activity
20182022
most cited6G White Paper on Machine Learning in Wireless Communication Networks

94 citations · 96 across the 3 of their papers we have counts for

collaborators

6 papers

cs.IT20221 cited

Multi-Task Learning for Multi-User CSI Feedback

Sharan Mourya, SaiDhiraj Amuru, Kiran Kumar Kuchi

Deep learning-based massive MIMO CSI feedback has received a lot of attention in recent years. Now, there exists a plethora of CSI feedback models mostly based on auto-encoders (AE…

cs.IT202094 cited

6G White Paper on Machine Learning in Wireless Communication Networks

Samad Ali, Walid Saad, Nandana Rajatheva +24

The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless communication networks will be the backbone of the digital transformation of socie…

eess.SP2019

Low PAPR Reference Signal Transceiver Design for 3GPP 5G NR Uplink

M. Sibgath Ali Khan, Sai Dhiraj Amuru, Kiran Kuchi

Low peak-to-average-power ratio (PAPR) transmissions significantly improve the cell coverage as they enable high power transmissions without saturating the power amplifier. A new m…

eess.SP2019

Beam Learning -- Using Machine Learning for Finding Beam Directions

Saidhiraj Amuru

Beamforming is the key enabler for wireless communications in the mmWave bands. 802.11ad and WiGig are wireless technologies that currently use the 60 GHz unlicensed mmWave spectru…

eess.SP20191 cited

A Novel Beamformed Control Channel Design for LTE with Full Dimension-MIMO

Pavan Reddy M., Harish Kumar D., Saidhiraj Amuru +1

The Full Dimension-MIMO (FD-MIMO) technology is capable of achieving huge improvements in network throughput with simultaneous connectivity of a large number of mobile wireless dev…

cs.IT2018

On the Phase Tracking Reference Signal (PT-RS) Design for 5G New Radio (NR)

Yinan Qi, Mythri Hunukumbure, Hyungju Nam +2

The volume of mobile data traffic has been driven to an unprecedented high level due to the proliferation of smartphones/mobile devices that support a wide range of broadband appli…