activity
20042023
most citedBeamforming Tradeoffs for Initial UE Discovery in Millimeter-Wave MIMO Systems

187 citations · 219 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023★ 24 cited

FP8 versus INT8 for efficient deep learning inference

Mart van Baalen, Andrey Kuzmin, Suparna S Nair +8

Recently, the idea of using FP8 as a number format for neural network training has been floating around the deep learning world. Given that most training is currently conducted wit…

cs.IT2018★ 4 cited

Investigation of Performance in Integrated Access and Backhaul Networks

Muhammad Nazmul Islam, Navid Abedini, Georg Hampel +2

Wireless backhaul allows densification of mobile networks without incurring additional fiber deployment cost. This, in turn, leads to high spatial reuse, which is a significant too…

cs.IT2017★ 4 cited

Millimeter Wave MIMO Prototype: Measurements and Experimental Results

Vasanthan Raghavan, Andrzej Partyka, Ashwin Sampath +6

Millimeter-wave multi-input multi-output (mm-Wave MIMO) systems are one of the candidate schemes for 5G wireless standardization efforts. In this context, the main contributions of…

cs.IT2016★ 187 cited

Beamforming Tradeoffs for Initial UE Discovery in Millimeter-Wave MIMO Systems

Vasanthan Raghavan, Juergen Cezanne, Sundar Subramanian +2

Millimeter-wave MIMO systems have gained increasing traction towards the goal of meeting the high data-rate requirements in next-generation wireless systems. The focus of this work…

cs.IT2016

Directional Beamforming for Millimeter-Wave MIMO Systems

Vasanthan Raghavan, Sundar Subramanian, Juergen Cezanne +1

The focus of this paper is on beamforming in a millimeter-wave (mmW) multi-input multi-output (MIMO) setup that has gained increasing traction in meeting the high data-rate require…

cs.IT2004

Geographic Routing with Limited Information in Sensor Networks

Sundar Subramanian, Sanjay Shakkottai

Geographic routing with greedy relaying strategies have been widely studied as a routing scheme in sensor networks. These schemes assume that the nodes have perfect information abo…