in topics: Wireless network & Network packet. The author has an hindex of 46, co-authored 322 publications receiving 8753 citations. Previous affiliations of Shivendra S. Panwar include Princeton University & Fujitsu.
Papers
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Proceedings ArticleDOI
Resource sharing among mmWave cellular service providers in a vertically differentiated duopoly
TL;DR: In this article, detailed network simulations are used to better understand the economic implications of resource sharing in a vertically differentiated duopoly market for cellular service, and the results suggest that resource sharing is less often profitable for millimeter wave service providers compared to microwave cellular service providers, and does not necessarily increase consumer surplus.
Posted Content
Spectrum and Infrastructure Sharing in Millimeter Wave Cellular Networks: An Economic Perspective.
TL;DR: The results suggest that "open" deployments of neutral small cells that serve subscribers of any service provider encourage market entry by making it easier for networks to reach critical mass, more than " open" (unlicensed) spectrum would.
Proceedings ArticleDOI
A weighted max-min fair rate allocation for available bit rate service
TL;DR: The weighted max-min (WMM) policy is presented, with the "weight" of each connection being its MCR requirement (the authors assume a nonzero MCR for each ABR connection), and an explicit-rate (ER) based ABR switch algorithm is developed to achieve the WMM policy in the distributed network environment.
Posted Content
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: This paper presents the first performance evaluation of TCP congestion control in next-generation mmWave networks using the recently developed end-to-end mmWave ns3-based framework, 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.
Journal ArticleDOI
On network bandwidth allocation policies and feedback control algorithms for packet networks
TL;DR: This paper summarizes the experience on the design of network bandwidth allocation policies and distributed rate calculation algorithms for packet-switched networks and discusses two rate allocation policies: the generalized max–min (GMM) and the weight-proportional max-min (WPMM) policies, both of which generalize the classical max–Min rate allocation policy.