Neagin Neasamoni Santhi

PhD Candidate

Education

  • Ph.D. in Electrical Engineering - Northeastern University, Boston (Expected 2026)
  • M.E. in Electrical Engineering - Texas A&M University, College Station (2019)
  • M.Tech. in Electrical Engineering - Indian Istitute of Technology, Hyderabad (2015)
  • B.Tech. in Electronics and Communication Engineering - College of Engineering, Trivandrum (2013)

Research Interests

  • 5G NR
  • Wireless Communications
  • Information Theory and Coding
  • Signal processing

Bio

Neagin Neasamoni Santhi received the B.Tech. degree in Electronics and Communication Engineering from College of Engineering, Trivandrum, the M.Tech. degree in Electrical Engineering from Indian Istitute of Technology, Hyderabad and the M.E. degree in Electrical Engineering from Texas A&M University, College Station in 2013, 2015 and 2019, respectively. She is a PhD student, working under the guidance of Dr.Tommaso Melodia at Northeastern University, Boston from September 2019. Her research interests include Wireless Communications, Information Theory and Coding and Signal Processing..

Publications

N. Santhi, M. Polese, and T. Melodia. "An End-to-End Programmable Testbed for the Experimental Evaluation of Video Streaming at mmWaves", 2022 IEEE Globecom Workshops (GC Wkshps) (2022), DOI:10.1109/GCWkshps56602.2022.10008612

The harsh propagation environment in the millimeter wave (mmWave) band impacts all the layers of the protocol stack. This calls for full-stack, end-to-end performance evaluation platforms, with programmable lower layers, to enable cross-layer approaches, and with the support for application data traffic and transport protocols. So far, most full-stack mmWave studies have relied on commercial mmWave devices, which have limited insights and programmability at the link level, or on simulations. This paper introduces a fully programmable, software-defined platform for the design, prototyping, and evaluation of the end-to-end application performance at 60 GHz. It extends the NI mmWave Transceiver System (MTS) with real-time video streaming capabilities and a reliable retransmission-based Medium Access Control (MAC) layer. This platform establishes a framework that can be used for the development and evaluation of cross-layer optimization at mmWaves. We evaluate the performance of a video streaming use case with different video bitrates, Modulation and Coding Schemes (MCSs), and link configurations, to showcase the end-to-end, full-stack capabilities of the platform, and discuss the challenges for the support of real-time application traffic over a link with 2 GHz of bandwidth.

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