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
A distributed MAC protocol for full duplex radio
TL;DR: Simulations comparing the performance of the proposed full duplex MAC design with traditional half duplex based IEEE 802.11 DCF show that the new MAC protocol provides up to 88% throughput gain in a heavily loaded network.
Proceedings ArticleDOI
Improving small cell capacity with common-carrier full duplex radios
TL;DR: This work considers the application to small cells, in particular resource-managed cellular systems similar to the TDD variant of LTE, and presents a hybrid scheduler that defaults to half duplex operation but can assign full duplex timeslots when it is advantageous to do so.
Proceedings ArticleDOI
On the performance of a dual round-robin switch
TL;DR: It is proved that the DRRM switch can achieve 100% throughput under i.i.d. and uniform traffic and is the first practical matching scheme for which this property has been proved.
Journal ArticleDOI
Will TCP Work in mmWave 5G Cellular Networks
Menglei Zhang,Michele Polese,Marco Mezzavilla,Jing Zhu,Sundeep Rangan,Shivendra S. Panwar,and Michele Zorzi +6 more
TL;DR: In this article, the authors provide a comprehensive simulation study of TCP considering various factors such as the congestion control algorithm, including the recently proposed TCP BBR, edge vs. remote servers, handover and multi-connectivity, TCP packet size, and 3GPP stack parameters.
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.