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20202023
most citedInterference Suppression Using Deep Learning: Current Approaches and Open Challenges

86 citations · 281 across the 11 of their papers we have counts for

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5 papers · 1 filter

eess.SP2023★ 12 cited

Keep It Simple: CNN Model Complexity Studies for Interference Classification Tasks

Taiwo Oyedare, Vijay K. Shah, Daniel J. Jakubisin +1

The growing number of devices using the wireless spectrum makes it important to find ways to minimize interference and optimize the use of the spectrum. Deep learning models, such…

eess.SP2023★ 6 cited

Line-of-Sight Probability for Outdoor-to-Indoor UAV-Assisted Emergency Networks

Gaurav Duggal, R. Michael Buehrer, Nishith Tripathi +1

For emergency response scenarios like firefighting in urban environments, there is a need to both localize emergency responders inside the building and also support a high bandwidt…

eess.SP2022★ 1 cited

Probability-Reduction of Geolocation using Reconfigurable Intelligent Surface Reflections

Anders M. Buvarp, Daniel J. Jakubisin, William C. Headley +1

With the recent introduction of electromagnetic meta-surfaces and reconfigurable intelligent surfaces, a paradigm shift is currently taking place in the world of wireless communica…

eess.SP2021★ 86 cited

Interference Suppression Using Deep Learning: Current Approaches and Open Challenges

Taiwo Oyedare, Vijay K Shah, Daniel J Jakubisin +1

In light of the finite nature of the wireless spectrum and the increasing demand for spectrum use arising from recent technological breakthroughs in wireless communication, the pro…

eess.SP2020★ 68 cited

Intelligent O-RAN for Beyond 5G and 6G Wireless Networks

Solmaz Niknam, Abhishek Roy, Harpreet S. Dhillon +5

Building on the principles of openness and intelligence, there has been a concerted global effort from the operators towards enhancing the radio access network (RAN) architecture.…