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20162026
most citedVariable Cutoff Frequency FIR Filters: A Survey

8 citations · 20 across the 35 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.NI2018

Multi-player Multi-armed Bandits for Stable Allocation in Heterogeneous Ad-Hoc Networks

Sumit J Darak, Manjesh K. Hanawal

Next generation networks are expected to be ultradense and aim to explore spectrum sharing paradigm that allows users to communicate in licensed, shared as well as unlicensed spect…

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…

cs.LG2018

Multi-Player Bandits: A Trekking Approach

Manjesh K. Hanawal, Sumit J. Darak

We study stochastic multi-armed bandits with many players. The players do not know the number of players, cannot communicate with each other and if multiple players select a common…

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★ 8 cited

Variable Cutoff Frequency FIR Filters: A Survey

Sumedh Dhabu, Abhishek Ambede, Smitha K. G. +2

Many signal processing applications require digital filters with variable frequency characteristics, especially the filters with variable bandwidth. Due to their linear phase and i…

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…