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Rohit Kumar

4 papers hereh-index 7115 citations35 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP4
same name
  • Rohit Kumar — 24 papers, h 3
  • Rohit Kumar — 20 papers, h 14
  • Rohit Kumar — 16 papers, h 8
  • Rohit Kumar — 13 papers, h 10
  • Rohit Kumar — 7 papers, h 6
  • Rohit Kumar — 7 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

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…

eess.SP2018

Distributed Learning Algorithms for Opportunistic Spectrum Access in Infrastructure-less Networks

Rohit Kumar, Sumit J. Darak, Manjesh K. Hanawal +1

An opportunistic spectrum access (OSA) for the infrastructure-less (or cognitive ad-hoc) network has received significant attention thanks to emerging paradigms such as the Interne…

eess.SP2018

Throughput Optimized Non-Contiguous Wideband Spectrum Sensing via Online Learning and Sub-Nyquist Sampling

Himani Joshi, Sumit J Darak, A Anil Kumar +1

In this paper, we consider non-contiguous wideband spectrum sensing (WSS) for spectrum characterization and allocation in next generation heterogeneous networks. The proposed WSS c…

eess.SP2018

Learning to Coordinate in a Decentralized Cognitive Radio Network in Presence of Jammers

Suneet Sawant, Rohit Kumar, Manjesh K. Hanawal +1

Efficient utilization of licensed spectrum in the cognitive radio network is challenging due to lack of coordination among the Secondary Users (SUs). Distributed algorithms propose…

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