activity
20182020
collaborators

10 papers

eess.SY2020

Towards Intelligent Reconfigurable Wireless Physical Layer (PHY)

Neelam Singh, S. V. Sai Santosh, Sumit J. Darak

Next-generation wireless networks are getting significant attention because they promise 10-factor enhancement in mobile broadband along with the potential to enable new heterogene…

eess.SP2020

Design and Implementation of Low Complexity Reconfigurable Filtered-OFDM based LDACS

N. Agrawal, A. Ambede, S. J. Darak +2

L-band Digital Aeronautical Communication System (LDACS) aims to exploit vacant spectrum in L-band via spectrum sharing, and orthogonal frequency division multiplexing (OFDM) is th…

eess.SP2020

Reconfigurable and Intelligent Ultra-Wideband Angular Sensing: Prototype Design and Validation

Himani Joshi, Sumit J. Darak, Mohammad Alaee-Kerahroodi +1

The emergence of beyond-licensed spectrum sharing in FR1 (0.45-6 GHz) and FR2 (24 - 52 GHz) along with the multi-antenna narrow-beam based directional transmissions demand a wideba…

eess.SP2020

Distributed Algorithm for Dynamic Cognitive Ad-hoc Networks

Rohit Kumar, Shaswat Satapathy, Shivani Singh +1

Cognitive ad-hoc networks allow users to access an unlicensed/shared spectrum without the need for any coordination via a central controller and are being envisioned for futuristic…

cs.NI2020

Distributed Learning in Ad-Hoc Networks: A Multi-player Multi-armed Bandit Framework

Sumit J. Darak, Manjesh K. Hanawal

Next-generation networks are expected to be ultra-dense with a very high peak rate but relatively lower expected traffic per user. For such scenario, existing central controller ba…

eess.SP2020

Intelligent and Reconfigurable Architecture for KL Divergence Based Online Machine Learning Algorithm

S. V. Sai Santosh, Sumit J. Darak

Online machine learning (OML) algorithms do not need any training phase and can be deployed directly in an unknown environment. OML includes multi-armed bandit (MAB) algorithms tha…